BEGIN:VCALENDAR VERSION:2.0 PRODID:-//UM//UM*Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Detroit TZURL:http://tzurl.org/zoneinfo/America/Detroit X-LIC-LOCATION:America/Detroit BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20070311T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20071104T020000 RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20250513T122307 DTSTART;TZID=America/Detroit:20250916T093000 DTEND;TZID=America/Detroit:20250916T110000 SUMMARY:Workshop / Seminar:CoderSpaces - Tuesdays DESCRIPTION:Are you grappling with a piece of code\, trying to compute on a cluster\, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\n\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\n\nTuesdays\, 9:30-11 a.m. ET\, via Zoom (Meeting ID:94181215786)\nWednesdays\, 1:30-3 p.m. ET\, via Zoom (Meeting ID: 98659357324) UID:117253-21865848@events.umich.edu URL:https://events.umich.edu/event/117253 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION: CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250916T101927 DTSTART;TZID=America/Detroit:20250916T103000 DTEND;TZID=America/Detroit:20250916T120000 SUMMARY:Lecture / Discussion:“Old Money: Campaign Finance and Gerontocracy in the United States” DESCRIPTION:Join the Stone Center for Inequality Dynamics as we host Jake Grumbach\, an associate professor at the Goldman School of Public Policy at UC Berkeley.\n\nAbstract: “Compared to those of other countries\, politicians in the United States are among the oldest. We investigate the role of money in politics in maintaining age inequality in political influence and office-holding. Using record linkage\, we create a novel dataset that combines administrative data on the age of voters\, donors\, and candidates. Descriptively\, we find that the median dollar in the U.S. campaign finance system comes from a 66-year-old donor—significantly older than the median voter\, candidate\, or elected official—and that older donors are much more ideologically conservative than younger donors. We then investigate whether candidate age matters to donors. Results from within-district and within-donor analyses suggest that individuals are more likely to donate and donate more to candidates closer to their age. We conclude with a discussion of how various campaign finance policies might affect the age distribution of money in politics.” UID:136545-21878813@events.umich.edu URL:https://events.umich.edu/event/136545 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Institute For Social Research - 6050 CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250102T120705 DTSTART;TZID=America/Detroit:20250917T133000 DTEND;TZID=America/Detroit:20250917T150000 SUMMARY:Workshop / Seminar:CoderSpaces - Wednesday DESCRIPTION:Are you grappling with a piece of code\, trying to compute on a cluster\, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\n\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\n\nTuesdays\, 9:30-11 a.m. ET\, via Zoom (Meeting ID:94181215786)\nWednesdays\, 1:30-3 p.m. ET\, via Zoom (Meeting ID: 98659357324) UID:117252-21865901@events.umich.edu URL:https://events.umich.edu/event/117252 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250513T122307 DTSTART;TZID=America/Detroit:20250923T093000 DTEND;TZID=America/Detroit:20250923T110000 SUMMARY:Workshop / Seminar:CoderSpaces - Tuesdays DESCRIPTION:Are you grappling with a piece of code\, trying to compute on a cluster\, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\n\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\n\nTuesdays\, 9:30-11 a.m. ET\, via Zoom (Meeting ID:94181215786)\nWednesdays\, 1:30-3 p.m. ET\, via Zoom (Meeting ID: 98659357324) UID:117253-21865849@events.umich.edu URL:https://events.umich.edu/event/117253 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION: CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250916T171246 DTSTART;TZID=America/Detroit:20250923T160000 DTEND;TZID=America/Detroit:20250923T173000 SUMMARY:Lecture / Discussion:Data and the Federal Government: A Conversation with Erie Meyer DESCRIPTION:In this talk and meet-and-greet\, Erie Meyer will be discussing the role of data in the Federal Government. She will be sharing insights from her own career: as the chief technologist at the Consumer Financial Protection Bureau (CFPB) and the Federal Trade Commission (FTC)\, and as co-founder of the United States Digital Service (USDS\, now renamed \"DOGE'\"). This event will be open to the UM community\, including faculty\, students\, and postdocs.\n\nBiography\n\nErie Meyer is a Senior Fellow at the Vanderbilt Policy Accelerator and the Georgetown Institute for Tech and Society where she focuses on the intersection of technology\, artificial intelligence\, and regulation. She has spent her career modernizing government services and working to enforce the law against corporate repeat offenders. \n\nMost recently\, she served as Chief Technologist and Senior Advisor to the Director of the Consumer Financial Protection Bureau (CFPB)\, where she helped lead efforts to address Big Tech’s lurch into financial services\, and was part of the original team that launched the agency. There\, she helped set up the consumer complaint system and release open data. Before returning to the CFPB\, Ms. Meyer served as Chief Technologist and Director of Policy Planning for FTC Chair Lina Khan\, and was Technology Advisor to then-Commissioner Rohit Chopra. \n\nShe also co-founded and wrote the first line of code at the U.S. Digital Service at the White House. Earlier\, she was a Senior Advisor to the U.S. Chief Technology Officer in the White House\, a Senior Director at Code for America\, and a Shorenstein Fellow at Harvard Kennedy School. Ms. Meyer began her public service in the Ohio Attorney General’s Office during the financial crisis\, building open-source tools to help protect Ohioans' consumer rights. She holds a B.A. in journalism and government from American University and is a contributor to open source software. She is the 2025 recipient of the EFF Award for Protecting Americans' Data\, and a proud mom. UID:139387-21885376@events.umich.edu URL:https://events.umich.edu/event/139387 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:data LOCATION:Michigan League - Hussey Room CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250102T120705 DTSTART;TZID=America/Detroit:20250924T133000 DTEND;TZID=America/Detroit:20250924T150000 SUMMARY:Workshop / Seminar:CoderSpaces - Wednesday DESCRIPTION:Are you grappling with a piece of code\, trying to compute on a cluster\, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\n\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\n\nTuesdays\, 9:30-11 a.m. ET\, via Zoom (Meeting ID:94181215786)\nWednesdays\, 1:30-3 p.m. ET\, via Zoom (Meeting ID: 98659357324) UID:117252-21865902@events.umich.edu URL:https://events.umich.edu/event/117252 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260219T090150 DTSTART;TZID=America/Detroit:20250924T150000 DTEND;TZID=America/Detroit:20250924T190000 SUMMARY:Other:Business+Tech Innovation Jam Design Jam DESCRIPTION:Multidisciplinary Design Jams are short-term learning experiences during which students from U-M respond to real-world\, societal and industry challenges. This Design Jam focuses on helping students generate ideas that can be entered into the +Tech Innovation Jam competition. UID:145718-21897729@events.umich.edu URL:https://events.umich.edu/event/145718 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Leinweber LCSIB - LCSIB 4320 (Dow Room) CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250829T130523 DTSTART;TZID=America/Detroit:20250926T120000 DTEND;TZID=America/Detroit:20250926T133000 SUMMARY:Lecture / Discussion:The Effect of a Monthly Unconditional Cash Transfer on Families and Children’s Development through Age 4: Findings from the Baby’s First Years Study DESCRIPTION:The Effect of a Monthly Unconditional Cash Transfer on Families and Children’s Development through Age 4: Findings from the Baby’s First Years Study\nKatherine Magnuson\, Director\, Institute for Research on Poverty\; Professor\, University of Wisconsin–Madison School of Social Work\nFriday\, September 26\, noon ET\nSSW ECC 1840\n\nThe Real-World Perspectives on Poverty Solutions speaker series introduces key issues regarding the causes and consequences of poverty through an in-person and virtual lecture series featuring experts in policy and practice from across the nation. Our goal is to help build a broad community of learners to engage in these issues together.\n\nThis series is free and open to the public as well as being a one-credit course for U-M students (SWK 503\, Course #25751). In-person talks include coffee\, cookies\, and the chance to ask the speakers questions or watch the livestream on YouTube. UID:138510-21883148@events.umich.edu URL:https://events.umich.edu/event/138510 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:School of Social Work Building - ECC 1840 CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250513T122307 DTSTART;TZID=America/Detroit:20250930T093000 DTEND;TZID=America/Detroit:20250930T110000 SUMMARY:Workshop / Seminar:CoderSpaces - Tuesdays DESCRIPTION:Are you grappling with a piece of code\, trying to compute on a cluster\, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\n\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\n\nTuesdays\, 9:30-11 a.m. ET\, via Zoom (Meeting ID:94181215786)\nWednesdays\, 1:30-3 p.m. ET\, via Zoom (Meeting ID: 98659357324) UID:117253-21865850@events.umich.edu URL:https://events.umich.edu/event/117253 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION: CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250909T120035 DTSTART;TZID=America/Detroit:20250930T130000 DTEND;TZID=America/Detroit:20250930T140000 SUMMARY:Workshop / Seminar:SRC Seminar Series Presents: Developing a Modern and Standardized Data Quality Profile for SRC Surveys DESCRIPTION:Tuesday\, September 30\, 2025\n1:00-2:00pm ET\n\n1430BD ISR-Thompson\n426 Thompson St.\n\nOr via zoom:\nMeeting ID: 913 3699 9447\nPasscode: 878303\n\nABSTRACT: As part of the wider SRC Future of Surveys initiative\, the committee on response rates vs. data quality has collectively identified what it believes to be the essential elements of a modern\, standardized SRC report on the quality of the data produced by a given survey (a “quality profile”). This presentation will review the essential components of this quality profile identified by the committee\, giving background on each and discussing the feasibility of producing these components for individual SRC projects and programs. The committee aims to use this presentation to invite a broader set of feedback from SRC faculty\, staff\, and affiliates on these components\, as part of a dedicated effort to move toward the standardized preparation and dissemination of these quality profiles for all SRC data collection projects.\n\nBrady T. West is a Research Professor in the Survey Methodology Program and the Department of Biostatistics. His current research interests include selection bias in surveys\, the implications of measurement error in auxiliary variables and survey paradata for survey estimation\, responsive and/or adaptive survey design\, interviewer effects\, and multilevel regression models for clustered and longitudinal data. An author of more than 230 peer-reviewed journal articles in survey methodology\, applied statistics\, and public health\, he is also the lead author of two books that are now in their third editions\, one of which compares different statistical software packages in terms of their mixed-effects modeling procedures (Linear Mixed Models: A Practical Guide using Statistical Software\, Third Edition\, Chapman Hall/CRC Press\, 2022)\, and a second titled Applied Survey Data Analysis\, Third Edition (with Steven Heeringa and Pat Berglund) that provides a comprehensive overview of practical analysis strategies for data arising from complex sample surveys. He was elected as a Fellow of the American Statistical Association in 2022.\n\nJames Wagner is a Research Professor in the Survey Methodology Program. He has worked on surveys for over 25 years and has extensive experience with sample design. In addition to sample design\, Wagner’s research interests include adaptive survey design to address potential nonresponse biases and indicators of survey data quality. He recently served as interim director of SRC. UID:138330-21882780@events.umich.edu URL:https://events.umich.edu/event/138330 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Institute For Social Research - 1430BD ISR Thompson CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250924T145503 DTSTART;TZID=America/Detroit:20251001T120000 DTEND;TZID=America/Detroit:20251001T130000 SUMMARY:Lecture / Discussion:MPSDS JPSM Seminar Series - Balancing Theory with Practice: How to Develop Successful Industry Research Practitioners DESCRIPTION:MPSDS JPSM Seminar Series\nMPSDS M3 Series\n\nIn person\, room 1070\, Institute for Social Research and via Zoom.\nThe Zoom call will be locked 10 minutes after the start of the presentation. \n\nWhile industry researchers need practical skills\, survey training often involves a balance of theory and practice. Training that focuses too heavily on practical applications may skip over foundational concepts\, such as sampling theory\, error reduction\, or bias minimization. Without these foundations\, researchers might design surveys that overlook important methodological considerations\, potentially compromising data quality in ways that negatively affect insights and decision-making. At the same time\, strong training programs often teach sophisticated survey methods (e.g.\, stratified sampling\, regression analysis\, psychometric scaling) that are used in academic or governmental research\, but are impractical or overly complex in most industry contexts without adaptation to the time and cost constraints often present. A middle ground of training is often missing--one that trains researchers on how to adapt or simplify these more complex methodologies for practical use in the real world and how to make them accessible without sacrificing quality. The presenter will discuss the holes often seen in hiring trained survey researchers and the complimentary development that is necessary to bring them up to speed to be successful industry practitioners.\n\nCurtiss Cobb is a Vice President of Research at Meta where he leads the Demography and Survey Science Team\, a quantitative focused research team that works across Meta to identify and share best practices and methodological innovations in demographic and survey research. His team oversees the collection of millions of survey responses a day from around the world using mobile\, web\, face-to-face and other methods. Prior to Meta\, Curtiss was a senior director of survey methodology at GfK and has independently served on advisory panels or consulted for the U.S. State Department\, CDC\, Associated Press\, World Health Organization\, OECD and various academic studies. He holds a PhD in Sociology from Stanford University. UID:139374-21885347@events.umich.edu URL:https://events.umich.edu/event/139374 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Institute For Social Research - Room 1070, Institute for Social Research CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250102T120705 DTSTART;TZID=America/Detroit:20251001T133000 DTEND;TZID=America/Detroit:20251001T150000 SUMMARY:Workshop / Seminar:CoderSpaces - Wednesday DESCRIPTION:Are you grappling with a piece of code\, trying to compute on a cluster\, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\n\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\n\nTuesdays\, 9:30-11 a.m. ET\, via Zoom (Meeting ID:94181215786)\nWednesdays\, 1:30-3 p.m. ET\, via Zoom (Meeting ID: 98659357324) UID:117252-21865903@events.umich.edu URL:https://events.umich.edu/event/117252 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250513T122307 DTSTART;TZID=America/Detroit:20251007T093000 DTEND;TZID=America/Detroit:20251007T110000 SUMMARY:Workshop / Seminar:CoderSpaces - Tuesdays DESCRIPTION:Are you grappling with a piece of code\, trying to compute on a cluster\, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\n\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\n\nTuesdays\, 9:30-11 a.m. ET\, via Zoom (Meeting ID:94181215786)\nWednesdays\, 1:30-3 p.m. ET\, via Zoom (Meeting ID: 98659357324) UID:117253-21865851@events.umich.edu URL:https://events.umich.edu/event/117253 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION: CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250102T120705 DTSTART;TZID=America/Detroit:20251008T133000 DTEND;TZID=America/Detroit:20251008T150000 SUMMARY:Workshop / Seminar:CoderSpaces - Wednesday DESCRIPTION:Are you grappling with a piece of code\, trying to compute on a cluster\, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\n\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\n\nTuesdays\, 9:30-11 a.m. ET\, via Zoom (Meeting ID:94181215786)\nWednesdays\, 1:30-3 p.m. ET\, via Zoom (Meeting ID: 98659357324) UID:117252-21865904@events.umich.edu URL:https://events.umich.edu/event/117252 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250513T122307 DTSTART;TZID=America/Detroit:20251014T093000 DTEND;TZID=America/Detroit:20251014T110000 SUMMARY:Workshop / Seminar:CoderSpaces - Tuesdays DESCRIPTION:Are you grappling with a piece of code\, trying to compute on a cluster\, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\n\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\n\nTuesdays\, 9:30-11 a.m. ET\, via Zoom (Meeting ID:94181215786)\nWednesdays\, 1:30-3 p.m. ET\, via Zoom (Meeting ID: 98659357324) UID:117253-21865852@events.umich.edu URL:https://events.umich.edu/event/117253 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION: CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250102T120705 DTSTART;TZID=America/Detroit:20251015T133000 DTEND;TZID=America/Detroit:20251015T150000 SUMMARY:Workshop / Seminar:CoderSpaces - Wednesday DESCRIPTION:Are you grappling with a piece of code\, trying to compute on a cluster\, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\n\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\n\nTuesdays\, 9:30-11 a.m. ET\, via Zoom (Meeting ID:94181215786)\nWednesdays\, 1:30-3 p.m. ET\, via Zoom (Meeting ID: 98659357324) UID:117252-21865905@events.umich.edu URL:https://events.umich.edu/event/117252 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250513T122307 DTSTART;TZID=America/Detroit:20251021T093000 DTEND;TZID=America/Detroit:20251021T110000 SUMMARY:Workshop / Seminar:CoderSpaces - Tuesdays DESCRIPTION:Are you grappling with a piece of code\, trying to compute on a cluster\, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\n\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\n\nTuesdays\, 9:30-11 a.m. ET\, via Zoom (Meeting ID:94181215786)\nWednesdays\, 1:30-3 p.m. ET\, via Zoom (Meeting ID: 98659357324) UID:117253-21865853@events.umich.edu URL:https://events.umich.edu/event/117253 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION: CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250102T120705 DTSTART;TZID=America/Detroit:20251022T133000 DTEND;TZID=America/Detroit:20251022T150000 SUMMARY:Workshop / Seminar:CoderSpaces - Wednesday DESCRIPTION:Are you grappling with a piece of code\, trying to compute on a cluster\, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\n\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\n\nTuesdays\, 9:30-11 a.m. ET\, via Zoom (Meeting ID:94181215786)\nWednesdays\, 1:30-3 p.m. ET\, via Zoom (Meeting ID: 98659357324) UID:117252-21865906@events.umich.edu URL:https://events.umich.edu/event/117252 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250513T122307 DTSTART;TZID=America/Detroit:20251028T093000 DTEND;TZID=America/Detroit:20251028T110000 SUMMARY:Workshop / Seminar:CoderSpaces - Tuesdays DESCRIPTION:Are you grappling with a piece of code\, trying to compute on a cluster\, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\n\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\n\nTuesdays\, 9:30-11 a.m. ET\, via Zoom (Meeting ID:94181215786)\nWednesdays\, 1:30-3 p.m. ET\, via Zoom (Meeting ID: 98659357324) UID:117253-21865854@events.umich.edu URL:https://events.umich.edu/event/117253 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION: CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250102T120705 DTSTART;TZID=America/Detroit:20251029T133000 DTEND;TZID=America/Detroit:20251029T150000 SUMMARY:Workshop / Seminar:CoderSpaces - Wednesday DESCRIPTION:Are you grappling with a piece of code\, trying to compute on a cluster\, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\n\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\n\nTuesdays\, 9:30-11 a.m. ET\, via Zoom (Meeting ID:94181215786)\nWednesdays\, 1:30-3 p.m. ET\, via Zoom (Meeting ID: 98659357324) UID:117252-21865907@events.umich.edu URL:https://events.umich.edu/event/117252 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20251002T181753 DTSTART;TZID=America/Detroit:20251030T100000 DTEND;TZID=America/Detroit:20251030T120000 SUMMARY:Workshop / Seminar:Creating an NIH Data Management and Sharing Plan with ICPSR DESCRIPTION:Are you preparing a renewal\, resubmission\, or upcoming NIH grant application? Join ICPSR for a practical virtual workshop designed to help you navigate the requirements of the NIH’s Data Management and Sharing (DMS) Policy. \n\nThis interactive session will guide you through the essential components of creating an effective DMS Plan and highlight the value of transparent data sharing. You’ll gain insights into the NIH’s data sharing policies\, learn how to de-identify and prepare both restricted- and public-use datafiles\, and discover ICPSR’s many resources to support your research\, whether you work with qualitative or quantitative data.\n\nBy participating\, you will: \n-Understand NIH data sharing policies and the benefits of making data available \n-Learn what information must be included in each of the NIH DMS Plan elements \n-Explore best practices for de-identifying data and preparing datasets for sharing \n-Learn how ICPSR can help you meet NIH data sharing requirements UID:140245-21886813@events.umich.edu URL:https://events.umich.edu/event/140245 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250513T122307 DTSTART;TZID=America/Detroit:20251104T093000 DTEND;TZID=America/Detroit:20251104T110000 SUMMARY:Workshop / Seminar:CoderSpaces - Tuesdays DESCRIPTION:Are you grappling with a piece of code\, trying to compute on a cluster\, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\n\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\n\nTuesdays\, 9:30-11 a.m. ET\, via Zoom (Meeting ID:94181215786)\nWednesdays\, 1:30-3 p.m. ET\, via Zoom (Meeting ID: 98659357324) UID:117253-21865855@events.umich.edu URL:https://events.umich.edu/event/117253 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION: CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250102T120705 DTSTART;TZID=America/Detroit:20251105T133000 DTEND;TZID=America/Detroit:20251105T150000 SUMMARY:Workshop / Seminar:CoderSpaces - Wednesday DESCRIPTION:Are you grappling with a piece of code\, trying to compute on a cluster\, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\n\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\n\nTuesdays\, 9:30-11 a.m. ET\, via Zoom (Meeting ID:94181215786)\nWednesdays\, 1:30-3 p.m. ET\, via Zoom (Meeting ID: 98659357324) UID:117252-21865908@events.umich.edu URL:https://events.umich.edu/event/117252 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20251106T112135 DTSTART;TZID=America/Detroit:20251107T120000 DTEND;TZID=America/Detroit:20251107T133000 SUMMARY:Lecture / Discussion:500 Fridays: The UX of Data (A2D2 Talk) DESCRIPTION:Presentation Summary:\nThis presentation explores how user experience (UX) principles can transform how people understand and interact with data. It emphasizes the growing need to make complex datasets not just accessible\, but meaningful\, especially in academic and research settings. Using real-world examples and design frameworks\, the session outlines how intentional UX design can elevate dashboards\, reports\, and research tools. The goal? To empower UofM teams to turn raw data into actionable insights that actually drive decisions.\n\nChip LaFleur Bio:\nChip LaFleur is the founder and CEO of LaFleur Marketing\, a digital agency specializing in data-informed strategy\, content\, and design for clients in complex and highly regulated industries. With over 25 years of experience in digital marketing\, web development\, and team leadership\, Chip is known for translating complex ideas into actionable\, high-impact strategies. He is the author of Digital Marketing for Law Firms and a frequent speaker on topics including data-driven marketing\, analytics storytelling\, and performance measurement in the legal sector. In 2024\, LaFleur launched Clearboard\, a groundbreaking AI-powered analytics platform that helps organizations optimize their marketing investments. Chip also hosts the Legal Marketing Radio podcast and is passionate about helping businesses build smarter\, more intentional connections with their audiences.\n\nPlease let me know if there is anything else needed at this point! Thanks and have a great week!\n\nNote - the room has changed to 2290 UID:141579-21889037@events.umich.edu URL:https://events.umich.edu/event/141579 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Leinweber LCSIB - 2290 CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20251105T122920 DTSTART;TZID=America/Detroit:20251108T090000 DTEND;TZID=America/Detroit:20251108T170000 SUMMARY:Workshop / Seminar:A2 Data Dive: Campaign Finance Transparency in Michigan DESCRIPTION:A2 Data Dive: Campaign Finance Transparency in Michigan\nRegister for the annual A2 Data Dive\, hosted by the University of Michigan School of Information (UMSI)! This one-day event invites students\, data enthusiasts\, and community members to work side-by-side and analyze real-world data for meaningful impact\, no matter your experience level. This year\, in partnership with the Michigan Department of State\, participants will dive into campaign finance disclosure data to uncover important trends and insights in Michigan politics.\n\nWhy Campaign Finance Data?\nWho funds politics\, and why does it matter? Campaign finance data tracks who gives money to candidates\, how that money is spent\, and how it can potentially influence election outcomes. But often\, that data can be difficult to access or understand. At this event\, participants will dive into real campaign finance disclosure data\, explore the patterns of money and influence in Michigan elections\, and develop solutions that make this information more transparent and usable. By turning complex data into insight\, participants will walk away more informed and help communities be empowered through data access\, data transparency\, and a stronger democracy\, all while putting their skills to work for the public good.\n\nAbout A2 Data Dive\nParticipants of all skill levels are welcome at the A2 Data Dive and preceding events. Whether participants are looking to enhance their data skills or contribute to community impact\, A2 Data Dive offers a welcoming environment to analyze and democratize data\, connect with others\, and make a difference.\n\nTo learn about past Data Dives\, please visit the A2 Data Dive website. For any questions\, please email umsi.engagement@umich.edu. UID:140559-21887344@events.umich.edu URL:https://events.umich.edu/event/140559 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Leinweber LCSIB - 1st Floor CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250513T122307 DTSTART;TZID=America/Detroit:20251111T093000 DTEND;TZID=America/Detroit:20251111T110000 SUMMARY:Workshop / Seminar:CoderSpaces - Tuesdays DESCRIPTION:Are you grappling with a piece of code\, trying to compute on a cluster\, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\n\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\n\nTuesdays\, 9:30-11 a.m. ET\, via Zoom (Meeting ID:94181215786)\nWednesdays\, 1:30-3 p.m. ET\, via Zoom (Meeting ID: 98659357324) UID:117253-21865856@events.umich.edu URL:https://events.umich.edu/event/117253 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION: CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260107T161837 DTSTART;TZID=America/Detroit:20251112T120000 DTEND;TZID=America/Detroit:20251112T130000 SUMMARY:Lecture / Discussion:MPSDS / JPSM Seminar Series: Achieving Fairness in AI with Synthetic Data DESCRIPTION:MPSDS / JPSM Seminar Series\nMPSDS M3 Series: Mastery\, Methodology\, Meetups\n\nIn person\, room 1070\, Institute for Social Research and via Zoom. \nThe Zoom call be be locked 10 minutes after the start of the presentation. \nPlease note that many of the links have changed.\n\nAchieving Fairness in AI with Synthetic Data\nArtificial intelligence and machine learning increasingly inform decisions in hiring\, lending\, healthcare\, and justice. Yet real-world datasets often encode historical bias\, and models trained on them can reproduce or amplify inequities. Pre-processing via fair synthetic data is a promising: if we can generate data that mitigates bias at the source while preserving signal\, downstream models can be both fair and useful. This talk introduces FDA (Fair synthetic data via Data Augmentation)\, a statistically principled framework that makes the fairness–faithfulness trade-off explicit and controllable. FDA jointly models a fair submodel and a faithful submodel\, coupled by a single parameter $\alpha \in [0\,1]$ that quantifies the fraction of bias removed. We prove clear operating points: $\alpha=0$ yields maximal fairness (with larger deviation from the original distribution)\, $\alpha=1$ recovers the original data in probability (hence in distribution)\, and intermediate $\alpha$ values guarantee calibrated compromises with interpretable bounds. Practically\, FDA samples directly from simple predictive distributions\, avoiding heavy black-box training. We further provide theory connecting FDA’s $\alpha$ to fairness of downstream models. Together\, these results deliver a transparent\, efficient\, and deployable path to generating fair synthetic data without sacrificing essential statistical structure.\n\nDr. Bei Jiang is an Associate Professor in the Department of Mathematical and Statistical Sciences at the University of Alberta\, a Fellow of the Alberta Machine Intelligence Institute (Amii)\, and a Canada CIFAR AI Chair. She received her PhD in Biostatistics from the University of Michigan in 2014\, followed by a postdoctoral appointment in the Department of Biostatistics at Columbia University (2014–2015)\, before joining the University of Alberta as an Assistant Professor in 2015. Dr. Jiang has authored more than 50 journal articles—including in the Annals of Statistics\, Journal of the American Statistical Association and the Journal of Machine Learning Research and over 20 peer-reviewed conference papers at venues such as NeurIPS\, ICML\, ICLR\, and AAAI. Her research focuses on Bayesian hierarchical modeling\, statistical learning methods that advance privacy and fairness\, and federated statistical inference. Dr. Jiang has an extensive record of service to the statistical community. She is currently serving on the SSC Equity\, Diversity\, and Inclusion Committee\, the CANSSI Showcase Organizing Committee\, the Committee of the COPSS Presidents’ Award\, and the JSM 2026 Program Committee. She is an Associate Editor for the Journal of the American Statistical Association. Dr. Jiang is the 2025 recipient of the COPSS Emerging Leaders Award\, recognizing early-career statistical scientists whose leadership and scholarship are shaping the field. UID:141461-21888827@events.umich.edu URL:https://events.umich.edu/event/141461 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location - Room 1070, Institute for Social Research CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250102T120705 DTSTART;TZID=America/Detroit:20251112T133000 DTEND;TZID=America/Detroit:20251112T150000 SUMMARY:Workshop / Seminar:CoderSpaces - Wednesday DESCRIPTION:Are you grappling with a piece of code\, trying to compute on a cluster\, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\n\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\n\nTuesdays\, 9:30-11 a.m. ET\, via Zoom (Meeting ID:94181215786)\nWednesdays\, 1:30-3 p.m. ET\, via Zoom (Meeting ID: 98659357324) UID:117252-21865909@events.umich.edu URL:https://events.umich.edu/event/117252 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250513T122307 DTSTART;TZID=America/Detroit:20251118T093000 DTEND;TZID=America/Detroit:20251118T110000 SUMMARY:Workshop / Seminar:CoderSpaces - Tuesdays DESCRIPTION:Are you grappling with a piece of code\, trying to compute on a cluster\, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\n\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\n\nTuesdays\, 9:30-11 a.m. ET\, via Zoom (Meeting ID:94181215786)\nWednesdays\, 1:30-3 p.m. ET\, via Zoom (Meeting ID: 98659357324) UID:117253-21865857@events.umich.edu URL:https://events.umich.edu/event/117253 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION: CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250102T120705 DTSTART;TZID=America/Detroit:20251119T133000 DTEND;TZID=America/Detroit:20251119T150000 SUMMARY:Workshop / Seminar:CoderSpaces - Wednesday DESCRIPTION:Are you grappling with a piece of code\, trying to compute on a cluster\, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\n\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\n\nTuesdays\, 9:30-11 a.m. ET\, via Zoom (Meeting ID:94181215786)\nWednesdays\, 1:30-3 p.m. ET\, via Zoom (Meeting ID: 98659357324) UID:117252-21865910@events.umich.edu URL:https://events.umich.edu/event/117252 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250513T122307 DTSTART;TZID=America/Detroit:20251125T093000 DTEND;TZID=America/Detroit:20251125T110000 SUMMARY:Workshop / Seminar:CoderSpaces - Tuesdays DESCRIPTION:Are you grappling with a piece of code\, trying to compute on a cluster\, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\n\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\n\nTuesdays\, 9:30-11 a.m. ET\, via Zoom (Meeting ID:94181215786)\nWednesdays\, 1:30-3 p.m. ET\, via Zoom (Meeting ID: 98659357324) UID:117253-21865858@events.umich.edu URL:https://events.umich.edu/event/117253 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION: CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20251125T101901 DTSTART;TZID=America/Detroit:20251125T180000 DTEND;TZID=America/Detroit:20251125T190000 SUMMARY:Livestream / Virtual:2025 MPSDS Master's Program Information Session DESCRIPTION:November 25\, 2025\n6:00PM - 7:00PM (EST)\nRegistration Required\n\nThe Michigan Program of Survey and Data Science (MPSDS) trains future generations of survey and data scientists at the intersection of social research and data science. Join us for our virtual information session to learn more about our master's program and the admissions process. \n\nThe Michigan Program in Survey and Data Science curriculum is concerned with a broad set of data sources\, including survey data\, social media posts\, sensor data\, and administrative records\, as well as analytic methods for working with these new data sources. We bring a strong focus on data quality — something often missing in traditional data science programs.\n\nFind out additional information about the program and our admissions process on our website or contact the program at MPSDS.isr@umich.edu. \n\nThis session will be recorded and posted on the department's website following the conclusion of the event. UID:142189-21890190@events.umich.edu URL:https://events.umich.edu/event/142189 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250102T120705 DTSTART;TZID=America/Detroit:20251126T133000 DTEND;TZID=America/Detroit:20251126T150000 SUMMARY:Workshop / Seminar:CoderSpaces - Wednesday DESCRIPTION:Are you grappling with a piece of code\, trying to compute on a cluster\, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\n\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\n\nTuesdays\, 9:30-11 a.m. ET\, via Zoom (Meeting ID:94181215786)\nWednesdays\, 1:30-3 p.m. ET\, via Zoom (Meeting ID: 98659357324) UID:117252-21865911@events.umich.edu URL:https://events.umich.edu/event/117252 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250513T122307 DTSTART;TZID=America/Detroit:20251202T093000 DTEND;TZID=America/Detroit:20251202T110000 SUMMARY:Workshop / Seminar:CoderSpaces - Tuesdays DESCRIPTION:Are you grappling with a piece of code\, trying to compute on a cluster\, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\n\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\n\nTuesdays\, 9:30-11 a.m. ET\, via Zoom (Meeting ID:94181215786)\nWednesdays\, 1:30-3 p.m. ET\, via Zoom (Meeting ID: 98659357324) UID:117253-21865859@events.umich.edu URL:https://events.umich.edu/event/117253 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION: CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20251125T103050 DTSTART;TZID=America/Detroit:20251202T180000 DTEND;TZID=America/Detroit:20251202T190000 SUMMARY:Livestream / Virtual:2025 MPSDS PhD Program Information Session DESCRIPTION:December 2\, 2025\n6:00PM-7:00PM\nRegistration Required\n\nThe Michigan Program of Survey and Data Science (MPSDS) trains future generations of survey and data scientists at the intersection of social research and data science. Join us for our virtual information session to learn more about our master's program and the admissions process.\n\nThe Michigan Program in Survey and Data Science curriculum is concerned with a broad set of data sources\, including survey data\, social media posts\, sensor data\, and administrative records\, as well as analytic methods for working with these new data sources. We bring a strong focus on data quality — something often missing in traditional data science programs.\n\nFind out additional information about the program and our admissions process on our website or contact the program at MPSDS.isr@umich.edu.\n\nThis session will be recorded and posted on the department's website following the conclusion of the event. UID:142192-21890194@events.umich.edu URL:https://events.umich.edu/event/142192 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250102T120705 DTSTART;TZID=America/Detroit:20251203T133000 DTEND;TZID=America/Detroit:20251203T150000 SUMMARY:Workshop / Seminar:CoderSpaces - Wednesday DESCRIPTION:Are you grappling with a piece of code\, trying to compute on a cluster\, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\n\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\n\nTuesdays\, 9:30-11 a.m. ET\, via Zoom (Meeting ID:94181215786)\nWednesdays\, 1:30-3 p.m. ET\, via Zoom (Meeting ID: 98659357324) UID:117252-21865912@events.umich.edu URL:https://events.umich.edu/event/117252 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250611T152053 DTSTART;TZID=America/Detroit:20251208T100000 DTEND;TZID=America/Detroit:20251208T150000 SUMMARY:Class / Instruction:Summer Institute Course - December 2025- Health and Retirement Study (HRS) Workshop DESCRIPTION:December 2025- Health and Retirement Study (HRS) Workshop\nDecember 8-10\, 2025\n10:00am-3:00pm EST\nLive Online via Zoom\n\nThe Health and Retirement Study (hrsonline.isr.umich.edu) Summer Workshop is intended to give participants an introduction to the study that will enable them to use the data for research. HRS is a large-scale longitudinal study with more than 20 years of data on the labor force participation and health transitions that individuals undergo toward the end of their work lives and in the years that follow.\n\nDisability Data in the Health and Retirement Study (HRS) is a 3-day online (Zoom) workshop intended to give participants an overview of the disability data resources in the HRS. Content lectures delivered by HRS co-investigators and content area experts will cover a range of topics including:\n\n● The various ways that disability\, disabling conditions\, health\, and functioning are measured in the HRS\;\n● How measures of disability have changed as the survey has evolved\;\n● How the HRS captures disability benefit receipt in the survey and through and linkage with data from the Social Security Administration\;\n● How disability-related topics like employer accommodations\, assistive technology and personal assistance are measured in the survey.\n\nIn addition to presentations on these topics\, the workshop will feature labs focused on working with work disability measures in Section M and disability spell data in the RAND HRS.\n\nStudents will have the opportunity to present research ideas and receive feedback from the workshop faculty and other students.\n\nThe course is designed for those with experience using HRS data or for those who have taken the introductory HRS workshop. The data training portion assumes some familiarity with STATA.\n\nAmanda Sonnega is a Research Scientist in the Survey Research Center of the Institute for Social Research (ISR) at the University of Michigan (UM)\, where she directs communication\, outreach\, and education efforts for the Health and Retirement Study. She received her Ph.D. through the Department of Health\, Behavior & Society at the Johns Hopkins University and completed a post-doctoral fellowship within the ISR program in Social Environment and Health. She has lectured in the UM School of Public Health\, teaching Psychosocial Factors in Health-related Behavior. Her research focuses on life course trajectories of physical and mental health\; institutional and personal factors associated with vulnerability and resilience in aging individuals\; and work transitions and their broad effects on health and well-being.\n\nThe Summer Institute in Survey Research Techniques provides rigorous and high quality graduate level training in all phases of survey research. The noncredit courses are open to all. The courses are live online via Zoom. Registration and payment are required. Course fees are based on the total number of hours assigned to each course\, the hours are listed on the course description. The 2025 schedule lists additional courses. If you have any questions regarding the application process\, please use the online contact form or email the Summer Institute at isr-summer@umich.edu .\n\nThe program teaches state-of-the-art practice and theory in the design\, implementation\, and analysis of surveys. The Summer Institute in Survey Research Techniques has presented courses on the sample survey since the summer of 1948\, and has offered such courses every summer since. The Summer Institute uses the sample survey as the basic instrument for the scientific measurement of human activity. It presents sample survey methods in courses designed to meet the educational needs of those specializing in social and behavioral research such as professionals in business\, public health\, natural resources\, law\, medicine\, nursing\, social work\, and many other domains of study. UID:136088-21877833@events.umich.edu URL:https://events.umich.edu/event/136088 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250513T122307 DTSTART;TZID=America/Detroit:20251209T093000 DTEND;TZID=America/Detroit:20251209T110000 SUMMARY:Workshop / Seminar:CoderSpaces - Tuesdays DESCRIPTION:Are you grappling with a piece of code\, trying to compute on a cluster\, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\n\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\n\nTuesdays\, 9:30-11 a.m. ET\, via Zoom (Meeting ID:94181215786)\nWednesdays\, 1:30-3 p.m. ET\, via Zoom (Meeting ID: 98659357324) UID:117253-21865860@events.umich.edu URL:https://events.umich.edu/event/117253 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION: CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250611T152053 DTSTART;TZID=America/Detroit:20251209T100000 DTEND;TZID=America/Detroit:20251209T150000 SUMMARY:Class / Instruction:Summer Institute Course - December 2025- Health and Retirement Study (HRS) Workshop DESCRIPTION:December 2025- Health and Retirement Study (HRS) Workshop\nDecember 8-10\, 2025\n10:00am-3:00pm EST\nLive Online via Zoom\n\nThe Health and Retirement Study (hrsonline.isr.umich.edu) Summer Workshop is intended to give participants an introduction to the study that will enable them to use the data for research. HRS is a large-scale longitudinal study with more than 20 years of data on the labor force participation and health transitions that individuals undergo toward the end of their work lives and in the years that follow.\n\nDisability Data in the Health and Retirement Study (HRS) is a 3-day online (Zoom) workshop intended to give participants an overview of the disability data resources in the HRS. Content lectures delivered by HRS co-investigators and content area experts will cover a range of topics including:\n\n● The various ways that disability\, disabling conditions\, health\, and functioning are measured in the HRS\;\n● How measures of disability have changed as the survey has evolved\;\n● How the HRS captures disability benefit receipt in the survey and through and linkage with data from the Social Security Administration\;\n● How disability-related topics like employer accommodations\, assistive technology and personal assistance are measured in the survey.\n\nIn addition to presentations on these topics\, the workshop will feature labs focused on working with work disability measures in Section M and disability spell data in the RAND HRS.\n\nStudents will have the opportunity to present research ideas and receive feedback from the workshop faculty and other students.\n\nThe course is designed for those with experience using HRS data or for those who have taken the introductory HRS workshop. The data training portion assumes some familiarity with STATA.\n\nAmanda Sonnega is a Research Scientist in the Survey Research Center of the Institute for Social Research (ISR) at the University of Michigan (UM)\, where she directs communication\, outreach\, and education efforts for the Health and Retirement Study. She received her Ph.D. through the Department of Health\, Behavior & Society at the Johns Hopkins University and completed a post-doctoral fellowship within the ISR program in Social Environment and Health. She has lectured in the UM School of Public Health\, teaching Psychosocial Factors in Health-related Behavior. Her research focuses on life course trajectories of physical and mental health\; institutional and personal factors associated with vulnerability and resilience in aging individuals\; and work transitions and their broad effects on health and well-being.\n\nThe Summer Institute in Survey Research Techniques provides rigorous and high quality graduate level training in all phases of survey research. The noncredit courses are open to all. The courses are live online via Zoom. Registration and payment are required. Course fees are based on the total number of hours assigned to each course\, the hours are listed on the course description. The 2025 schedule lists additional courses. If you have any questions regarding the application process\, please use the online contact form or email the Summer Institute at isr-summer@umich.edu .\n\nThe program teaches state-of-the-art practice and theory in the design\, implementation\, and analysis of surveys. The Summer Institute in Survey Research Techniques has presented courses on the sample survey since the summer of 1948\, and has offered such courses every summer since. The Summer Institute uses the sample survey as the basic instrument for the scientific measurement of human activity. It presents sample survey methods in courses designed to meet the educational needs of those specializing in social and behavioral research such as professionals in business\, public health\, natural resources\, law\, medicine\, nursing\, social work\, and many other domains of study. UID:136088-21877834@events.umich.edu URL:https://events.umich.edu/event/136088 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20251121T102009 DTSTART;TZID=America/Detroit:20251209T103000 DTEND;TZID=America/Detroit:20251209T120000 SUMMARY:Lecture / Discussion:Theorizing Success in an Unfair Job Market DESCRIPTION:Join the Stone Center for Inequality Dynamics as we host Maggie Frye\, Associate Professor of Sociology at U-M. Frye uses both qualitative and quantitative methods to investigate how shared cultural ideals and expectations shape outcomes during young adulthood\, with a particular focus on family formation and schooling. Most of Frye’s research has focused on sub-Saharan Africa\, with several projects in Malawi and Uganda as well as a number of studies that use data from dozens of African countries to learn about how unequally distributed educational opportunities shape cultural norms and behaviors. Frye recently completed a longitudinal data collection project in Kampala\, Uganda\, examining changing understandings of status resulting from Uganda’s simultaneous expansion of university education and contraction of formal employment opportunities. UID:142103-21890009@events.umich.edu URL:https://events.umich.edu/event/142103 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Institute For Social Research - 1430 BD CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250611T152053 DTSTART;TZID=America/Detroit:20251210T100000 DTEND;TZID=America/Detroit:20251210T150000 SUMMARY:Class / Instruction:Summer Institute Course - December 2025- Health and Retirement Study (HRS) Workshop DESCRIPTION:December 2025- Health and Retirement Study (HRS) Workshop\nDecember 8-10\, 2025\n10:00am-3:00pm EST\nLive Online via Zoom\n\nThe Health and Retirement Study (hrsonline.isr.umich.edu) Summer Workshop is intended to give participants an introduction to the study that will enable them to use the data for research. HRS is a large-scale longitudinal study with more than 20 years of data on the labor force participation and health transitions that individuals undergo toward the end of their work lives and in the years that follow.\n\nDisability Data in the Health and Retirement Study (HRS) is a 3-day online (Zoom) workshop intended to give participants an overview of the disability data resources in the HRS. Content lectures delivered by HRS co-investigators and content area experts will cover a range of topics including:\n\n● The various ways that disability\, disabling conditions\, health\, and functioning are measured in the HRS\;\n● How measures of disability have changed as the survey has evolved\;\n● How the HRS captures disability benefit receipt in the survey and through and linkage with data from the Social Security Administration\;\n● How disability-related topics like employer accommodations\, assistive technology and personal assistance are measured in the survey.\n\nIn addition to presentations on these topics\, the workshop will feature labs focused on working with work disability measures in Section M and disability spell data in the RAND HRS.\n\nStudents will have the opportunity to present research ideas and receive feedback from the workshop faculty and other students.\n\nThe course is designed for those with experience using HRS data or for those who have taken the introductory HRS workshop. The data training portion assumes some familiarity with STATA.\n\nAmanda Sonnega is a Research Scientist in the Survey Research Center of the Institute for Social Research (ISR) at the University of Michigan (UM)\, where she directs communication\, outreach\, and education efforts for the Health and Retirement Study. She received her Ph.D. through the Department of Health\, Behavior & Society at the Johns Hopkins University and completed a post-doctoral fellowship within the ISR program in Social Environment and Health. She has lectured in the UM School of Public Health\, teaching Psychosocial Factors in Health-related Behavior. Her research focuses on life course trajectories of physical and mental health\; institutional and personal factors associated with vulnerability and resilience in aging individuals\; and work transitions and their broad effects on health and well-being.\n\nThe Summer Institute in Survey Research Techniques provides rigorous and high quality graduate level training in all phases of survey research. The noncredit courses are open to all. The courses are live online via Zoom. Registration and payment are required. Course fees are based on the total number of hours assigned to each course\, the hours are listed on the course description. The 2025 schedule lists additional courses. If you have any questions regarding the application process\, please use the online contact form or email the Summer Institute at isr-summer@umich.edu .\n\nThe program teaches state-of-the-art practice and theory in the design\, implementation\, and analysis of surveys. The Summer Institute in Survey Research Techniques has presented courses on the sample survey since the summer of 1948\, and has offered such courses every summer since. The Summer Institute uses the sample survey as the basic instrument for the scientific measurement of human activity. It presents sample survey methods in courses designed to meet the educational needs of those specializing in social and behavioral research such as professionals in business\, public health\, natural resources\, law\, medicine\, nursing\, social work\, and many other domains of study. UID:136088-21877835@events.umich.edu URL:https://events.umich.edu/event/136088 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250102T120705 DTSTART;TZID=America/Detroit:20251210T133000 DTEND;TZID=America/Detroit:20251210T150000 SUMMARY:Workshop / Seminar:CoderSpaces - Wednesday DESCRIPTION:Are you grappling with a piece of code\, trying to compute on a cluster\, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\n\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\n\nTuesdays\, 9:30-11 a.m. ET\, via Zoom (Meeting ID:94181215786)\nWednesdays\, 1:30-3 p.m. ET\, via Zoom (Meeting ID: 98659357324) UID:117252-21865913@events.umich.edu URL:https://events.umich.edu/event/117252 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250513T122307 DTSTART;TZID=America/Detroit:20251216T093000 DTEND;TZID=America/Detroit:20251216T110000 SUMMARY:Workshop / Seminar:CoderSpaces - Tuesdays DESCRIPTION:Are you grappling with a piece of code\, trying to compute on a cluster\, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\n\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\n\nTuesdays\, 9:30-11 a.m. ET\, via Zoom (Meeting ID:94181215786)\nWednesdays\, 1:30-3 p.m. ET\, via Zoom (Meeting ID: 98659357324) UID:117253-21865861@events.umich.edu URL:https://events.umich.edu/event/117253 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION: CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20251125T103618 DTSTART;TZID=America/Detroit:20251217T080000 DTEND;TZID=America/Detroit:20251217T210000 SUMMARY:Livestream / Virtual:2025 MPSDS Master's Program Information Session DESCRIPTION:December 17\, 2025\n8:00AM - 9:00AM (EST)\nRegistration Required\n\nThe Michigan Program of Survey and Data Science (MPSDS) trains future generations of survey and data scientists at the intersection of social research and data science. Join us for our virtual information session to learn more about our master's program and the admissions process.\n\nThe Michigan Program in Survey and Data Science curriculum is concerned with a broad set of data sources\, including survey data\, social media posts\, sensor data\, and administrative records\, as well as analytic methods for working with these new data sources. We bring a strong focus on data quality — something often missing in traditional data science programs.\n\nFind out additional information about the program and our admissions process on our website or contact the program at MPSDS.isr@umich.edu.\n\nThis session will be recorded and posted on the department's website following the conclusion of the event. UID:142190-21890191@events.umich.edu URL:https://events.umich.edu/event/142190 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250102T120705 DTSTART;TZID=America/Detroit:20251217T133000 DTEND;TZID=America/Detroit:20251217T150000 SUMMARY:Workshop / Seminar:CoderSpaces - Wednesday DESCRIPTION:Are you grappling with a piece of code\, trying to compute on a cluster\, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\n\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\n\nTuesdays\, 9:30-11 a.m. ET\, via Zoom (Meeting ID:94181215786)\nWednesdays\, 1:30-3 p.m. ET\, via Zoom (Meeting ID: 98659357324) UID:117252-21865914@events.umich.edu URL:https://events.umich.edu/event/117252 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250513T122307 DTSTART;TZID=America/Detroit:20251223T093000 DTEND;TZID=America/Detroit:20251223T110000 SUMMARY:Workshop / Seminar:CoderSpaces - Tuesdays DESCRIPTION:Are you grappling with a piece of code\, trying to compute on a cluster\, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\n\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\n\nTuesdays\, 9:30-11 a.m. ET\, via Zoom (Meeting ID:94181215786)\nWednesdays\, 1:30-3 p.m. ET\, via Zoom (Meeting ID: 98659357324) UID:117253-21865862@events.umich.edu URL:https://events.umich.edu/event/117253 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION: CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250102T120705 DTSTART;TZID=America/Detroit:20251224T133000 DTEND;TZID=America/Detroit:20251224T150000 SUMMARY:Workshop / Seminar:CoderSpaces - Wednesday DESCRIPTION:Are you grappling with a piece of code\, trying to compute on a cluster\, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\n\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\n\nTuesdays\, 9:30-11 a.m. ET\, via Zoom (Meeting ID:94181215786)\nWednesdays\, 1:30-3 p.m. ET\, via Zoom (Meeting ID: 98659357324) UID:117252-21865915@events.umich.edu URL:https://events.umich.edu/event/117252 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250513T122307 DTSTART;TZID=America/Detroit:20251230T093000 DTEND;TZID=America/Detroit:20251230T110000 SUMMARY:Workshop / Seminar:CoderSpaces - Tuesdays DESCRIPTION:Are you grappling with a piece of code\, trying to compute on a cluster\, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\n\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\n\nTuesdays\, 9:30-11 a.m. ET\, via Zoom (Meeting ID:94181215786)\nWednesdays\, 1:30-3 p.m. ET\, via Zoom (Meeting ID: 98659357324) UID:117253-21865863@events.umich.edu URL:https://events.umich.edu/event/117253 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION: CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250102T120705 DTSTART;TZID=America/Detroit:20251231T133000 DTEND;TZID=America/Detroit:20251231T150000 SUMMARY:Workshop / Seminar:CoderSpaces - Wednesday DESCRIPTION:Are you grappling with a piece of code\, trying to compute on a cluster\, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\n\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\n\nTuesdays\, 9:30-11 a.m. ET\, via Zoom (Meeting ID:94181215786)\nWednesdays\, 1:30-3 p.m. ET\, via Zoom (Meeting ID: 98659357324) UID:117252-21865916@events.umich.edu URL:https://events.umich.edu/event/117252 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250513T122307 DTSTART;TZID=America/Detroit:20260106T093000 DTEND;TZID=America/Detroit:20260106T110000 SUMMARY:Workshop / Seminar:CoderSpaces - Tuesdays DESCRIPTION:Are you grappling with a piece of code\, trying to compute on a cluster\, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\n\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\n\nTuesdays\, 9:30-11 a.m. ET\, via Zoom (Meeting ID:94181215786)\nWednesdays\, 1:30-3 p.m. ET\, via Zoom (Meeting ID: 98659357324) UID:117253-21865864@events.umich.edu URL:https://events.umich.edu/event/117253 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION: CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20251204T170135 DTSTART;TZID=America/Detroit:20260106T130000 DTEND;TZID=America/Detroit:20260106T140000 SUMMARY:Lecture / Discussion:SRC Seminar Series Presents: Population-level administrative data: A resource for health and aging research DESCRIPTION:On Zoom:\nMeeting ID: 922 0043 4022\nPasscode: 563977\n\nAbstract\nPopulation-level administrative data — data on individuals’ interactions with administrative systems\, such as healthcare\, social welfare\, and education systems —provide unique advantages for research on health and aging. In this talk\, Dr. Richmond-Rakerd will (a) review salient features of population-level administrative data\, drawing on the New Zealand Integrated Data Infrastructure as a case example\; and (b) highlight advantages of these data for health and aging research\, with examples from her team’s own work. She will also discuss ethical issues and methodological considerations and limitations in population administrative data research.\n\nBiography\nLeah Richmond-Rakerd is an Assistant Professor of Psychology at the University of Michigan. Her research centers on the development of problems in self-regulation\, such as antisocial behavior\, substance misuse\, and self-harm\, as well as the implications of self-regulation difficulties for processes of aging and inequalities in population health. Dr. Richmond-Rakerd uses genetically-informative\, longitudinal\, and nationwide administrative-register study designs in her research. UID:142393-21890790@events.umich.edu URL:https://events.umich.edu/event/142393 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Institute For Social Research - 1430BD CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250102T120705 DTSTART;TZID=America/Detroit:20260107T133000 DTEND;TZID=America/Detroit:20260107T150000 SUMMARY:Workshop / Seminar:CoderSpaces - Wednesday DESCRIPTION:Are you grappling with a piece of code\, trying to compute on a cluster\, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\n\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\n\nTuesdays\, 9:30-11 a.m. ET\, via Zoom (Meeting ID:94181215786)\nWednesdays\, 1:30-3 p.m. ET\, via Zoom (Meeting ID: 98659357324) UID:117252-21865917@events.umich.edu URL:https://events.umich.edu/event/117252 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260126T121242 DTSTART;TZID=America/Detroit:20260128T120000 DTEND;TZID=America/Detroit:20260128T130000 SUMMARY:Workshop / Seminar:Mathematical Biology Seminar: How much data is needed to validate multiscale models of viral infections? DESCRIPTION:Uncertainty in parameter estimates from fitting mathematical models to empirical data limits the model’s ability to uncover mechanisms of interaction. Understanding the effect of model structure and data availability on model predictions is important for informing model development and experimental design. To address sources of uncertainty in parameter estimation\, I will present methodologies that can help determine when a model can reveal its parameters. I will apply them in the context of virus infections in animals and humans at within-host\, population\, and multiscale levels. Using these approaches\, I will provide insight into the sources of uncertainty and provide guidelines for the types of model assumptions\, optimal experimental design\, and biological information needed for improved predictions.\n\nThis seminar is hybrid: meeting in Weiser 296 and via Zoom:\nhttps://umich.zoom.us/j/97725897086\nMeeting ID: 977 2589 7086\nPasscode: mathbio UID:143969-21895434@events.umich.edu URL:https://events.umich.edu/event/143969 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:data LOCATION:Weiser Hall - 296 CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260107T161642 DTSTART;TZID=America/Detroit:20260128T120000 DTEND;TZID=America/Detroit:20260128T130000 SUMMARY:Lecture / Discussion:MPSDS / JPSM Seminar Series: Sensitivity Analyses for Nonignorable Selection Bias When Estimating Subgroup Parameters in Nonprobability Samples: A Weighting Approach DESCRIPTION:MPSDS / JPSM Seminar Series\nMPSDS M3 Series: Mastery\, Methodology\, Meetups\n\nIn person\, room 1070 Institute for Social Research\, and via Zoom. \nThe Zoom call will be locked 10 minutes after the start of the presentation.\n\nSensitivity Analyses for Nonignorable Selection Bias When Estimating Subgroup Parameters in Nonprobability Samples: A Weighting Approach\n\nSelection bias in survey estimates is a major concern\, affecting both nonprobability samples and probability samples with low response rates. The proxy-pattern mixture model (PPMM) offers a method for conducting a sensitivity that assumes a nonignorable selection mechanism\, where selection depends on survey outcomes of interest. This approach requires summary-level auxiliary information for the target population of interest from a reference data source. While PPMM methods have been successfully applied to derive overall population-level estimates\, extension to domain-level estimates is challenging when population-level summaries for the specific subgroup are unavailable. This occurs when the domain indicator is observed only in the survey\, or for complex intersectional subgroups where stable/reliable population-level auxiliary variable estimates are unavailable. To combat this issue\, we propose a novel approach: creating nonignorable selection weights based on the PPMM based on a re-expression of the PPMM as a selection model. These weights can be directly applied to calculate domain-level estimates\, circumventing the need for domain-specific population-level summaries of auxiliary variables. They rely on a single sensitivity parameter (ranging from 0 to 1) that captures a spectrum of nonresponse assumptions\, ranging from an ignorable mechanism to an extreme nonignorable mechanism. We discuss differences in weight construction for continuous versus binary outcomes\, describe the necessary assumptions for these weights to produce informative domain-level estimates\, and illustrate properties through simulation. We then apply the approach to the Census Household Pulse Survey to estimate various subgroup quantities under a range of assumptions on the selection mechanism.\n\nRebecca R. Andridge\, PhD\nThe Ohio State University\nCollege of Public Health\, Division of Biostatistics\nAssociate Dean for Undergraduate Studies\nProfessor of Biostatistics\n\nDr. Andridge's research is focused on imputation methods for missing data\, primarily when missingness is driven by the missing values themselves (missing not at random)\, and on measures of selection bias for nonprobability samples. She also works on statistical challenges that arise in analysis of data from group-randomized trials. She collaborates with researchers across campus\, including the Institute for Behavioral Medicine Research\, the Nisonger Center for Excellence in Developmental Disabilities\, and The OSU Comprehensive Cancer Center\, and serves as Lead Methodologist for several state-sponsored population-based surveys. She is an Elected Fellow of the American Statistical Association (2020). UID:143425-21893147@events.umich.edu URL:https://events.umich.edu/event/143425 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location - Room 1070, Institute for Social Research CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260119T114121 DTSTART;TZID=America/Detroit:20260209T120000 DTEND;TZID=America/Detroit:20260209T130000 SUMMARY:Livestream / Virtual:Data Brunch Live! Welcome to the Data Fair DESCRIPTION:Join the ICPSR Data Brunch podcast host(s) for the live kickoff of the 2026 Data Fair @ Love Data Week! Learn about what is planned for this week and hear stories about data\, the people who use\, seek\, or create data\, and why you should care. \n\nNew to the podcast? Catch up on past episodes at https://myumi.ch/ICPSRDataBrunch\n\nThis webinar is part of the 2026 ICPSR Data Fair @ Love Data Week. For more information\, please visit myumi.ch/ICPSRLoveDataWeek.\n\nThis event is free and open to the public. The webinar will be recorded\, and the recording\, along with the slides (when available)\, will be made available in the 2026 Love Data Week YouTube playlist at https://myumi.ch/y1jm8. UID:144115-21894683@events.umich.edu URL:https://events.umich.edu/event/144115 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260119T114226 DTSTART;TZID=America/Detroit:20260209T140000 DTEND;TZID=America/Detroit:20260209T150000 SUMMARY:Livestream / Virtual:ICPSR Data Communication Scholarship DESCRIPTION:We invite you to join this webinar to learn about the annual ICPSR Data Communication Scholarship for undergraduate and graduate students from ICPSR member institutions. Students will enjoy the opportunity to explore ICPSR data\, select a study of interest\, and communicate its key features\, significance\, and potential uses in a dynamic\, three-minute video.\n\nVisit https://myumi.ch/Xeo1y to see the videos from the 2025 winners and to submit your entry by February 23\, 2026. \n\nThis webinar is part of the 2026 ICPSR Data Fair @ Love Data Week. For more information\, please visit myumi.ch/ICPSRLoveDataWeek.\n\nThis event is free and open to the public. The webinar will be recorded\, and the recording\, along with the slides (when available)\, will be made available in the 2026 Love Data Week YouTube playlist at https://myumi.ch/y1jm8. UID:144116-21894689@events.umich.edu URL:https://events.umich.edu/event/144116 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260119T113803 DTSTART;TZID=America/Detroit:20260209T150000 DTEND;TZID=America/Detroit:20260209T160000 SUMMARY:Livestream / Virtual:Child and Family Data Archive (CFData)-What’s new at CFData! DESCRIPTION:The Child and Family Data Archive (CFData) is the place to discover\, access\, and analyze data on early care\, education\, and families. See our new website and learn about the resources and data available at CFData. \n\nFor questions\, contact archive staff at CFData-help@umich.edu. UID:144119-21894690@events.umich.edu URL:https://events.umich.edu/event/144119 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260206T104725 DTSTART;TZID=America/Detroit:20260210T100000 DTEND;TZID=America/Detroit:20260210T110000 SUMMARY:Livestream / Virtual:Disappearing Data: Monitoring Federal SOGI Data Losses and Advancing Accountability DESCRIPTION:Description\nJoin ICPSR\, the Movement Advancement Project\, and the Williams Institute for a special Love Data Week panel examining the disappearance of sexual orientation and gender identity (SOGI) data from federal surveys and administrative systems—and what these losses mean for people\, policy\, and decision-making. Panelists will situate recent changes within broader federal data policy\, review progress made prior to 2025\, and discuss how new executive actions are reshaping the collection\, governance\, and use of SOGI data across government.\n\nThe discussion will highlight concrete examples of removed or altered data elements\, outline efforts to monitor and document these changes\, and explore accountability pathways including litigation and public comment. Participants will also learn how to engage with ongoing initiatives to help track and protect essential public data moving forward.\n\nThis webinar is part of the 2026 ICPSR Data Fair @ Love Data Week. For more information\, please visit myumi.ch/ICPSRLoveDataWeek.\n\nThis event is free and open to the public. The webinar will be recorded\, and the recording\, along with the slides (when available)\, will be made available in the 2026 Love Data Week YouTube playlist at https://myumi.ch/y1jm8. UID:145161-21896745@events.umich.edu URL:https://events.umich.edu/event/145161 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260120T094459 DTSTART;TZID=America/Detroit:20260210T130000 DTEND;TZID=America/Detroit:20260210T140000 SUMMARY:Livestream / Virtual:Getting Better All the Time: Metadata Enhancements in the ICPSR Catalog DESCRIPTION:ICPSR is enhancing our metadata – the information we provide about each study\, like its title\, time period\, and subject – to make our data easier to find\, use\, and share. These improvements have been designed as part of ICPSR’s Research Data Ecosystem (RDE) platform\, supported by the National Science Foundation\, and are now being introduced to some live ICPSR data collections. \n\nEnhancements include:\n * addition of persistent identifiers (PIDs) for people and organizations\, to support connections across systems\;\n * improved controlled vocabularies to search by data characteristics such as format and collection method – like survey\, panel\, or GIS data\;\n * new required fields to clearly indicate where\, when\, and what each data collection is about\;\n * better handling of geographic coverage and new fields that help users find data from small towns to entire continents\, including nationally representative data.\n\nIn this presentation\, members of ICPSR’s metadata team will show these enhancements\, which are already live in some ICPSR data collections. We’ll also share practical tips for attendees who deposit data with ICPSR or support people who do – ideas to help depositors prepare to make the best use of these new fields as they roll out to more collections within ICPSR. UID:144172-21894776@events.umich.edu URL:https://events.umich.edu/event/144172 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260120T094930 DTSTART;TZID=America/Detroit:20260210T150000 DTEND;TZID=America/Detroit:20260210T160000 SUMMARY:Livestream / Virtual:ICPSR Live Demo: Data Fair Edition DESCRIPTION:Join us for a live demo of data and resources from ICPSR\, the world's largest social science data archive. Topics include:\n\n-Highlights of data at ICPSR\n-ICPSR Bibliography (publications that use data found at ICPSR)\n-Sharing data through ICPSR\n-Resources for teaching with ICPSR data\n-Data training through the ICPSR Summer Program\n-Additional resources\n-Questions\n\nAutomated captions and translations are available. Live demos are not recorded. \n\nThis event is free and open to the public. This event is part of the 2026 ICPSR Data Fair and Love Data Week. UID:144173-21894777@events.umich.edu URL:https://events.umich.edu/event/144173 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260120T095417 DTSTART;TZID=America/Detroit:20260211T120000 DTEND;TZID=America/Detroit:20260211T130000 SUMMARY:Livestream / Virtual:Data Sharing for Real-World and Non-Primary Data Sources DESCRIPTION:The National Addiction and Health Data Archive Program (NAHDAP)\, a data archive at ICPSR at the University of Michigan\, facilitates research on substance use and health by acquiring\, enhancing\, preserving\, and sharing data produced by research grants. In this webinar\, the presenters will share information on how to prepare and share data from real-world and non-primary data sources for archiving with NAHDAP.\n\nIn this webinar\, you will learn:\n- What do we mean by “real-world” and “non-primary” data?\n- What types of real-world and non-primary data does NAHDAP accept\, and what are some examples of these types of data already available at NAHDAP and ICPSR?\n- How does the data preparation process differ for archiving data from real-world and non-primary data compared to archiving primary data?\n- What are the benefits of sharing these types of data with NAHDAP\, including benefits to data users and the research community?\n- What ethical or legal considerations should researchers be aware of when planning to archive these types of data?\n- How to deposit your files via NAHDAP’s online deposit form\n\nThis webinar is free and open to the public. It is suitable for anyone who is interested in sharing research data on substance use and health-related topics. UID:144174-21894778@events.umich.edu URL:https://events.umich.edu/event/144174 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260120T095815 DTSTART;TZID=America/Detroit:20260211T130000 DTEND;TZID=America/Detroit:20260211T140000 SUMMARY:Livestream / Virtual:DataLumos: An Update on the Crowd-sourced Repository for Valuable Government Data DESCRIPTION:DataLumos is an ICPSR archive for valuable government data resources. ICPSR has a long commitment to safekeeping and disseminating US government and other social science data. DataLumos accepts deposits of public data resources from the community and recommendations of public data resources that ICPSR itself might add to DataLumos. Visit datalumos.org to learn more.\n\nThis webinar is part of the 2026 ICPSR Data Fair @ Love Data Week. For more information\, please visit myumi.ch/ICPSRLoveDataWeek.\n\nThis event is free and open to the public. The webinar will be recorded\, and the recording\, along with the slides (when available)\, will be made available in the 2026 Love Data Week YouTube playlist at https://myumi.ch/y1jm8. UID:144175-21894779@events.umich.edu URL:https://events.umich.edu/event/144175 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260120T100420 DTSTART;TZID=America/Detroit:20260211T140000 DTEND;TZID=America/Detroit:20260211T150000 SUMMARY:Livestream / Virtual:NACDA Study Highlight – The Vietnam Era Twin Study of Aging (VETSA) DESCRIPTION:The Vietnam Era Twin Study of Aging (VETSA) projects began in 2002 with the goal of understanding risk and protective factors\, including genetics\, for cognitive and brain aging starting in midlife. This NIH funded longitudinal study has multiple waves of data collection following the same group of non-patient\, community dwelling male veteran twins from when they were average age 56 to average age 68. The VETSA is heavily focused on in-person cognitive testing\, yet includes a wide array of psychosocial\, demographic\, medical history\, physical functioning\, and personality measures. \n\nVETSA data are available through ICPSR/NACDA.\n\nDuring this webinar\, we will feature the VETSA data producers\, who will discuss the history and applications of this collection\, and the NACDA team will demonstrate how to access the VETSA materials.\n\nParticipants will also have the opportunity to provide feedback and ask questions.\n \nThis webinar is free and open to the public. UID:144176-21894780@events.umich.edu URL:https://events.umich.edu/event/144176 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260120T100810 DTSTART;TZID=America/Detroit:20260211T150000 DTEND;TZID=America/Detroit:20260211T160000 SUMMARY:Livestream / Virtual:ICPSR Summer Program: For the Love of Research Methods! DESCRIPTION:Join us for a webinar about the 2026 ICPSR Summer Program in Quantitative Methods. Since 1963\, the ICPSR Summer Program in Quantitative Methods has provided rigorous\, comprehensible training in statistics\, quantitative and qualitative methods\, and data analysis. Our commitment to providing premier instruction in courses that are affordable and enjoyable has inspired generations of researchers to call the ICPSR Summer Program their home for learning statistics! Visit www.icpsr.umich.edu/sumprog to learn more about the ICPSR Summer Program! \n\nThis webinar is part of the 2026 ICPSR Data Fair @ Love Data Week. For more information\, please visit myumi.ch/ICPSRLoveDataWeek.\n\nThis event is free and open to the public. The webinar will be recorded\, and the recording\, along with the slides (when available)\, will be made available in the 2026 Love Data Week YouTube playlist at https://myumi.ch/y1jm8. UID:144177-21894784@events.umich.edu URL:https://events.umich.edu/event/144177 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260123T170345 DTSTART;TZID=America/Detroit:20260212T120000 DTEND;TZID=America/Detroit:20260212T130000 SUMMARY:Livestream / Virtual:DSDR Marks the Spot: Finding Quality Population Health Data Resources DESCRIPTION:Data Sharing for Demographic Research (DSDR) is a population health data archive within ICPSR at the University of Michigan. DSDR advances research on maternal and child health and the life course by making data discoverable and accessible for secondary analysis.\n\nIn this webinar\, presenters will introduce DSDR’s data collections and services\, highlight recent and upcoming data releases\, and showcase tools and resources for secondary data researchers and data depositors. Attendees will learn how DSDR can support their research\, data sharing\, and data reuse efforts.\n\nThis webinar is part of the 2026 ICPSR Data Fair @ Love Data Week. For more information\, please visit myumi.ch/ICPSRLoveDataWeek.\n\nThis webinar is free and open to the public. Automated live captioning will be available. The webinar will be recorded\, and the recording\, along with the slides (when available)\, will be made available in the 2026 Love Data Week YouTube playlist at https://myumi.ch/y1jm8. UID:144410-21895316@events.umich.edu URL:https://events.umich.edu/event/144410 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260123T170751 DTSTART;TZID=America/Detroit:20260212T130000 DTEND;TZID=America/Detroit:20260212T140000 SUMMARY:Livestream / Virtual:Lay All Your Love on Metadata: A New API for Discovery DESCRIPTION:ICPSR maintains a collection of 60+ years of curated\, richly described research data available for reuse by social science researchers at all levels of experience. A key challenge to disseminating this data is making it findable – helping users discover our data resources and making them aware of the ways in which ICPSR data can support their research needs. \n\nTo address this challenge\, ICPSR created a metadata export API (Application Programming Interface) that enables individuals and institutions to programmatically retrieve study-level metadata about ICPSR studies in multiple standards-based formats. The API supports reuse of ICPSR metadata in local catalogs\, discovery systems\, research workflows\, and downstream applications. It extends and enriches ICPSR’s reach while increasing the FAIRness (findability\, accessibility\, interoperability\, and reusability) of its data collections. \n\nIn this presentation\, members of ICPSR’s metadata team will demonstrate the new metadata export API and its benefits\, including how to query it to find studies that meet specific research needs\, what information is returned in the results\, and how these exports improve upon ICPSR’s previous metadata distribution offerings. If you're interested in incorporating ICPSR data into another discovery platform\, this session will show you how to get started.\n\nPresenters:\n * Mike Shallcross\, Senior Associate Archivist\, Metadata & Preservation\, ICPSR\n * Megan Chenoweth\, Metadata Manager\, Metadata & Preservation\, ICPSR\n * Jared Lyle\, Archivist and Director\, Metadata & Preservation\, ICPSR UID:144411-21895317@events.umich.edu URL:https://events.umich.edu/event/144411 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260123T171709 DTSTART;TZID=America/Detroit:20260212T140000 DTEND;TZID=America/Detroit:20260212T150000 SUMMARY:Livestream / Virtual:AI at ICPSR: The Feb. 2026 Edition DESCRIPTION:Have you wondered whether you can use Artificial Intelligence (AI) tools with publicly available data from places like ICPSR? Or wondered what places like ICPSR are thinking about AI in relation to delivering data services? Then this session is for you! We will talk briefly about ways we know AI is being used in social research\, what ICPSR's policy is governing whether our data can be used with AI tools (and why)\, and how ICPSR is experimenting with integrating AI into our own work. You'll hear about current projects and future directions from this quickly changing landscape!\n\nThis webinar is part of the 2026 ICPSR Data Fair @ Love Data Week. For more information\, please visit myumi.ch/ICPSRLoveDataWeek.\n\nThis event is free and open to the public. The webinar will be recorded\, and the recording\, along with the slides (when available)\, will be made available in the 2026 Love Data Week YouTube playlist at https://myumi.ch/y1jm8. UID:144412-21895318@events.umich.edu URL:https://events.umich.edu/event/144412 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260124T094819 DTSTART;TZID=America/Detroit:20260213T120000 DTEND;TZID=America/Detroit:20260213T130000 SUMMARY:Livestream / Virtual:ICPSR Data-Savvy Teaching Office Hours: Data Fair Edition DESCRIPTION:Join us for membership Office Hours! Get ideas for bringing data into the classroom\, share and learn best practices\, and get to know the data resources available at ICPSR. Office Hours are conversation-style sessions hosted by Dr. Lynette Hoelter\, Director of Instructional Resources at ICPSR. \n\nOffice Hours are drop in and will not be recorded. \n\nThis event is free and open to the public. This event is part of the 2026 ICPSR Data Fair and Love Data Week. UID:144424-21895340@events.umich.edu URL:https://events.umich.edu/event/144424 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260124T095155 DTSTART;TZID=America/Detroit:20260213T130000 DTEND;TZID=America/Detroit:20260213T140000 SUMMARY:Livestream / Virtual:A Re-Introduction to the Social Media Archive: New Website\, New Features\, New Data DESCRIPTION:The Social Media Archive at ICPSR is back with a fresh look\, powerful new features\, and a treasure trove of social media data ready for exploration! If you’ve ever wondered\, “Where does social media data go after it’s collected\, and how can I actually use it in my research?”—this session is for you. We’re excited to re-introduce the Social Media Archive’s redesigned website and showcase innovative tools and resources that make it easier than ever to find\, access\, analyze\, and deposit social media datasets and studies.\nJoin us as we trace data’s journey\, from massive public posts to restricted but accessible datasets\, highlighting how new website features support discovery\, responsible data use\, and transparency. Whether you’re new to ICPSR or a seasoned data explorer\, you’ll learn how to harness this rapidly expanding resource for your research. From metadata to API access\, from Facebook and Reddit posts to Amazon reviews and AI datasets\, the Social Media Archive offers a diverse selection to inspire your next project.\nReady to discover “Where’s the Data?” and what you can achieve with it? Come see how the Social Media Archive at ICPSR is evolving to meet the needs of today’s social science researchers!\n\nThis webinar is part of the 2026 ICPSR Data Fair @ Love Data Week. For more information\, please visit myumi.ch/ICPSRLoveDataWeek.\n\nThis event is free and open to the public. The webinar will be recorded\, and the recording\, along with the slides (when available)\, will be made available in the 2026 Love Data Week YouTube playlist at https://myumi.ch/y1jm8. UID:144425-21895341@events.umich.edu URL:https://events.umich.edu/event/144425 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260124T095609 DTSTART;TZID=America/Detroit:20260213T140000 DTEND;TZID=America/Detroit:20260213T150000 SUMMARY:Livestream / Virtual:Navigating the New North: Data Insights About the Changing Canadian Consumer Patterns DESCRIPTION:Long-standing relationships and consumer behaviour between Canada and the United States experienced a significant shift in 2025 in part due to trade negotiations between the two nations. Canadians reacted to these changes by promoting a ‘buy-Canadian’ focus and choosing to travel less frequently to the United States.\n\nUsing data from Statistics Canada and other Canadian sources\, we will discuss how these trends are reflected in the data and will highlight how socio-economic conditions have changed during this period of transformation between our neighbouring countries.\n\nThis webinar is part of the 2026 ICPSR Data Fair @ Love Data Week. For more information\, please visit myumi.ch/ICPSRLoveDataWeek.\n\nThis event is free and open to the public. The webinar will be recorded\, and the recording\, along with the slides (when available)\, will be made available in the 2026 Love Data Week YouTube playlist at https://myumi.ch/y1jm8. UID:144426-21895342@events.umich.edu URL:https://events.umich.edu/event/144426 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20250924T145336 DTSTART;TZID=America/Detroit:20260218T120000 DTEND;TZID=America/Detroit:20260218T130000 SUMMARY:Lecture / Discussion:MPSDS JPSM Seminar Series - Rethinking Methods in the Global Attitudes Project: Explorations in Australia and Sweden DESCRIPTION:MPSDS JPSM Seminar Series\nMPSDS M3 Series\n\nFebruary 18\, 2026\n12:00 - 1:00 pm EST\nIn person\, room 1070 Institute for Social Research\, and via Zoom. The Zoom call will be locked 10 minutes are the start of the presentation.\n\nRethinking Methods in the Global Attitudes Project: Explorations in Australia and Sweden\n\nIn addition to regularly surveying the American public\, Pew Research Center fields cross-national public opinion surveys in more than 20 countries annually as part of its Global Attitudes Project (GAP). The Center’s International Methods team focuses on designing\, implementing\, monitoring\, and improving these surveys throughout the year. In this talk\, we present two research projects from 2025 in Australia and Sweden.\n\nMany surveys around the world\, across modes and methods\, have tended to show a slight left-leaning political bias. Weighting to past vote or party affiliation is a common solution\, but these corrections alone may create excessive variance inflation. We faced this problem in our surveys fielded on the mixed-mode Life in Australia probability panel\, administered by the Australian National University’s Social Research Centre. To combat this bias\, we tested a “voting-adjusted” sampling approach recommended by our partners at SRC\, in parallel with our previous standard stratified sampling design. Taking advantage of panel information and recent Australian elections\, the new method incorporates self-reported 2022 vote into individual weights which are used as a measure of size for PPS sampling. After reviewing the technical details behind this approach\, we’ll discuss our findings on its impact on variance and substantive estimates compared to the standard design.\n\nPush-to-web (P2W) designs are gaining traction in Europe as an alternative to costly – and methodologically challenged – interviewer-administered approaches. For instance\, the European Social Survey announced that by 2027 online and paper self-administered surveys will be their primary means of data collection replacing their traditional face-to-face approach. To better understand this mode and its potential for future waves of GAP\, we recently piloted an ABS-style\, sequential P2W survey in Sweden to compare with our traditional dual-frame phone design (DFRDD). Our presentation will compare P2W and DFRDD sample outcomes in terms of data quality (such as response rates\, response differentiation\, survey engagement\, and open-ended answer quality)\, representativeness (versus demographic parameters for gender\, education\, age and geography) and attitudinal estimates (considering the viability of long-term data trends if mode transitioned in Sweden). The P2W survey included an unconditional incentive experiment as well as a paper questionnaire mailing\, allowing us to present findings regarding the value of these design elements. This section of the talk concludes with key takeaways and recommendations for future mode-transition trials. \n\nSofi Sinozich is a research methodologist in international methods at Pew Research Center. She advises on complex sample design\, survey implementation\, and data quality assessment for international projects across the Center. Prior to joining the Center\, she was a senior research analyst at Langer Research Associates\, where she managed and contributed to a wide variety of survey projects\, including serving as lead analyst on the ABC News/Washington Post poll. She holds a master's degree in survey methodology from JPSM and is a member of the WAPOR Professional Standards committee.\n\nPatrick Moynihan is the associate director of international methods at Pew Research Center. Prior to joining the Center\, Patrick was the survey methodologist in the U.S. Department of State’s Office of Opinion Research (INR/OPN)\, assistant director of the Program on Survey Research at Harvard University\, and senior polling analyst at ABC News. He is a past president of the New England Chapter of the American Association for Public Opinion Research (AAPOR)\, served on multiple national AAPOR committees\, and is currently a member of the Committee on Professional Standards for the World Association for Public Opinion Research. Moynihan received his doctorate in sociology from SUNY Stony Brook. UID:139829-21886103@events.umich.edu URL:https://events.umich.edu/event/139829 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location - Room 1070, Institute for Social Research CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260303T144954 DTSTART;TZID=America/Detroit:20260224T133000 DTEND;TZID=America/Detroit:20260224T143000 SUMMARY:Lecture / Discussion:Privacy@Michigan: Interrogating the Quiet Escalation of Tech Billionaire Influence on Detroit’s Future DESCRIPTION:Join Chris Gilliard\, privacy researcher\, and Tawana Petty\, artist and organizer\, as they discuss the impact of big tech on the future of Detroit.\n\nAn eleven-foot Robocop statue stands prominently in Eastern Market. A defense contractor headquarters is moving to the riverfront. A drone conference is scheduled to take place on land\, in the air\, and on the water. A large billboard and an annual conference signal Palantir’s investment into Detroit as “America’s Future\,” a billion-dollar renovated “train” station and technology campus is building a drone highway\, and the World Economic Forum has its eyes on the city as a potential location for its global Davos summit.\n\nWhat does this trajectory mean for the future of a predominantly Black city that has led the country in misidentification cases by law enforcement using facial recognition\, has had a median household income hovering under $40\,000\, and has more than 50% of its youth living in poverty?\n\nDr. Chris Gilliard and Tawana Petty will interrogate these questions and more. UID:145440-21897360@events.umich.edu URL:https://events.umich.edu/event/145440 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Michigan League - Koessler Room (3rd Floor) CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260224T101023 DTSTART;TZID=America/Detroit:20260304T100000 DTEND;TZID=America/Detroit:20260304T160000 SUMMARY:Workshop / Seminar:Learning Analytics in Action 2026 DESCRIPTION:Join us for Learning Analytics in Action 2026\, an in-person event hosted by the ITS Teaching & Learning team to showcase how the effective use of data can transform classrooms and enhance student success.\n\nDiscover how Canvas\, MiVideo\, Annoto and other learning tools offer a wealth of data and analytics that can provide valuable insights into how students are engaging\, where they’re succeeding\, and where they would benefit from additional support. Join us to understand the learning analytics information available to you and find out how others use this data in their teaching\, learning\, and advising.\n\nOpen to faculty\, instructional designers\, staff\, advisors\, and all other teaching and learning professionals are encouraged to attend—no prior knowledge of learning analytics is required.\n\nMarch 4\, 2026\n10 a.m. – 4 p.m.\nWeiser Hall\, 10th floor\n\nLunch will be provided for participants who register before February 24\, 2026.\n\nRegister here: https://myumi.ch/pVNk2\n\n*Speaker details and abstracts TBA. UID:144729-21895780@events.umich.edu URL:https://events.umich.edu/event/144729 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Weiser Hall - 1010 CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260323T004937 DTSTART;TZID=America/Detroit:20260325T120000 DTEND;TZID=America/Detroit:20260325T130000 SUMMARY:Workshop / Seminar:Mathematical Biology Seminar: Cyanobacterial Clocks: How do they work\, and what are they good for? DESCRIPTION:All plants and animals and many unicellular organisms possess circadian clocks--autonomous oscillators with a roughly 24 hour period that allow them to anticipate daily cycles of light and dark. I will discuss recent progress on understanding one such biological clock\, in the photosynthetic bacterium S. elongatus. This system has the remarkable feature that the core biochemical oscillator can be reconstituted in vitro with only three purified proteins. Thus\, unlike almost all other circadian clocks studied to date\, it requires neither transcription nor translation but functions entirely post-translationally. After reviewing what we know about how the in vitro oscillator functions\, as well as a few outstanding puzzles\, I will turn my attention to the implications of this understanding for clock function in the living cell. In particular\, I will use biophysical models to address two questions: How does the clock continue to tick robustly in the noisy cellular environment? And what selective advantage does the clock provide? In the former case\, I will argue that the core post-translational oscillator is necessary to make the clock robust to several perturbations present in any growing\, dividing cell\, but that other specific adaptations are also required. In response to the latter question\, I will present efforts to quantify the clock's contributions to fitness through anticipating diurnal environmental changes and through rejecting environmental noise. UID:146903-21899769@events.umich.edu URL:https://events.umich.edu/event/146903 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:data LOCATION:Weiser Hall - 296 CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260316T122849 DTSTART;TZID=America/Detroit:20260325T120000 DTEND;TZID=America/Detroit:20260325T130000 SUMMARY:Workshop / Seminar:MPSDS / JPSM Seminar Series: From Survey to SurvAI: The Promises and Precautions of AI for Survey Research DESCRIPTION:MPSDS / JPSM Seminar Series\nMPSDS M3 Series: Mastery\, Methodology\, Meetups\n\nIn person\, room 1070 Institute for Social Research\, and via Zoom.\nThe Zoom call will be locked 10 minutes after the start of the presentation.\n\nFrom Survey to SurvAI: The Promises and Precautions of AI for Survey Research\n\nLarge language models (LLMs) are rapidly transforming many professional domains\, including survey research. Eloundou et al. (2024) rank survey research among the most highly exposed occupations to LLM-driven automation\, raising both opportunities and challenges for practitioners. While survey science has a rich tradition of adopting technological tools for tasks like data collection\, analysis\, and instrument design\, the unique affordances and risks associated with LLMs call for a structured examination.\n\nThis paper presents findings from a systematic literature review of empirical and theoretical work at the intersection of LLMs and survey research. Specifically\, we sought to synthesize examples of how LLMs are being applied across three broad phases of the survey research pipeline including: pre-data collection\, data collection and post-data collection. Methodologically\, this review identifies uneven distribution of LLM application across the survey pipeline. While pre-data collection stages (e.g.\, item writing\, translation) are well explored\, core practices like live interviewing\, recruitment\, and cross-lingual adaptation remain under-investigated. Additionally\, few studies assess LLMs systematically across multiple populations\, languages\, or survey topics. In this presentation we will highlight not just the breadth of current use cases\, but also the methodological and ethical considerations that must accompany them noting examples that are both promising as well as precautionary.\n\nTrent D. Buskirk\, Ph.D. has recently joined the new School of Data Science at Old Dominion University. Prior to this appointment\, Trent was the Novak Family Distinguished Professor of Data Science and outgoing Chair of the Applied Statistics and Operations Research Department at Bowling Green State University. Dr. Buskirk is a Fellow of the American Statistical Association and his research is positioned at the intersection of survey science\, data science\, computational social science\, and human–AI interaction. His specific research interests include Schema-Driven LLM-Based Inference\, big data quality\, recruitment methods through social media\, the use of big data and machine learning methods for health\, social and survey science design and analysis\, mobile and smartphone survey designs and in methods for calibrating and weighting samples and fairness in AI models and interpretable ML methods. Trent has also been involved in various professional organizations serving as the President of the Midwest Association for Public Opinion Research in 2016\, the Conference Chair for AAPOR in 2018 and a member of the scientific committee for the BigSurv series of conferences since 2018. Trent as also served as an Associate Editor (Methods) for the Journal of Survey Statistics and Methodology. Dr. Buskirk is currently serving on the AAPOR Responsible Integration of AI in Survey Research task force. When Trent is not geeking out over data science or survey research\, he’s likely out playing a competitive game of Pickleball! UID:146650-21899402@events.umich.edu URL:https://events.umich.edu/event/146650 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location - Institute for Social Research, Room 1070, Ann Arbor MI CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260324T172704 DTSTART;TZID=America/Detroit:20260327T120000 DTEND;TZID=America/Detroit:20260327T130000 SUMMARY:Presentation:Unveil: Privacy@Michigan Student Art Contest Exhibition and Awards Ceremony DESCRIPTION:Join us for the Unveil: Privacy@Michigan Student Art Contest exhibition\, awards ceremony\, and reception. We will honor the winners in the visual and literary arts categories and showcase the artworks.\n\nThe Unveil contest challenged U-M students to reflect on ideas and experiences\, create original art\, and spark important conversations about the intersection of privacy and surveillance\, autonomy\, individual rights\, and civil liberties.\n\nThis event is co-sponsored by Information and Technology Services (ITS) and the School of Information.\n\nUnveil page: safecomputing.umich.edu/unveil\nSafe Computing Events Page: safecomputing.umich.edu/node/18951 UID:147003-21900231@events.umich.edu URL:https://events.umich.edu/event/147003 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Palmer Commons - Great Lakes Ballroom South CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260318T154135 DTSTART;TZID=America/Detroit:20260408T120000 DTEND;TZID=America/Detroit:20260408T130000 SUMMARY:Lecture / Discussion:MPSDS / JPSM Seminar Series - Machine Learning for Inverse Probability Weighting in the American Community Survey DESCRIPTION:MPSDS / JPSM Seminar Series\nMPSDS M3 Series: Mastery\, Methodology\, Meetups\n\nIn person\, room 1070\, Institute for Social Research and via Zoom. \nthe Zoom call will be locked 10 minutes after the start of the presentation. \n\nMachine Learning for Inverse Probability Weighting in the American Community Survey\n\nDeclining response rates and data collection interruptions are resulting in missing data complexity that traditional missing data techniques used in Census Bureau survey processing may not flexibly capture. At the same time\, availability and link ability of administrative records\, third party\, and previous census/survey data has improved allowing for more informative response propensity models. These developments lend themselves to the study of data-driven enhancements on inverse probability weighting (IPW) methods to adjust for unit nonresponse. We study and compare the use of traditional statistical models and machine learning algorithms applied to complex survey data for model-based IPW nonresponse adjustment using auxiliary sources with multiple years of American Community Survey data. We share various measures for model comparisons\, application-specific tuning parameter selection\, and visualizations of geographically-differentiated results.\n\nDarcy Morris is a Research Mathematical Statistician in the Center for Statistical Research and Methodology at the U.S. Census Bureau. Dr. Morris' research interests include missing data methods for probability and nonprobability data\, categorical data analysis\, and multivariate distributions with applications in a variety of economic\, demographic\, and social topics. She received her PhD in Statistics from Cornell University and a Master's in Statistics from George Washington University\, where she is currently a Professional Lecturer in the Data Science Program. UID:146776-21899609@events.umich.edu URL:https://events.umich.edu/event/146776 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location - 1070 ISR CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260419T223253 DTSTART;TZID=America/Detroit:20260422T120000 DTEND;TZID=America/Detroit:20260422T130000 SUMMARY:Workshop / Seminar:Mathematical Biology Seminar: Parameter Estimation\, Calibration\, Uncertainty and Sensitivity in Multiscale Models DESCRIPTION:Mathematical and computational models of biological systems are increasingly complex\, typically comprised of hybrid multi-scale methods such as ordinary differential equations\, partial differential equations\, agent-based and rule-based models\, etc. These mechanistic\, multiscale models concurrently simulate detail at resolutions of whole host\, multi-organ\, organ\, tissue\, cellular\, molecular\, and genomic dynamics. Lacking analytical and numerical methods\, solving complex biological models requires iterative parameter sampling-based approaches to establish appropriate ranges\, of model parameters that capture corresponding experimental datasets. However\, these models typically comprise large numbers of parameters and therefore large degrees of freedom. Thus\, fitting these models to multiple experimental datasets over time and space presents significant challenges. We undertake the task of advancing calibration practices across models and dataset types for model calibration. Evaluating the process of calibrating models includes weighing strengths and applicability of each approach as well as standardizing calibration methods. We compare the performance of our model agnostic Calibration Protocol (CaliPro) with approximate Bayesian computing (ABC) to highlight strengths\, weaknesses\, synergies\, and differences among these methods. Due to the typically nonlinear and stochastic nature of multiscale models as well as unknown parameter values\, various types of uncertainty are present\; thus\, effective assessment and quantification of such uncertainty through sensitivity analysis is important. We present ideas for global sensitivity analysis in the context of multiscale and multi-compartment models and highlight its value in model development and analysis. We present an overview of sensitivity analysis methods\, approaches for extending such methods to a multiscale setting\, and examples of how sensitivity analysis can inform model reduction. Through schematics and references to past work\, we aim to emphasize the advantages and usefulness of such techniques.\n\nThis seminar is hybrid: meeting in Weiser 296 and via Zoom:\nhttps://umich.zoom.us/j/99066992017\nMeeting ID: 990 6699 2017\nPasscode: mathbio! UID:147855-21902050@events.umich.edu URL:https://events.umich.edu/event/147855 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:data LOCATION:Off Campus Location - Weiser Hall Room 296 and Zoom CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130858 DTSTART;TZID=America/Detroit:20260513T100000 DTEND;TZID=America/Detroit:20260513T130000 SUMMARY:Class / Instruction:June 1-10\, 2026 MWF Course - Data Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences DESCRIPTION:June 1-10\, 2026 MWF\n10:00am - 1:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nData Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences\n\nThe recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals\, in real time\, and may also reduce participant burden. In this course\, we will provide examples of the utility of and integration of wearables\, sensors\, and apps in research settings. Examples will include the use of wearable health devices to measure activity\, apps for ecological momentary assessment\, and smartphone sensors to measure sound and movement\, among others. Additionally\, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage\, participation\, and measurement error when integrating wearables\, sensors\, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.\n\nHeidi Guyer is Senior Public Health Research Scientist at RTI International. Before joining RTI\, she was a Senior Survey Director and oversaw data collection on large national and international health research projects at the University of Michigan. She received a PhD in Epidemiology from the University of Michigan and a Master of Public Health from the University of Texas. She has extensive experience in population-based data collection\, cross-sectional and longitudinal health surveys\, and adapting clinical measures and new technology in health research. Her substantive areas of research have focused on the association between health behaviors\, such as sleep and diet quality\, and the development of chronic health conditions. UID:148256-21903455@events.umich.edu URL:https://events.umich.edu/event/148256 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131309 DTSTART;TZID=America/Detroit:20260513T100000 DTEND;TZID=America/Detroit:20260513T150000 SUMMARY:Class / Instruction:June 1-5\, 2026 Course - Introduction to the Health and Retirement Study (HRS) Workshop DESCRIPTION:June 1-5\, 2026 M-F\n10:00am - $3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nIntroduction to the Health and Retirement Study (HRS) Workshop\n\nThe Health and Retirement Study (hrs.isr.umich.edu) workshop is intended to give participants an introduction to the study that will enable them to get started using the data for research. HRS is a large-scale longitudinal study with more than 20 years of data on the labor force participation and health transitions that individuals undergo toward the end of their work lives and in the years that follow. This online workshop is intended for users who have little to no experience using HRS data.\n\nContent lectures delivered by HRS co-investigators and content area experts on basic survey content\, sample design\, weighting\, and restricted data files will be available on the course website for viewing ahead of time. During the week of the workshop\, each content lecturer will participate in a Zoom meeting with the class to answer questions about their lecture. The majority of each day will be devoted to data labs in which participants will gain experience using the data\, with a strong focus on introductory data management and simple data analysis.\n\nAmanda Sonnega\, PhD\, is a Research Scientist in the Survey Research Center of the Institute for Social Research (ISR) at the University of Michigan (UM)\, where she is responsible for integrating communication\, outreach\, and education efforts for the Health and Retirement Study. She received her doctorate through the Department of Health\, Behavior\, and Society at the Johns Hopkins University and completed a postdoctoral fellowship within the ISR program in Social Environment and Health. Dr. Sonnega has lectured in the UM School of Public Health on psychosocial factors in health-related behavior. Her research focuses on life course trajectories of physical and mental health\; institutional and personal factors associated with vulnerability and resilience in aging individuals\; and work transitions and their broad effects on health and well-being. UID:148257-21903461@events.umich.edu URL:https://events.umich.edu/event/148257 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131053 DTSTART;TZID=America/Detroit:20260513T130000 DTEND;TZID=America/Detroit:20260513T160000 SUMMARY:Class / Instruction:June 1-5 Course - Introduction to Qualitative Research Methods DESCRIPTION:June 1-5\, 2026\, M-F\n1:00-4:00pm \nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nIntroduction to Qualitative Research Methods\n\nThis introductory course provides students with a strong foundation in qualitative research\, covering principles of qualitative research\, study design including participant recruitment and sample size estimation. Students also learn how to design and conduct core data collection methods - in-depth interviews\, focus groups\, and observation – and a range of field tasks such as transcription and field training. Then writing and critiquing qualitative methods for academic work. The course is highly interactive\, emphasizing both the principles and skill development through applied activities. The course needs a minimum of 6 registrants and has an enrollment capacity of 10. \n\nDr. Monique Hennink is Professor in the Hubert Department of Global Health in the Rollins School of Public Health and Associated Faculty in Sociology at Emory University. She is also Visiting Professor at University of Michigan\, Department of Epidemiology\, and Instructor at the University of Columbia's EPISUMMER program in Epidemiology. She earned her PhD in Demography in the United Kingdom.\n\nDr Hennink was indicted into Emory’s MilliPub Club in 2023 and 2024 for two research papers. This honors faculty authors of a scientific publication with over 1\,000 citations - considered high impact scholarship. She received the 2020 Provost’s Distinguished Teaching Award for Excellence in Graduate and Professional Education at Emory University. She also received the 'Excellence in Research' Award in 2019 and the 'Excellence in Teaching' Award in 2016 at the Rollins School of Public Health.\n\nShe has particular expertise in applying qualitative research to examine public health issues. She has 30 years’ experience in the design\, conduct\, analysis\, and publication of qualitative health research. She has authored five textbooks on qualitative research\, including: Qualitative Research Methods 2nd edition (2020)\; Focus Group Discussions (2014)\, Qualitative Research Methods (2011) (also translated into Chinese) and International Focus Group Discussions (2007). She teaches graduate-level courses in qualitative research at Emory University. She developed the 'QUAL-WORKS' (https://sph.emory.edu/qual-works) training program in 2013 for public health professionals. Her courses\, workshops and books reflect the application of qualitative methods in globally diverse settings and provide guidance on how to balance methodological rigor with the practical realities of global research. She has also published on various methodological aspects of qualitative research\, such as using interpreters and translators in qualitative data collection\; the effect of using court reporters on data quality\; estimating sample size in qualitative studies\; and highlighting emerging methodological issues in focus group research. She has served as a board member for SAGE Publications on their ‘Cases in Methodology’ work and on the editorial board of the International Journal of Multiple Research Approaches. She co-chaired a three-year scientific panel for the International Union of the Scientific Study of Population (IUSSP)\, on ‘Qualitative Research in Population Studies’ which had a mandate to promote rigor in the use of qualitative methods in the discipline. She has led scientific sessions on qualitative research at key professional forums\, such as: International Congress of Qualitative Inquiry\; International Institute for Qualitative Methods\; European Association of Population Studies\; and the International Union for the Scientific Study of Population.\n\nTextbook Information: Hennink\, Hutter & Bailey (2020) 2nd Ed. Qualitative Research Methods. Sage Publications\; Ritchie et al (2014) Qualitative Research Practice: A Guide for Social Science Students & Researchers. Second Edition\; Emerson et al (2011) Writing Ethnographic Fieldnotes\; Rubin & Rubin (2012) Qualitative Interviewing. The Art of Hearing Data. Third Edition\; Hennink (2014) Focus Group Discussions. Oxford University Press UID:148255-21903453@events.umich.edu URL:https://events.umich.edu/event/148255 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260513T130000 DTEND;TZID=America/Detroit:20260513T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903522@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130858 DTSTART;TZID=America/Detroit:20260514T100000 DTEND;TZID=America/Detroit:20260514T130000 SUMMARY:Class / Instruction:June 1-10\, 2026 MWF Course - Data Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences DESCRIPTION:June 1-10\, 2026 MWF\n10:00am - 1:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nData Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences\n\nThe recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals\, in real time\, and may also reduce participant burden. In this course\, we will provide examples of the utility of and integration of wearables\, sensors\, and apps in research settings. Examples will include the use of wearable health devices to measure activity\, apps for ecological momentary assessment\, and smartphone sensors to measure sound and movement\, among others. Additionally\, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage\, participation\, and measurement error when integrating wearables\, sensors\, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.\n\nHeidi Guyer is Senior Public Health Research Scientist at RTI International. Before joining RTI\, she was a Senior Survey Director and oversaw data collection on large national and international health research projects at the University of Michigan. She received a PhD in Epidemiology from the University of Michigan and a Master of Public Health from the University of Texas. She has extensive experience in population-based data collection\, cross-sectional and longitudinal health surveys\, and adapting clinical measures and new technology in health research. Her substantive areas of research have focused on the association between health behaviors\, such as sleep and diet quality\, and the development of chronic health conditions. UID:148256-21903484@events.umich.edu URL:https://events.umich.edu/event/148256 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131309 DTSTART;TZID=America/Detroit:20260514T100000 DTEND;TZID=America/Detroit:20260514T150000 SUMMARY:Class / Instruction:June 1-5\, 2026 Course - Introduction to the Health and Retirement Study (HRS) Workshop DESCRIPTION:June 1-5\, 2026 M-F\n10:00am - $3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nIntroduction to the Health and Retirement Study (HRS) Workshop\n\nThe Health and Retirement Study (hrs.isr.umich.edu) workshop is intended to give participants an introduction to the study that will enable them to get started using the data for research. HRS is a large-scale longitudinal study with more than 20 years of data on the labor force participation and health transitions that individuals undergo toward the end of their work lives and in the years that follow. This online workshop is intended for users who have little to no experience using HRS data.\n\nContent lectures delivered by HRS co-investigators and content area experts on basic survey content\, sample design\, weighting\, and restricted data files will be available on the course website for viewing ahead of time. During the week of the workshop\, each content lecturer will participate in a Zoom meeting with the class to answer questions about their lecture. The majority of each day will be devoted to data labs in which participants will gain experience using the data\, with a strong focus on introductory data management and simple data analysis.\n\nAmanda Sonnega\, PhD\, is a Research Scientist in the Survey Research Center of the Institute for Social Research (ISR) at the University of Michigan (UM)\, where she is responsible for integrating communication\, outreach\, and education efforts for the Health and Retirement Study. She received her doctorate through the Department of Health\, Behavior\, and Society at the Johns Hopkins University and completed a postdoctoral fellowship within the ISR program in Social Environment and Health. Dr. Sonnega has lectured in the UM School of Public Health on psychosocial factors in health-related behavior. Her research focuses on life course trajectories of physical and mental health\; institutional and personal factors associated with vulnerability and resilience in aging individuals\; and work transitions and their broad effects on health and well-being. UID:148257-21903465@events.umich.edu URL:https://events.umich.edu/event/148257 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131053 DTSTART;TZID=America/Detroit:20260514T130000 DTEND;TZID=America/Detroit:20260514T160000 SUMMARY:Class / Instruction:June 1-5 Course - Introduction to Qualitative Research Methods DESCRIPTION:June 1-5\, 2026\, M-F\n1:00-4:00pm \nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nIntroduction to Qualitative Research Methods\n\nThis introductory course provides students with a strong foundation in qualitative research\, covering principles of qualitative research\, study design including participant recruitment and sample size estimation. Students also learn how to design and conduct core data collection methods - in-depth interviews\, focus groups\, and observation – and a range of field tasks such as transcription and field training. Then writing and critiquing qualitative methods for academic work. The course is highly interactive\, emphasizing both the principles and skill development through applied activities. The course needs a minimum of 6 registrants and has an enrollment capacity of 10. \n\nDr. Monique Hennink is Professor in the Hubert Department of Global Health in the Rollins School of Public Health and Associated Faculty in Sociology at Emory University. She is also Visiting Professor at University of Michigan\, Department of Epidemiology\, and Instructor at the University of Columbia's EPISUMMER program in Epidemiology. She earned her PhD in Demography in the United Kingdom.\n\nDr Hennink was indicted into Emory’s MilliPub Club in 2023 and 2024 for two research papers. This honors faculty authors of a scientific publication with over 1\,000 citations - considered high impact scholarship. She received the 2020 Provost’s Distinguished Teaching Award for Excellence in Graduate and Professional Education at Emory University. She also received the 'Excellence in Research' Award in 2019 and the 'Excellence in Teaching' Award in 2016 at the Rollins School of Public Health.\n\nShe has particular expertise in applying qualitative research to examine public health issues. She has 30 years’ experience in the design\, conduct\, analysis\, and publication of qualitative health research. She has authored five textbooks on qualitative research\, including: Qualitative Research Methods 2nd edition (2020)\; Focus Group Discussions (2014)\, Qualitative Research Methods (2011) (also translated into Chinese) and International Focus Group Discussions (2007). She teaches graduate-level courses in qualitative research at Emory University. She developed the 'QUAL-WORKS' (https://sph.emory.edu/qual-works) training program in 2013 for public health professionals. Her courses\, workshops and books reflect the application of qualitative methods in globally diverse settings and provide guidance on how to balance methodological rigor with the practical realities of global research. She has also published on various methodological aspects of qualitative research\, such as using interpreters and translators in qualitative data collection\; the effect of using court reporters on data quality\; estimating sample size in qualitative studies\; and highlighting emerging methodological issues in focus group research. She has served as a board member for SAGE Publications on their ‘Cases in Methodology’ work and on the editorial board of the International Journal of Multiple Research Approaches. She co-chaired a three-year scientific panel for the International Union of the Scientific Study of Population (IUSSP)\, on ‘Qualitative Research in Population Studies’ which had a mandate to promote rigor in the use of qualitative methods in the discipline. She has led scientific sessions on qualitative research at key professional forums\, such as: International Congress of Qualitative Inquiry\; International Institute for Qualitative Methods\; European Association of Population Studies\; and the International Union for the Scientific Study of Population.\n\nTextbook Information: Hennink\, Hutter & Bailey (2020) 2nd Ed. Qualitative Research Methods. Sage Publications\; Ritchie et al (2014) Qualitative Research Practice: A Guide for Social Science Students & Researchers. Second Edition\; Emerson et al (2011) Writing Ethnographic Fieldnotes\; Rubin & Rubin (2012) Qualitative Interviewing. The Art of Hearing Data. Third Edition\; Hennink (2014) Focus Group Discussions. Oxford University Press UID:148255-21903503@events.umich.edu URL:https://events.umich.edu/event/148255 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260514T130000 DTEND;TZID=America/Detroit:20260514T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903523@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130858 DTSTART;TZID=America/Detroit:20260515T100000 DTEND;TZID=America/Detroit:20260515T130000 SUMMARY:Class / Instruction:June 1-10\, 2026 MWF Course - Data Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences DESCRIPTION:June 1-10\, 2026 MWF\n10:00am - 1:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nData Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences\n\nThe recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals\, in real time\, and may also reduce participant burden. In this course\, we will provide examples of the utility of and integration of wearables\, sensors\, and apps in research settings. Examples will include the use of wearable health devices to measure activity\, apps for ecological momentary assessment\, and smartphone sensors to measure sound and movement\, among others. Additionally\, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage\, participation\, and measurement error when integrating wearables\, sensors\, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.\n\nHeidi Guyer is Senior Public Health Research Scientist at RTI International. Before joining RTI\, she was a Senior Survey Director and oversaw data collection on large national and international health research projects at the University of Michigan. She received a PhD in Epidemiology from the University of Michigan and a Master of Public Health from the University of Texas. She has extensive experience in population-based data collection\, cross-sectional and longitudinal health surveys\, and adapting clinical measures and new technology in health research. Her substantive areas of research have focused on the association between health behaviors\, such as sleep and diet quality\, and the development of chronic health conditions. UID:148256-21903485@events.umich.edu URL:https://events.umich.edu/event/148256 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131309 DTSTART;TZID=America/Detroit:20260515T100000 DTEND;TZID=America/Detroit:20260515T150000 SUMMARY:Class / Instruction:June 1-5\, 2026 Course - Introduction to the Health and Retirement Study (HRS) Workshop DESCRIPTION:June 1-5\, 2026 M-F\n10:00am - $3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nIntroduction to the Health and Retirement Study (HRS) Workshop\n\nThe Health and Retirement Study (hrs.isr.umich.edu) workshop is intended to give participants an introduction to the study that will enable them to get started using the data for research. HRS is a large-scale longitudinal study with more than 20 years of data on the labor force participation and health transitions that individuals undergo toward the end of their work lives and in the years that follow. This online workshop is intended for users who have little to no experience using HRS data.\n\nContent lectures delivered by HRS co-investigators and content area experts on basic survey content\, sample design\, weighting\, and restricted data files will be available on the course website for viewing ahead of time. During the week of the workshop\, each content lecturer will participate in a Zoom meeting with the class to answer questions about their lecture. The majority of each day will be devoted to data labs in which participants will gain experience using the data\, with a strong focus on introductory data management and simple data analysis.\n\nAmanda Sonnega\, PhD\, is a Research Scientist in the Survey Research Center of the Institute for Social Research (ISR) at the University of Michigan (UM)\, where she is responsible for integrating communication\, outreach\, and education efforts for the Health and Retirement Study. She received her doctorate through the Department of Health\, Behavior\, and Society at the Johns Hopkins University and completed a postdoctoral fellowship within the ISR program in Social Environment and Health. Dr. Sonnega has lectured in the UM School of Public Health on psychosocial factors in health-related behavior. Her research focuses on life course trajectories of physical and mental health\; institutional and personal factors associated with vulnerability and resilience in aging individuals\; and work transitions and their broad effects on health and well-being. UID:148257-21903466@events.umich.edu URL:https://events.umich.edu/event/148257 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131053 DTSTART;TZID=America/Detroit:20260515T130000 DTEND;TZID=America/Detroit:20260515T160000 SUMMARY:Class / Instruction:June 1-5 Course - Introduction to Qualitative Research Methods DESCRIPTION:June 1-5\, 2026\, M-F\n1:00-4:00pm \nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nIntroduction to Qualitative Research Methods\n\nThis introductory course provides students with a strong foundation in qualitative research\, covering principles of qualitative research\, study design including participant recruitment and sample size estimation. Students also learn how to design and conduct core data collection methods - in-depth interviews\, focus groups\, and observation – and a range of field tasks such as transcription and field training. Then writing and critiquing qualitative methods for academic work. The course is highly interactive\, emphasizing both the principles and skill development through applied activities. The course needs a minimum of 6 registrants and has an enrollment capacity of 10. \n\nDr. Monique Hennink is Professor in the Hubert Department of Global Health in the Rollins School of Public Health and Associated Faculty in Sociology at Emory University. She is also Visiting Professor at University of Michigan\, Department of Epidemiology\, and Instructor at the University of Columbia's EPISUMMER program in Epidemiology. She earned her PhD in Demography in the United Kingdom.\n\nDr Hennink was indicted into Emory’s MilliPub Club in 2023 and 2024 for two research papers. This honors faculty authors of a scientific publication with over 1\,000 citations - considered high impact scholarship. She received the 2020 Provost’s Distinguished Teaching Award for Excellence in Graduate and Professional Education at Emory University. She also received the 'Excellence in Research' Award in 2019 and the 'Excellence in Teaching' Award in 2016 at the Rollins School of Public Health.\n\nShe has particular expertise in applying qualitative research to examine public health issues. She has 30 years’ experience in the design\, conduct\, analysis\, and publication of qualitative health research. She has authored five textbooks on qualitative research\, including: Qualitative Research Methods 2nd edition (2020)\; Focus Group Discussions (2014)\, Qualitative Research Methods (2011) (also translated into Chinese) and International Focus Group Discussions (2007). She teaches graduate-level courses in qualitative research at Emory University. She developed the 'QUAL-WORKS' (https://sph.emory.edu/qual-works) training program in 2013 for public health professionals. Her courses\, workshops and books reflect the application of qualitative methods in globally diverse settings and provide guidance on how to balance methodological rigor with the practical realities of global research. She has also published on various methodological aspects of qualitative research\, such as using interpreters and translators in qualitative data collection\; the effect of using court reporters on data quality\; estimating sample size in qualitative studies\; and highlighting emerging methodological issues in focus group research. She has served as a board member for SAGE Publications on their ‘Cases in Methodology’ work and on the editorial board of the International Journal of Multiple Research Approaches. She co-chaired a three-year scientific panel for the International Union of the Scientific Study of Population (IUSSP)\, on ‘Qualitative Research in Population Studies’ which had a mandate to promote rigor in the use of qualitative methods in the discipline. She has led scientific sessions on qualitative research at key professional forums\, such as: International Congress of Qualitative Inquiry\; International Institute for Qualitative Methods\; European Association of Population Studies\; and the International Union for the Scientific Study of Population.\n\nTextbook Information: Hennink\, Hutter & Bailey (2020) 2nd Ed. Qualitative Research Methods. Sage Publications\; Ritchie et al (2014) Qualitative Research Practice: A Guide for Social Science Students & Researchers. Second Edition\; Emerson et al (2011) Writing Ethnographic Fieldnotes\; Rubin & Rubin (2012) Qualitative Interviewing. The Art of Hearing Data. Third Edition\; Hennink (2014) Focus Group Discussions. Oxford University Press UID:148255-21903504@events.umich.edu URL:https://events.umich.edu/event/148255 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260515T130000 DTEND;TZID=America/Detroit:20260515T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903524@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130858 DTSTART;TZID=America/Detroit:20260516T100000 DTEND;TZID=America/Detroit:20260516T130000 SUMMARY:Class / Instruction:June 1-10\, 2026 MWF Course - Data Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences DESCRIPTION:June 1-10\, 2026 MWF\n10:00am - 1:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nData Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences\n\nThe recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals\, in real time\, and may also reduce participant burden. In this course\, we will provide examples of the utility of and integration of wearables\, sensors\, and apps in research settings. Examples will include the use of wearable health devices to measure activity\, apps for ecological momentary assessment\, and smartphone sensors to measure sound and movement\, among others. Additionally\, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage\, participation\, and measurement error when integrating wearables\, sensors\, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.\n\nHeidi Guyer is Senior Public Health Research Scientist at RTI International. Before joining RTI\, she was a Senior Survey Director and oversaw data collection on large national and international health research projects at the University of Michigan. She received a PhD in Epidemiology from the University of Michigan and a Master of Public Health from the University of Texas. She has extensive experience in population-based data collection\, cross-sectional and longitudinal health surveys\, and adapting clinical measures and new technology in health research. Her substantive areas of research have focused on the association between health behaviors\, such as sleep and diet quality\, and the development of chronic health conditions. UID:148256-21903486@events.umich.edu URL:https://events.umich.edu/event/148256 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131309 DTSTART;TZID=America/Detroit:20260516T100000 DTEND;TZID=America/Detroit:20260516T150000 SUMMARY:Class / Instruction:June 1-5\, 2026 Course - Introduction to the Health and Retirement Study (HRS) Workshop DESCRIPTION:June 1-5\, 2026 M-F\n10:00am - $3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nIntroduction to the Health and Retirement Study (HRS) Workshop\n\nThe Health and Retirement Study (hrs.isr.umich.edu) workshop is intended to give participants an introduction to the study that will enable them to get started using the data for research. HRS is a large-scale longitudinal study with more than 20 years of data on the labor force participation and health transitions that individuals undergo toward the end of their work lives and in the years that follow. This online workshop is intended for users who have little to no experience using HRS data.\n\nContent lectures delivered by HRS co-investigators and content area experts on basic survey content\, sample design\, weighting\, and restricted data files will be available on the course website for viewing ahead of time. During the week of the workshop\, each content lecturer will participate in a Zoom meeting with the class to answer questions about their lecture. The majority of each day will be devoted to data labs in which participants will gain experience using the data\, with a strong focus on introductory data management and simple data analysis.\n\nAmanda Sonnega\, PhD\, is a Research Scientist in the Survey Research Center of the Institute for Social Research (ISR) at the University of Michigan (UM)\, where she is responsible for integrating communication\, outreach\, and education efforts for the Health and Retirement Study. She received her doctorate through the Department of Health\, Behavior\, and Society at the Johns Hopkins University and completed a postdoctoral fellowship within the ISR program in Social Environment and Health. Dr. Sonnega has lectured in the UM School of Public Health on psychosocial factors in health-related behavior. Her research focuses on life course trajectories of physical and mental health\; institutional and personal factors associated with vulnerability and resilience in aging individuals\; and work transitions and their broad effects on health and well-being. UID:148257-21903467@events.umich.edu URL:https://events.umich.edu/event/148257 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131053 DTSTART;TZID=America/Detroit:20260516T130000 DTEND;TZID=America/Detroit:20260516T160000 SUMMARY:Class / Instruction:June 1-5 Course - Introduction to Qualitative Research Methods DESCRIPTION:June 1-5\, 2026\, M-F\n1:00-4:00pm \nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nIntroduction to Qualitative Research Methods\n\nThis introductory course provides students with a strong foundation in qualitative research\, covering principles of qualitative research\, study design including participant recruitment and sample size estimation. Students also learn how to design and conduct core data collection methods - in-depth interviews\, focus groups\, and observation – and a range of field tasks such as transcription and field training. Then writing and critiquing qualitative methods for academic work. The course is highly interactive\, emphasizing both the principles and skill development through applied activities. The course needs a minimum of 6 registrants and has an enrollment capacity of 10. \n\nDr. Monique Hennink is Professor in the Hubert Department of Global Health in the Rollins School of Public Health and Associated Faculty in Sociology at Emory University. She is also Visiting Professor at University of Michigan\, Department of Epidemiology\, and Instructor at the University of Columbia's EPISUMMER program in Epidemiology. She earned her PhD in Demography in the United Kingdom.\n\nDr Hennink was indicted into Emory’s MilliPub Club in 2023 and 2024 for two research papers. This honors faculty authors of a scientific publication with over 1\,000 citations - considered high impact scholarship. She received the 2020 Provost’s Distinguished Teaching Award for Excellence in Graduate and Professional Education at Emory University. She also received the 'Excellence in Research' Award in 2019 and the 'Excellence in Teaching' Award in 2016 at the Rollins School of Public Health.\n\nShe has particular expertise in applying qualitative research to examine public health issues. She has 30 years’ experience in the design\, conduct\, analysis\, and publication of qualitative health research. She has authored five textbooks on qualitative research\, including: Qualitative Research Methods 2nd edition (2020)\; Focus Group Discussions (2014)\, Qualitative Research Methods (2011) (also translated into Chinese) and International Focus Group Discussions (2007). She teaches graduate-level courses in qualitative research at Emory University. She developed the 'QUAL-WORKS' (https://sph.emory.edu/qual-works) training program in 2013 for public health professionals. Her courses\, workshops and books reflect the application of qualitative methods in globally diverse settings and provide guidance on how to balance methodological rigor with the practical realities of global research. She has also published on various methodological aspects of qualitative research\, such as using interpreters and translators in qualitative data collection\; the effect of using court reporters on data quality\; estimating sample size in qualitative studies\; and highlighting emerging methodological issues in focus group research. She has served as a board member for SAGE Publications on their ‘Cases in Methodology’ work and on the editorial board of the International Journal of Multiple Research Approaches. She co-chaired a three-year scientific panel for the International Union of the Scientific Study of Population (IUSSP)\, on ‘Qualitative Research in Population Studies’ which had a mandate to promote rigor in the use of qualitative methods in the discipline. She has led scientific sessions on qualitative research at key professional forums\, such as: International Congress of Qualitative Inquiry\; International Institute for Qualitative Methods\; European Association of Population Studies\; and the International Union for the Scientific Study of Population.\n\nTextbook Information: Hennink\, Hutter & Bailey (2020) 2nd Ed. Qualitative Research Methods. Sage Publications\; Ritchie et al (2014) Qualitative Research Practice: A Guide for Social Science Students & Researchers. Second Edition\; Emerson et al (2011) Writing Ethnographic Fieldnotes\; Rubin & Rubin (2012) Qualitative Interviewing. The Art of Hearing Data. Third Edition\; Hennink (2014) Focus Group Discussions. Oxford University Press UID:148255-21903505@events.umich.edu URL:https://events.umich.edu/event/148255 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260516T130000 DTEND;TZID=America/Detroit:20260516T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903525@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130858 DTSTART;TZID=America/Detroit:20260517T100000 DTEND;TZID=America/Detroit:20260517T130000 SUMMARY:Class / Instruction:June 1-10\, 2026 MWF Course - Data Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences DESCRIPTION:June 1-10\, 2026 MWF\n10:00am - 1:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nData Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences\n\nThe recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals\, in real time\, and may also reduce participant burden. In this course\, we will provide examples of the utility of and integration of wearables\, sensors\, and apps in research settings. Examples will include the use of wearable health devices to measure activity\, apps for ecological momentary assessment\, and smartphone sensors to measure sound and movement\, among others. Additionally\, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage\, participation\, and measurement error when integrating wearables\, sensors\, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.\n\nHeidi Guyer is Senior Public Health Research Scientist at RTI International. Before joining RTI\, she was a Senior Survey Director and oversaw data collection on large national and international health research projects at the University of Michigan. She received a PhD in Epidemiology from the University of Michigan and a Master of Public Health from the University of Texas. She has extensive experience in population-based data collection\, cross-sectional and longitudinal health surveys\, and adapting clinical measures and new technology in health research. Her substantive areas of research have focused on the association between health behaviors\, such as sleep and diet quality\, and the development of chronic health conditions. UID:148256-21903487@events.umich.edu URL:https://events.umich.edu/event/148256 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131309 DTSTART;TZID=America/Detroit:20260517T100000 DTEND;TZID=America/Detroit:20260517T150000 SUMMARY:Class / Instruction:June 1-5\, 2026 Course - Introduction to the Health and Retirement Study (HRS) Workshop DESCRIPTION:June 1-5\, 2026 M-F\n10:00am - $3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nIntroduction to the Health and Retirement Study (HRS) Workshop\n\nThe Health and Retirement Study (hrs.isr.umich.edu) workshop is intended to give participants an introduction to the study that will enable them to get started using the data for research. HRS is a large-scale longitudinal study with more than 20 years of data on the labor force participation and health transitions that individuals undergo toward the end of their work lives and in the years that follow. This online workshop is intended for users who have little to no experience using HRS data.\n\nContent lectures delivered by HRS co-investigators and content area experts on basic survey content\, sample design\, weighting\, and restricted data files will be available on the course website for viewing ahead of time. During the week of the workshop\, each content lecturer will participate in a Zoom meeting with the class to answer questions about their lecture. The majority of each day will be devoted to data labs in which participants will gain experience using the data\, with a strong focus on introductory data management and simple data analysis.\n\nAmanda Sonnega\, PhD\, is a Research Scientist in the Survey Research Center of the Institute for Social Research (ISR) at the University of Michigan (UM)\, where she is responsible for integrating communication\, outreach\, and education efforts for the Health and Retirement Study. She received her doctorate through the Department of Health\, Behavior\, and Society at the Johns Hopkins University and completed a postdoctoral fellowship within the ISR program in Social Environment and Health. Dr. Sonnega has lectured in the UM School of Public Health on psychosocial factors in health-related behavior. Her research focuses on life course trajectories of physical and mental health\; institutional and personal factors associated with vulnerability and resilience in aging individuals\; and work transitions and their broad effects on health and well-being. UID:148257-21903468@events.umich.edu URL:https://events.umich.edu/event/148257 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131053 DTSTART;TZID=America/Detroit:20260517T130000 DTEND;TZID=America/Detroit:20260517T160000 SUMMARY:Class / Instruction:June 1-5 Course - Introduction to Qualitative Research Methods DESCRIPTION:June 1-5\, 2026\, M-F\n1:00-4:00pm \nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nIntroduction to Qualitative Research Methods\n\nThis introductory course provides students with a strong foundation in qualitative research\, covering principles of qualitative research\, study design including participant recruitment and sample size estimation. Students also learn how to design and conduct core data collection methods - in-depth interviews\, focus groups\, and observation – and a range of field tasks such as transcription and field training. Then writing and critiquing qualitative methods for academic work. The course is highly interactive\, emphasizing both the principles and skill development through applied activities. The course needs a minimum of 6 registrants and has an enrollment capacity of 10. \n\nDr. Monique Hennink is Professor in the Hubert Department of Global Health in the Rollins School of Public Health and Associated Faculty in Sociology at Emory University. She is also Visiting Professor at University of Michigan\, Department of Epidemiology\, and Instructor at the University of Columbia's EPISUMMER program in Epidemiology. She earned her PhD in Demography in the United Kingdom.\n\nDr Hennink was indicted into Emory’s MilliPub Club in 2023 and 2024 for two research papers. This honors faculty authors of a scientific publication with over 1\,000 citations - considered high impact scholarship. She received the 2020 Provost’s Distinguished Teaching Award for Excellence in Graduate and Professional Education at Emory University. She also received the 'Excellence in Research' Award in 2019 and the 'Excellence in Teaching' Award in 2016 at the Rollins School of Public Health.\n\nShe has particular expertise in applying qualitative research to examine public health issues. She has 30 years’ experience in the design\, conduct\, analysis\, and publication of qualitative health research. She has authored five textbooks on qualitative research\, including: Qualitative Research Methods 2nd edition (2020)\; Focus Group Discussions (2014)\, Qualitative Research Methods (2011) (also translated into Chinese) and International Focus Group Discussions (2007). She teaches graduate-level courses in qualitative research at Emory University. She developed the 'QUAL-WORKS' (https://sph.emory.edu/qual-works) training program in 2013 for public health professionals. Her courses\, workshops and books reflect the application of qualitative methods in globally diverse settings and provide guidance on how to balance methodological rigor with the practical realities of global research. She has also published on various methodological aspects of qualitative research\, such as using interpreters and translators in qualitative data collection\; the effect of using court reporters on data quality\; estimating sample size in qualitative studies\; and highlighting emerging methodological issues in focus group research. She has served as a board member for SAGE Publications on their ‘Cases in Methodology’ work and on the editorial board of the International Journal of Multiple Research Approaches. She co-chaired a three-year scientific panel for the International Union of the Scientific Study of Population (IUSSP)\, on ‘Qualitative Research in Population Studies’ which had a mandate to promote rigor in the use of qualitative methods in the discipline. She has led scientific sessions on qualitative research at key professional forums\, such as: International Congress of Qualitative Inquiry\; International Institute for Qualitative Methods\; European Association of Population Studies\; and the International Union for the Scientific Study of Population.\n\nTextbook Information: Hennink\, Hutter & Bailey (2020) 2nd Ed. Qualitative Research Methods. Sage Publications\; Ritchie et al (2014) Qualitative Research Practice: A Guide for Social Science Students & Researchers. Second Edition\; Emerson et al (2011) Writing Ethnographic Fieldnotes\; Rubin & Rubin (2012) Qualitative Interviewing. The Art of Hearing Data. Third Edition\; Hennink (2014) Focus Group Discussions. Oxford University Press UID:148255-21903506@events.umich.edu URL:https://events.umich.edu/event/148255 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260517T130000 DTEND;TZID=America/Detroit:20260517T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903526@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130858 DTSTART;TZID=America/Detroit:20260518T100000 DTEND;TZID=America/Detroit:20260518T130000 SUMMARY:Class / Instruction:June 1-10\, 2026 MWF Course - Data Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences DESCRIPTION:June 1-10\, 2026 MWF\n10:00am - 1:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nData Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences\n\nThe recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals\, in real time\, and may also reduce participant burden. In this course\, we will provide examples of the utility of and integration of wearables\, sensors\, and apps in research settings. Examples will include the use of wearable health devices to measure activity\, apps for ecological momentary assessment\, and smartphone sensors to measure sound and movement\, among others. Additionally\, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage\, participation\, and measurement error when integrating wearables\, sensors\, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.\n\nHeidi Guyer is Senior Public Health Research Scientist at RTI International. Before joining RTI\, she was a Senior Survey Director and oversaw data collection on large national and international health research projects at the University of Michigan. She received a PhD in Epidemiology from the University of Michigan and a Master of Public Health from the University of Texas. She has extensive experience in population-based data collection\, cross-sectional and longitudinal health surveys\, and adapting clinical measures and new technology in health research. Her substantive areas of research have focused on the association between health behaviors\, such as sleep and diet quality\, and the development of chronic health conditions. UID:148256-21903488@events.umich.edu URL:https://events.umich.edu/event/148256 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131309 DTSTART;TZID=America/Detroit:20260518T100000 DTEND;TZID=America/Detroit:20260518T150000 SUMMARY:Class / Instruction:June 1-5\, 2026 Course - Introduction to the Health and Retirement Study (HRS) Workshop DESCRIPTION:June 1-5\, 2026 M-F\n10:00am - $3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nIntroduction to the Health and Retirement Study (HRS) Workshop\n\nThe Health and Retirement Study (hrs.isr.umich.edu) workshop is intended to give participants an introduction to the study that will enable them to get started using the data for research. HRS is a large-scale longitudinal study with more than 20 years of data on the labor force participation and health transitions that individuals undergo toward the end of their work lives and in the years that follow. This online workshop is intended for users who have little to no experience using HRS data.\n\nContent lectures delivered by HRS co-investigators and content area experts on basic survey content\, sample design\, weighting\, and restricted data files will be available on the course website for viewing ahead of time. During the week of the workshop\, each content lecturer will participate in a Zoom meeting with the class to answer questions about their lecture. The majority of each day will be devoted to data labs in which participants will gain experience using the data\, with a strong focus on introductory data management and simple data analysis.\n\nAmanda Sonnega\, PhD\, is a Research Scientist in the Survey Research Center of the Institute for Social Research (ISR) at the University of Michigan (UM)\, where she is responsible for integrating communication\, outreach\, and education efforts for the Health and Retirement Study. She received her doctorate through the Department of Health\, Behavior\, and Society at the Johns Hopkins University and completed a postdoctoral fellowship within the ISR program in Social Environment and Health. Dr. Sonnega has lectured in the UM School of Public Health on psychosocial factors in health-related behavior. Her research focuses on life course trajectories of physical and mental health\; institutional and personal factors associated with vulnerability and resilience in aging individuals\; and work transitions and their broad effects on health and well-being. UID:148257-21903469@events.umich.edu URL:https://events.umich.edu/event/148257 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131053 DTSTART;TZID=America/Detroit:20260518T130000 DTEND;TZID=America/Detroit:20260518T160000 SUMMARY:Class / Instruction:June 1-5 Course - Introduction to Qualitative Research Methods DESCRIPTION:June 1-5\, 2026\, M-F\n1:00-4:00pm \nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nIntroduction to Qualitative Research Methods\n\nThis introductory course provides students with a strong foundation in qualitative research\, covering principles of qualitative research\, study design including participant recruitment and sample size estimation. Students also learn how to design and conduct core data collection methods - in-depth interviews\, focus groups\, and observation – and a range of field tasks such as transcription and field training. Then writing and critiquing qualitative methods for academic work. The course is highly interactive\, emphasizing both the principles and skill development through applied activities. The course needs a minimum of 6 registrants and has an enrollment capacity of 10. \n\nDr. Monique Hennink is Professor in the Hubert Department of Global Health in the Rollins School of Public Health and Associated Faculty in Sociology at Emory University. She is also Visiting Professor at University of Michigan\, Department of Epidemiology\, and Instructor at the University of Columbia's EPISUMMER program in Epidemiology. She earned her PhD in Demography in the United Kingdom.\n\nDr Hennink was indicted into Emory’s MilliPub Club in 2023 and 2024 for two research papers. This honors faculty authors of a scientific publication with over 1\,000 citations - considered high impact scholarship. She received the 2020 Provost’s Distinguished Teaching Award for Excellence in Graduate and Professional Education at Emory University. She also received the 'Excellence in Research' Award in 2019 and the 'Excellence in Teaching' Award in 2016 at the Rollins School of Public Health.\n\nShe has particular expertise in applying qualitative research to examine public health issues. She has 30 years’ experience in the design\, conduct\, analysis\, and publication of qualitative health research. She has authored five textbooks on qualitative research\, including: Qualitative Research Methods 2nd edition (2020)\; Focus Group Discussions (2014)\, Qualitative Research Methods (2011) (also translated into Chinese) and International Focus Group Discussions (2007). She teaches graduate-level courses in qualitative research at Emory University. She developed the 'QUAL-WORKS' (https://sph.emory.edu/qual-works) training program in 2013 for public health professionals. Her courses\, workshops and books reflect the application of qualitative methods in globally diverse settings and provide guidance on how to balance methodological rigor with the practical realities of global research. She has also published on various methodological aspects of qualitative research\, such as using interpreters and translators in qualitative data collection\; the effect of using court reporters on data quality\; estimating sample size in qualitative studies\; and highlighting emerging methodological issues in focus group research. She has served as a board member for SAGE Publications on their ‘Cases in Methodology’ work and on the editorial board of the International Journal of Multiple Research Approaches. She co-chaired a three-year scientific panel for the International Union of the Scientific Study of Population (IUSSP)\, on ‘Qualitative Research in Population Studies’ which had a mandate to promote rigor in the use of qualitative methods in the discipline. She has led scientific sessions on qualitative research at key professional forums\, such as: International Congress of Qualitative Inquiry\; International Institute for Qualitative Methods\; European Association of Population Studies\; and the International Union for the Scientific Study of Population.\n\nTextbook Information: Hennink\, Hutter & Bailey (2020) 2nd Ed. Qualitative Research Methods. Sage Publications\; Ritchie et al (2014) Qualitative Research Practice: A Guide for Social Science Students & Researchers. Second Edition\; Emerson et al (2011) Writing Ethnographic Fieldnotes\; Rubin & Rubin (2012) Qualitative Interviewing. The Art of Hearing Data. Third Edition\; Hennink (2014) Focus Group Discussions. Oxford University Press UID:148255-21903507@events.umich.edu URL:https://events.umich.edu/event/148255 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260518T130000 DTEND;TZID=America/Detroit:20260518T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903527@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130858 DTSTART;TZID=America/Detroit:20260519T100000 DTEND;TZID=America/Detroit:20260519T130000 SUMMARY:Class / Instruction:June 1-10\, 2026 MWF Course - Data Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences DESCRIPTION:June 1-10\, 2026 MWF\n10:00am - 1:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nData Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences\n\nThe recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals\, in real time\, and may also reduce participant burden. In this course\, we will provide examples of the utility of and integration of wearables\, sensors\, and apps in research settings. Examples will include the use of wearable health devices to measure activity\, apps for ecological momentary assessment\, and smartphone sensors to measure sound and movement\, among others. Additionally\, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage\, participation\, and measurement error when integrating wearables\, sensors\, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.\n\nHeidi Guyer is Senior Public Health Research Scientist at RTI International. Before joining RTI\, she was a Senior Survey Director and oversaw data collection on large national and international health research projects at the University of Michigan. She received a PhD in Epidemiology from the University of Michigan and a Master of Public Health from the University of Texas. She has extensive experience in population-based data collection\, cross-sectional and longitudinal health surveys\, and adapting clinical measures and new technology in health research. Her substantive areas of research have focused on the association between health behaviors\, such as sleep and diet quality\, and the development of chronic health conditions. UID:148256-21903489@events.umich.edu URL:https://events.umich.edu/event/148256 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131309 DTSTART;TZID=America/Detroit:20260519T100000 DTEND;TZID=America/Detroit:20260519T150000 SUMMARY:Class / Instruction:June 1-5\, 2026 Course - Introduction to the Health and Retirement Study (HRS) Workshop DESCRIPTION:June 1-5\, 2026 M-F\n10:00am - $3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nIntroduction to the Health and Retirement Study (HRS) Workshop\n\nThe Health and Retirement Study (hrs.isr.umich.edu) workshop is intended to give participants an introduction to the study that will enable them to get started using the data for research. HRS is a large-scale longitudinal study with more than 20 years of data on the labor force participation and health transitions that individuals undergo toward the end of their work lives and in the years that follow. This online workshop is intended for users who have little to no experience using HRS data.\n\nContent lectures delivered by HRS co-investigators and content area experts on basic survey content\, sample design\, weighting\, and restricted data files will be available on the course website for viewing ahead of time. During the week of the workshop\, each content lecturer will participate in a Zoom meeting with the class to answer questions about their lecture. The majority of each day will be devoted to data labs in which participants will gain experience using the data\, with a strong focus on introductory data management and simple data analysis.\n\nAmanda Sonnega\, PhD\, is a Research Scientist in the Survey Research Center of the Institute for Social Research (ISR) at the University of Michigan (UM)\, where she is responsible for integrating communication\, outreach\, and education efforts for the Health and Retirement Study. She received her doctorate through the Department of Health\, Behavior\, and Society at the Johns Hopkins University and completed a postdoctoral fellowship within the ISR program in Social Environment and Health. Dr. Sonnega has lectured in the UM School of Public Health on psychosocial factors in health-related behavior. Her research focuses on life course trajectories of physical and mental health\; institutional and personal factors associated with vulnerability and resilience in aging individuals\; and work transitions and their broad effects on health and well-being. UID:148257-21903470@events.umich.edu URL:https://events.umich.edu/event/148257 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131053 DTSTART;TZID=America/Detroit:20260519T130000 DTEND;TZID=America/Detroit:20260519T160000 SUMMARY:Class / Instruction:June 1-5 Course - Introduction to Qualitative Research Methods DESCRIPTION:June 1-5\, 2026\, M-F\n1:00-4:00pm \nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nIntroduction to Qualitative Research Methods\n\nThis introductory course provides students with a strong foundation in qualitative research\, covering principles of qualitative research\, study design including participant recruitment and sample size estimation. Students also learn how to design and conduct core data collection methods - in-depth interviews\, focus groups\, and observation – and a range of field tasks such as transcription and field training. Then writing and critiquing qualitative methods for academic work. The course is highly interactive\, emphasizing both the principles and skill development through applied activities. The course needs a minimum of 6 registrants and has an enrollment capacity of 10. \n\nDr. Monique Hennink is Professor in the Hubert Department of Global Health in the Rollins School of Public Health and Associated Faculty in Sociology at Emory University. She is also Visiting Professor at University of Michigan\, Department of Epidemiology\, and Instructor at the University of Columbia's EPISUMMER program in Epidemiology. She earned her PhD in Demography in the United Kingdom.\n\nDr Hennink was indicted into Emory’s MilliPub Club in 2023 and 2024 for two research papers. This honors faculty authors of a scientific publication with over 1\,000 citations - considered high impact scholarship. She received the 2020 Provost’s Distinguished Teaching Award for Excellence in Graduate and Professional Education at Emory University. She also received the 'Excellence in Research' Award in 2019 and the 'Excellence in Teaching' Award in 2016 at the Rollins School of Public Health.\n\nShe has particular expertise in applying qualitative research to examine public health issues. She has 30 years’ experience in the design\, conduct\, analysis\, and publication of qualitative health research. She has authored five textbooks on qualitative research\, including: Qualitative Research Methods 2nd edition (2020)\; Focus Group Discussions (2014)\, Qualitative Research Methods (2011) (also translated into Chinese) and International Focus Group Discussions (2007). She teaches graduate-level courses in qualitative research at Emory University. She developed the 'QUAL-WORKS' (https://sph.emory.edu/qual-works) training program in 2013 for public health professionals. Her courses\, workshops and books reflect the application of qualitative methods in globally diverse settings and provide guidance on how to balance methodological rigor with the practical realities of global research. She has also published on various methodological aspects of qualitative research\, such as using interpreters and translators in qualitative data collection\; the effect of using court reporters on data quality\; estimating sample size in qualitative studies\; and highlighting emerging methodological issues in focus group research. She has served as a board member for SAGE Publications on their ‘Cases in Methodology’ work and on the editorial board of the International Journal of Multiple Research Approaches. She co-chaired a three-year scientific panel for the International Union of the Scientific Study of Population (IUSSP)\, on ‘Qualitative Research in Population Studies’ which had a mandate to promote rigor in the use of qualitative methods in the discipline. She has led scientific sessions on qualitative research at key professional forums\, such as: International Congress of Qualitative Inquiry\; International Institute for Qualitative Methods\; European Association of Population Studies\; and the International Union for the Scientific Study of Population.\n\nTextbook Information: Hennink\, Hutter & Bailey (2020) 2nd Ed. Qualitative Research Methods. Sage Publications\; Ritchie et al (2014) Qualitative Research Practice: A Guide for Social Science Students & Researchers. Second Edition\; Emerson et al (2011) Writing Ethnographic Fieldnotes\; Rubin & Rubin (2012) Qualitative Interviewing. The Art of Hearing Data. Third Edition\; Hennink (2014) Focus Group Discussions. Oxford University Press UID:148255-21903508@events.umich.edu URL:https://events.umich.edu/event/148255 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260519T130000 DTEND;TZID=America/Detroit:20260519T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903528@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130858 DTSTART;TZID=America/Detroit:20260520T100000 DTEND;TZID=America/Detroit:20260520T130000 SUMMARY:Class / Instruction:June 1-10\, 2026 MWF Course - Data Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences DESCRIPTION:June 1-10\, 2026 MWF\n10:00am - 1:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nData Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences\n\nThe recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals\, in real time\, and may also reduce participant burden. In this course\, we will provide examples of the utility of and integration of wearables\, sensors\, and apps in research settings. Examples will include the use of wearable health devices to measure activity\, apps for ecological momentary assessment\, and smartphone sensors to measure sound and movement\, among others. Additionally\, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage\, participation\, and measurement error when integrating wearables\, sensors\, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.\n\nHeidi Guyer is Senior Public Health Research Scientist at RTI International. Before joining RTI\, she was a Senior Survey Director and oversaw data collection on large national and international health research projects at the University of Michigan. She received a PhD in Epidemiology from the University of Michigan and a Master of Public Health from the University of Texas. She has extensive experience in population-based data collection\, cross-sectional and longitudinal health surveys\, and adapting clinical measures and new technology in health research. Her substantive areas of research have focused on the association between health behaviors\, such as sleep and diet quality\, and the development of chronic health conditions. UID:148256-21903490@events.umich.edu URL:https://events.umich.edu/event/148256 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131309 DTSTART;TZID=America/Detroit:20260520T100000 DTEND;TZID=America/Detroit:20260520T150000 SUMMARY:Class / Instruction:June 1-5\, 2026 Course - Introduction to the Health and Retirement Study (HRS) Workshop DESCRIPTION:June 1-5\, 2026 M-F\n10:00am - $3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nIntroduction to the Health and Retirement Study (HRS) Workshop\n\nThe Health and Retirement Study (hrs.isr.umich.edu) workshop is intended to give participants an introduction to the study that will enable them to get started using the data for research. HRS is a large-scale longitudinal study with more than 20 years of data on the labor force participation and health transitions that individuals undergo toward the end of their work lives and in the years that follow. This online workshop is intended for users who have little to no experience using HRS data.\n\nContent lectures delivered by HRS co-investigators and content area experts on basic survey content\, sample design\, weighting\, and restricted data files will be available on the course website for viewing ahead of time. During the week of the workshop\, each content lecturer will participate in a Zoom meeting with the class to answer questions about their lecture. The majority of each day will be devoted to data labs in which participants will gain experience using the data\, with a strong focus on introductory data management and simple data analysis.\n\nAmanda Sonnega\, PhD\, is a Research Scientist in the Survey Research Center of the Institute for Social Research (ISR) at the University of Michigan (UM)\, where she is responsible for integrating communication\, outreach\, and education efforts for the Health and Retirement Study. She received her doctorate through the Department of Health\, Behavior\, and Society at the Johns Hopkins University and completed a postdoctoral fellowship within the ISR program in Social Environment and Health. Dr. Sonnega has lectured in the UM School of Public Health on psychosocial factors in health-related behavior. Her research focuses on life course trajectories of physical and mental health\; institutional and personal factors associated with vulnerability and resilience in aging individuals\; and work transitions and their broad effects on health and well-being. UID:148257-21903463@events.umich.edu URL:https://events.umich.edu/event/148257 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131309 DTSTART;TZID=America/Detroit:20260520T100000 DTEND;TZID=America/Detroit:20260520T150000 SUMMARY:Class / Instruction:June 1-5\, 2026 Course - Introduction to the Health and Retirement Study (HRS) Workshop DESCRIPTION:June 1-5\, 2026 M-F\n10:00am - $3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nIntroduction to the Health and Retirement Study (HRS) Workshop\n\nThe Health and Retirement Study (hrs.isr.umich.edu) workshop is intended to give participants an introduction to the study that will enable them to get started using the data for research. HRS is a large-scale longitudinal study with more than 20 years of data on the labor force participation and health transitions that individuals undergo toward the end of their work lives and in the years that follow. This online workshop is intended for users who have little to no experience using HRS data.\n\nContent lectures delivered by HRS co-investigators and content area experts on basic survey content\, sample design\, weighting\, and restricted data files will be available on the course website for viewing ahead of time. During the week of the workshop\, each content lecturer will participate in a Zoom meeting with the class to answer questions about their lecture. The majority of each day will be devoted to data labs in which participants will gain experience using the data\, with a strong focus on introductory data management and simple data analysis.\n\nAmanda Sonnega\, PhD\, is a Research Scientist in the Survey Research Center of the Institute for Social Research (ISR) at the University of Michigan (UM)\, where she is responsible for integrating communication\, outreach\, and education efforts for the Health and Retirement Study. She received her doctorate through the Department of Health\, Behavior\, and Society at the Johns Hopkins University and completed a postdoctoral fellowship within the ISR program in Social Environment and Health. Dr. Sonnega has lectured in the UM School of Public Health on psychosocial factors in health-related behavior. Her research focuses on life course trajectories of physical and mental health\; institutional and personal factors associated with vulnerability and resilience in aging individuals\; and work transitions and their broad effects on health and well-being. UID:148257-21903471@events.umich.edu URL:https://events.umich.edu/event/148257 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260518T091901 DTSTART;TZID=America/Detroit:20260520T120000 DTEND;TZID=America/Detroit:20260520T133000 SUMMARY:Presentation:Healthier Babies\, Stronger Communities: A Review of Rx Kids’ Research and Impact on Families and Communities DESCRIPTION:Join us for a webinar that examines the evidence behind Rx Kids\, offering insights into how community-wide\, prenatal and infant cash prescriptions affect maternal and infant health\, family stability\, and community outcomes.\n\nPlease register ahead of time for this event: https://msu.zoom.us/webinar/register/WN_Rz7BcAkwSaGGfR9q4cMWKg#/registration\n\nExplore Rx Kids research: https://rxkids.org/impact/ UID:148225-21903340@events.umich.edu URL:https://events.umich.edu/event/148225 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131053 DTSTART;TZID=America/Detroit:20260520T130000 DTEND;TZID=America/Detroit:20260520T160000 SUMMARY:Class / Instruction:June 1-5 Course - Introduction to Qualitative Research Methods DESCRIPTION:June 1-5\, 2026\, M-F\n1:00-4:00pm \nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nIntroduction to Qualitative Research Methods\n\nThis introductory course provides students with a strong foundation in qualitative research\, covering principles of qualitative research\, study design including participant recruitment and sample size estimation. Students also learn how to design and conduct core data collection methods - in-depth interviews\, focus groups\, and observation – and a range of field tasks such as transcription and field training. Then writing and critiquing qualitative methods for academic work. The course is highly interactive\, emphasizing both the principles and skill development through applied activities. The course needs a minimum of 6 registrants and has an enrollment capacity of 10. \n\nDr. Monique Hennink is Professor in the Hubert Department of Global Health in the Rollins School of Public Health and Associated Faculty in Sociology at Emory University. She is also Visiting Professor at University of Michigan\, Department of Epidemiology\, and Instructor at the University of Columbia's EPISUMMER program in Epidemiology. She earned her PhD in Demography in the United Kingdom.\n\nDr Hennink was indicted into Emory’s MilliPub Club in 2023 and 2024 for two research papers. This honors faculty authors of a scientific publication with over 1\,000 citations - considered high impact scholarship. She received the 2020 Provost’s Distinguished Teaching Award for Excellence in Graduate and Professional Education at Emory University. She also received the 'Excellence in Research' Award in 2019 and the 'Excellence in Teaching' Award in 2016 at the Rollins School of Public Health.\n\nShe has particular expertise in applying qualitative research to examine public health issues. She has 30 years’ experience in the design\, conduct\, analysis\, and publication of qualitative health research. She has authored five textbooks on qualitative research\, including: Qualitative Research Methods 2nd edition (2020)\; Focus Group Discussions (2014)\, Qualitative Research Methods (2011) (also translated into Chinese) and International Focus Group Discussions (2007). She teaches graduate-level courses in qualitative research at Emory University. She developed the 'QUAL-WORKS' (https://sph.emory.edu/qual-works) training program in 2013 for public health professionals. Her courses\, workshops and books reflect the application of qualitative methods in globally diverse settings and provide guidance on how to balance methodological rigor with the practical realities of global research. She has also published on various methodological aspects of qualitative research\, such as using interpreters and translators in qualitative data collection\; the effect of using court reporters on data quality\; estimating sample size in qualitative studies\; and highlighting emerging methodological issues in focus group research. She has served as a board member for SAGE Publications on their ‘Cases in Methodology’ work and on the editorial board of the International Journal of Multiple Research Approaches. She co-chaired a three-year scientific panel for the International Union of the Scientific Study of Population (IUSSP)\, on ‘Qualitative Research in Population Studies’ which had a mandate to promote rigor in the use of qualitative methods in the discipline. She has led scientific sessions on qualitative research at key professional forums\, such as: International Congress of Qualitative Inquiry\; International Institute for Qualitative Methods\; European Association of Population Studies\; and the International Union for the Scientific Study of Population.\n\nTextbook Information: Hennink\, Hutter & Bailey (2020) 2nd Ed. Qualitative Research Methods. Sage Publications\; Ritchie et al (2014) Qualitative Research Practice: A Guide for Social Science Students & Researchers. Second Edition\; Emerson et al (2011) Writing Ethnographic Fieldnotes\; Rubin & Rubin (2012) Qualitative Interviewing. The Art of Hearing Data. Third Edition\; Hennink (2014) Focus Group Discussions. Oxford University Press UID:148255-21903509@events.umich.edu URL:https://events.umich.edu/event/148255 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260520T130000 DTEND;TZID=America/Detroit:20260520T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903529@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130858 DTSTART;TZID=America/Detroit:20260521T100000 DTEND;TZID=America/Detroit:20260521T130000 SUMMARY:Class / Instruction:June 1-10\, 2026 MWF Course - Data Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences DESCRIPTION:June 1-10\, 2026 MWF\n10:00am - 1:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nData Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences\n\nThe recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals\, in real time\, and may also reduce participant burden. In this course\, we will provide examples of the utility of and integration of wearables\, sensors\, and apps in research settings. Examples will include the use of wearable health devices to measure activity\, apps for ecological momentary assessment\, and smartphone sensors to measure sound and movement\, among others. Additionally\, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage\, participation\, and measurement error when integrating wearables\, sensors\, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.\n\nHeidi Guyer is Senior Public Health Research Scientist at RTI International. Before joining RTI\, she was a Senior Survey Director and oversaw data collection on large national and international health research projects at the University of Michigan. She received a PhD in Epidemiology from the University of Michigan and a Master of Public Health from the University of Texas. She has extensive experience in population-based data collection\, cross-sectional and longitudinal health surveys\, and adapting clinical measures and new technology in health research. Her substantive areas of research have focused on the association between health behaviors\, such as sleep and diet quality\, and the development of chronic health conditions. UID:148256-21903491@events.umich.edu URL:https://events.umich.edu/event/148256 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131309 DTSTART;TZID=America/Detroit:20260521T100000 DTEND;TZID=America/Detroit:20260521T150000 SUMMARY:Class / Instruction:June 1-5\, 2026 Course - Introduction to the Health and Retirement Study (HRS) Workshop DESCRIPTION:June 1-5\, 2026 M-F\n10:00am - $3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nIntroduction to the Health and Retirement Study (HRS) Workshop\n\nThe Health and Retirement Study (hrs.isr.umich.edu) workshop is intended to give participants an introduction to the study that will enable them to get started using the data for research. HRS is a large-scale longitudinal study with more than 20 years of data on the labor force participation and health transitions that individuals undergo toward the end of their work lives and in the years that follow. This online workshop is intended for users who have little to no experience using HRS data.\n\nContent lectures delivered by HRS co-investigators and content area experts on basic survey content\, sample design\, weighting\, and restricted data files will be available on the course website for viewing ahead of time. During the week of the workshop\, each content lecturer will participate in a Zoom meeting with the class to answer questions about their lecture. The majority of each day will be devoted to data labs in which participants will gain experience using the data\, with a strong focus on introductory data management and simple data analysis.\n\nAmanda Sonnega\, PhD\, is a Research Scientist in the Survey Research Center of the Institute for Social Research (ISR) at the University of Michigan (UM)\, where she is responsible for integrating communication\, outreach\, and education efforts for the Health and Retirement Study. She received her doctorate through the Department of Health\, Behavior\, and Society at the Johns Hopkins University and completed a postdoctoral fellowship within the ISR program in Social Environment and Health. Dr. Sonnega has lectured in the UM School of Public Health on psychosocial factors in health-related behavior. Her research focuses on life course trajectories of physical and mental health\; institutional and personal factors associated with vulnerability and resilience in aging individuals\; and work transitions and their broad effects on health and well-being. UID:148257-21903472@events.umich.edu URL:https://events.umich.edu/event/148257 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131053 DTSTART;TZID=America/Detroit:20260521T130000 DTEND;TZID=America/Detroit:20260521T160000 SUMMARY:Class / Instruction:June 1-5 Course - Introduction to Qualitative Research Methods DESCRIPTION:June 1-5\, 2026\, M-F\n1:00-4:00pm \nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nIntroduction to Qualitative Research Methods\n\nThis introductory course provides students with a strong foundation in qualitative research\, covering principles of qualitative research\, study design including participant recruitment and sample size estimation. Students also learn how to design and conduct core data collection methods - in-depth interviews\, focus groups\, and observation – and a range of field tasks such as transcription and field training. Then writing and critiquing qualitative methods for academic work. The course is highly interactive\, emphasizing both the principles and skill development through applied activities. The course needs a minimum of 6 registrants and has an enrollment capacity of 10. \n\nDr. Monique Hennink is Professor in the Hubert Department of Global Health in the Rollins School of Public Health and Associated Faculty in Sociology at Emory University. She is also Visiting Professor at University of Michigan\, Department of Epidemiology\, and Instructor at the University of Columbia's EPISUMMER program in Epidemiology. She earned her PhD in Demography in the United Kingdom.\n\nDr Hennink was indicted into Emory’s MilliPub Club in 2023 and 2024 for two research papers. This honors faculty authors of a scientific publication with over 1\,000 citations - considered high impact scholarship. She received the 2020 Provost’s Distinguished Teaching Award for Excellence in Graduate and Professional Education at Emory University. She also received the 'Excellence in Research' Award in 2019 and the 'Excellence in Teaching' Award in 2016 at the Rollins School of Public Health.\n\nShe has particular expertise in applying qualitative research to examine public health issues. She has 30 years’ experience in the design\, conduct\, analysis\, and publication of qualitative health research. She has authored five textbooks on qualitative research\, including: Qualitative Research Methods 2nd edition (2020)\; Focus Group Discussions (2014)\, Qualitative Research Methods (2011) (also translated into Chinese) and International Focus Group Discussions (2007). She teaches graduate-level courses in qualitative research at Emory University. She developed the 'QUAL-WORKS' (https://sph.emory.edu/qual-works) training program in 2013 for public health professionals. Her courses\, workshops and books reflect the application of qualitative methods in globally diverse settings and provide guidance on how to balance methodological rigor with the practical realities of global research. She has also published on various methodological aspects of qualitative research\, such as using interpreters and translators in qualitative data collection\; the effect of using court reporters on data quality\; estimating sample size in qualitative studies\; and highlighting emerging methodological issues in focus group research. She has served as a board member for SAGE Publications on their ‘Cases in Methodology’ work and on the editorial board of the International Journal of Multiple Research Approaches. She co-chaired a three-year scientific panel for the International Union of the Scientific Study of Population (IUSSP)\, on ‘Qualitative Research in Population Studies’ which had a mandate to promote rigor in the use of qualitative methods in the discipline. She has led scientific sessions on qualitative research at key professional forums\, such as: International Congress of Qualitative Inquiry\; International Institute for Qualitative Methods\; European Association of Population Studies\; and the International Union for the Scientific Study of Population.\n\nTextbook Information: Hennink\, Hutter & Bailey (2020) 2nd Ed. Qualitative Research Methods. Sage Publications\; Ritchie et al (2014) Qualitative Research Practice: A Guide for Social Science Students & Researchers. Second Edition\; Emerson et al (2011) Writing Ethnographic Fieldnotes\; Rubin & Rubin (2012) Qualitative Interviewing. The Art of Hearing Data. Third Edition\; Hennink (2014) Focus Group Discussions. Oxford University Press UID:148255-21903510@events.umich.edu URL:https://events.umich.edu/event/148255 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260521T130000 DTEND;TZID=America/Detroit:20260521T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903530@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130858 DTSTART;TZID=America/Detroit:20260522T100000 DTEND;TZID=America/Detroit:20260522T130000 SUMMARY:Class / Instruction:June 1-10\, 2026 MWF Course - Data Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences DESCRIPTION:June 1-10\, 2026 MWF\n10:00am - 1:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nData Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences\n\nThe recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals\, in real time\, and may also reduce participant burden. In this course\, we will provide examples of the utility of and integration of wearables\, sensors\, and apps in research settings. Examples will include the use of wearable health devices to measure activity\, apps for ecological momentary assessment\, and smartphone sensors to measure sound and movement\, among others. Additionally\, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage\, participation\, and measurement error when integrating wearables\, sensors\, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.\n\nHeidi Guyer is Senior Public Health Research Scientist at RTI International. Before joining RTI\, she was a Senior Survey Director and oversaw data collection on large national and international health research projects at the University of Michigan. She received a PhD in Epidemiology from the University of Michigan and a Master of Public Health from the University of Texas. She has extensive experience in population-based data collection\, cross-sectional and longitudinal health surveys\, and adapting clinical measures and new technology in health research. Her substantive areas of research have focused on the association between health behaviors\, such as sleep and diet quality\, and the development of chronic health conditions. UID:148256-21903492@events.umich.edu URL:https://events.umich.edu/event/148256 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131309 DTSTART;TZID=America/Detroit:20260522T100000 DTEND;TZID=America/Detroit:20260522T150000 SUMMARY:Class / Instruction:June 1-5\, 2026 Course - Introduction to the Health and Retirement Study (HRS) Workshop DESCRIPTION:June 1-5\, 2026 M-F\n10:00am - $3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nIntroduction to the Health and Retirement Study (HRS) Workshop\n\nThe Health and Retirement Study (hrs.isr.umich.edu) workshop is intended to give participants an introduction to the study that will enable them to get started using the data for research. HRS is a large-scale longitudinal study with more than 20 years of data on the labor force participation and health transitions that individuals undergo toward the end of their work lives and in the years that follow. This online workshop is intended for users who have little to no experience using HRS data.\n\nContent lectures delivered by HRS co-investigators and content area experts on basic survey content\, sample design\, weighting\, and restricted data files will be available on the course website for viewing ahead of time. During the week of the workshop\, each content lecturer will participate in a Zoom meeting with the class to answer questions about their lecture. The majority of each day will be devoted to data labs in which participants will gain experience using the data\, with a strong focus on introductory data management and simple data analysis.\n\nAmanda Sonnega\, PhD\, is a Research Scientist in the Survey Research Center of the Institute for Social Research (ISR) at the University of Michigan (UM)\, where she is responsible for integrating communication\, outreach\, and education efforts for the Health and Retirement Study. She received her doctorate through the Department of Health\, Behavior\, and Society at the Johns Hopkins University and completed a postdoctoral fellowship within the ISR program in Social Environment and Health. Dr. Sonnega has lectured in the UM School of Public Health on psychosocial factors in health-related behavior. Her research focuses on life course trajectories of physical and mental health\; institutional and personal factors associated with vulnerability and resilience in aging individuals\; and work transitions and their broad effects on health and well-being. UID:148257-21903473@events.umich.edu URL:https://events.umich.edu/event/148257 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131053 DTSTART;TZID=America/Detroit:20260522T130000 DTEND;TZID=America/Detroit:20260522T160000 SUMMARY:Class / Instruction:June 1-5 Course - Introduction to Qualitative Research Methods DESCRIPTION:June 1-5\, 2026\, M-F\n1:00-4:00pm \nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nIntroduction to Qualitative Research Methods\n\nThis introductory course provides students with a strong foundation in qualitative research\, covering principles of qualitative research\, study design including participant recruitment and sample size estimation. Students also learn how to design and conduct core data collection methods - in-depth interviews\, focus groups\, and observation – and a range of field tasks such as transcription and field training. Then writing and critiquing qualitative methods for academic work. The course is highly interactive\, emphasizing both the principles and skill development through applied activities. The course needs a minimum of 6 registrants and has an enrollment capacity of 10. \n\nDr. Monique Hennink is Professor in the Hubert Department of Global Health in the Rollins School of Public Health and Associated Faculty in Sociology at Emory University. She is also Visiting Professor at University of Michigan\, Department of Epidemiology\, and Instructor at the University of Columbia's EPISUMMER program in Epidemiology. She earned her PhD in Demography in the United Kingdom.\n\nDr Hennink was indicted into Emory’s MilliPub Club in 2023 and 2024 for two research papers. This honors faculty authors of a scientific publication with over 1\,000 citations - considered high impact scholarship. She received the 2020 Provost’s Distinguished Teaching Award for Excellence in Graduate and Professional Education at Emory University. She also received the 'Excellence in Research' Award in 2019 and the 'Excellence in Teaching' Award in 2016 at the Rollins School of Public Health.\n\nShe has particular expertise in applying qualitative research to examine public health issues. She has 30 years’ experience in the design\, conduct\, analysis\, and publication of qualitative health research. She has authored five textbooks on qualitative research\, including: Qualitative Research Methods 2nd edition (2020)\; Focus Group Discussions (2014)\, Qualitative Research Methods (2011) (also translated into Chinese) and International Focus Group Discussions (2007). She teaches graduate-level courses in qualitative research at Emory University. She developed the 'QUAL-WORKS' (https://sph.emory.edu/qual-works) training program in 2013 for public health professionals. Her courses\, workshops and books reflect the application of qualitative methods in globally diverse settings and provide guidance on how to balance methodological rigor with the practical realities of global research. She has also published on various methodological aspects of qualitative research\, such as using interpreters and translators in qualitative data collection\; the effect of using court reporters on data quality\; estimating sample size in qualitative studies\; and highlighting emerging methodological issues in focus group research. She has served as a board member for SAGE Publications on their ‘Cases in Methodology’ work and on the editorial board of the International Journal of Multiple Research Approaches. She co-chaired a three-year scientific panel for the International Union of the Scientific Study of Population (IUSSP)\, on ‘Qualitative Research in Population Studies’ which had a mandate to promote rigor in the use of qualitative methods in the discipline. She has led scientific sessions on qualitative research at key professional forums\, such as: International Congress of Qualitative Inquiry\; International Institute for Qualitative Methods\; European Association of Population Studies\; and the International Union for the Scientific Study of Population.\n\nTextbook Information: Hennink\, Hutter & Bailey (2020) 2nd Ed. Qualitative Research Methods. Sage Publications\; Ritchie et al (2014) Qualitative Research Practice: A Guide for Social Science Students & Researchers. Second Edition\; Emerson et al (2011) Writing Ethnographic Fieldnotes\; Rubin & Rubin (2012) Qualitative Interviewing. The Art of Hearing Data. Third Edition\; Hennink (2014) Focus Group Discussions. Oxford University Press UID:148255-21903511@events.umich.edu URL:https://events.umich.edu/event/148255 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260522T130000 DTEND;TZID=America/Detroit:20260522T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903531@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130858 DTSTART;TZID=America/Detroit:20260523T100000 DTEND;TZID=America/Detroit:20260523T130000 SUMMARY:Class / Instruction:June 1-10\, 2026 MWF Course - Data Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences DESCRIPTION:June 1-10\, 2026 MWF\n10:00am - 1:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nData Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences\n\nThe recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals\, in real time\, and may also reduce participant burden. In this course\, we will provide examples of the utility of and integration of wearables\, sensors\, and apps in research settings. Examples will include the use of wearable health devices to measure activity\, apps for ecological momentary assessment\, and smartphone sensors to measure sound and movement\, among others. Additionally\, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage\, participation\, and measurement error when integrating wearables\, sensors\, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.\n\nHeidi Guyer is Senior Public Health Research Scientist at RTI International. Before joining RTI\, she was a Senior Survey Director and oversaw data collection on large national and international health research projects at the University of Michigan. She received a PhD in Epidemiology from the University of Michigan and a Master of Public Health from the University of Texas. She has extensive experience in population-based data collection\, cross-sectional and longitudinal health surveys\, and adapting clinical measures and new technology in health research. Her substantive areas of research have focused on the association between health behaviors\, such as sleep and diet quality\, and the development of chronic health conditions. UID:148256-21903493@events.umich.edu URL:https://events.umich.edu/event/148256 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131309 DTSTART;TZID=America/Detroit:20260523T100000 DTEND;TZID=America/Detroit:20260523T150000 SUMMARY:Class / Instruction:June 1-5\, 2026 Course - Introduction to the Health and Retirement Study (HRS) Workshop DESCRIPTION:June 1-5\, 2026 M-F\n10:00am - $3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nIntroduction to the Health and Retirement Study (HRS) Workshop\n\nThe Health and Retirement Study (hrs.isr.umich.edu) workshop is intended to give participants an introduction to the study that will enable them to get started using the data for research. HRS is a large-scale longitudinal study with more than 20 years of data on the labor force participation and health transitions that individuals undergo toward the end of their work lives and in the years that follow. This online workshop is intended for users who have little to no experience using HRS data.\n\nContent lectures delivered by HRS co-investigators and content area experts on basic survey content\, sample design\, weighting\, and restricted data files will be available on the course website for viewing ahead of time. During the week of the workshop\, each content lecturer will participate in a Zoom meeting with the class to answer questions about their lecture. The majority of each day will be devoted to data labs in which participants will gain experience using the data\, with a strong focus on introductory data management and simple data analysis.\n\nAmanda Sonnega\, PhD\, is a Research Scientist in the Survey Research Center of the Institute for Social Research (ISR) at the University of Michigan (UM)\, where she is responsible for integrating communication\, outreach\, and education efforts for the Health and Retirement Study. She received her doctorate through the Department of Health\, Behavior\, and Society at the Johns Hopkins University and completed a postdoctoral fellowship within the ISR program in Social Environment and Health. Dr. Sonnega has lectured in the UM School of Public Health on psychosocial factors in health-related behavior. Her research focuses on life course trajectories of physical and mental health\; institutional and personal factors associated with vulnerability and resilience in aging individuals\; and work transitions and their broad effects on health and well-being. UID:148257-21903474@events.umich.edu URL:https://events.umich.edu/event/148257 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131053 DTSTART;TZID=America/Detroit:20260523T130000 DTEND;TZID=America/Detroit:20260523T160000 SUMMARY:Class / Instruction:June 1-5 Course - Introduction to Qualitative Research Methods DESCRIPTION:June 1-5\, 2026\, M-F\n1:00-4:00pm \nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nIntroduction to Qualitative Research Methods\n\nThis introductory course provides students with a strong foundation in qualitative research\, covering principles of qualitative research\, study design including participant recruitment and sample size estimation. Students also learn how to design and conduct core data collection methods - in-depth interviews\, focus groups\, and observation – and a range of field tasks such as transcription and field training. Then writing and critiquing qualitative methods for academic work. The course is highly interactive\, emphasizing both the principles and skill development through applied activities. The course needs a minimum of 6 registrants and has an enrollment capacity of 10. \n\nDr. Monique Hennink is Professor in the Hubert Department of Global Health in the Rollins School of Public Health and Associated Faculty in Sociology at Emory University. She is also Visiting Professor at University of Michigan\, Department of Epidemiology\, and Instructor at the University of Columbia's EPISUMMER program in Epidemiology. She earned her PhD in Demography in the United Kingdom.\n\nDr Hennink was indicted into Emory’s MilliPub Club in 2023 and 2024 for two research papers. This honors faculty authors of a scientific publication with over 1\,000 citations - considered high impact scholarship. She received the 2020 Provost’s Distinguished Teaching Award for Excellence in Graduate and Professional Education at Emory University. She also received the 'Excellence in Research' Award in 2019 and the 'Excellence in Teaching' Award in 2016 at the Rollins School of Public Health.\n\nShe has particular expertise in applying qualitative research to examine public health issues. She has 30 years’ experience in the design\, conduct\, analysis\, and publication of qualitative health research. She has authored five textbooks on qualitative research\, including: Qualitative Research Methods 2nd edition (2020)\; Focus Group Discussions (2014)\, Qualitative Research Methods (2011) (also translated into Chinese) and International Focus Group Discussions (2007). She teaches graduate-level courses in qualitative research at Emory University. She developed the 'QUAL-WORKS' (https://sph.emory.edu/qual-works) training program in 2013 for public health professionals. Her courses\, workshops and books reflect the application of qualitative methods in globally diverse settings and provide guidance on how to balance methodological rigor with the practical realities of global research. She has also published on various methodological aspects of qualitative research\, such as using interpreters and translators in qualitative data collection\; the effect of using court reporters on data quality\; estimating sample size in qualitative studies\; and highlighting emerging methodological issues in focus group research. She has served as a board member for SAGE Publications on their ‘Cases in Methodology’ work and on the editorial board of the International Journal of Multiple Research Approaches. She co-chaired a three-year scientific panel for the International Union of the Scientific Study of Population (IUSSP)\, on ‘Qualitative Research in Population Studies’ which had a mandate to promote rigor in the use of qualitative methods in the discipline. She has led scientific sessions on qualitative research at key professional forums\, such as: International Congress of Qualitative Inquiry\; International Institute for Qualitative Methods\; European Association of Population Studies\; and the International Union for the Scientific Study of Population.\n\nTextbook Information: Hennink\, Hutter & Bailey (2020) 2nd Ed. Qualitative Research Methods. Sage Publications\; Ritchie et al (2014) Qualitative Research Practice: A Guide for Social Science Students & Researchers. Second Edition\; Emerson et al (2011) Writing Ethnographic Fieldnotes\; Rubin & Rubin (2012) Qualitative Interviewing. The Art of Hearing Data. Third Edition\; Hennink (2014) Focus Group Discussions. Oxford University Press UID:148255-21903512@events.umich.edu URL:https://events.umich.edu/event/148255 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260523T130000 DTEND;TZID=America/Detroit:20260523T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903532@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130858 DTSTART;TZID=America/Detroit:20260524T100000 DTEND;TZID=America/Detroit:20260524T130000 SUMMARY:Class / Instruction:June 1-10\, 2026 MWF Course - Data Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences DESCRIPTION:June 1-10\, 2026 MWF\n10:00am - 1:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nData Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences\n\nThe recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals\, in real time\, and may also reduce participant burden. In this course\, we will provide examples of the utility of and integration of wearables\, sensors\, and apps in research settings. Examples will include the use of wearable health devices to measure activity\, apps for ecological momentary assessment\, and smartphone sensors to measure sound and movement\, among others. Additionally\, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage\, participation\, and measurement error when integrating wearables\, sensors\, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.\n\nHeidi Guyer is Senior Public Health Research Scientist at RTI International. Before joining RTI\, she was a Senior Survey Director and oversaw data collection on large national and international health research projects at the University of Michigan. She received a PhD in Epidemiology from the University of Michigan and a Master of Public Health from the University of Texas. She has extensive experience in population-based data collection\, cross-sectional and longitudinal health surveys\, and adapting clinical measures and new technology in health research. Her substantive areas of research have focused on the association between health behaviors\, such as sleep and diet quality\, and the development of chronic health conditions. UID:148256-21903494@events.umich.edu URL:https://events.umich.edu/event/148256 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131309 DTSTART;TZID=America/Detroit:20260524T100000 DTEND;TZID=America/Detroit:20260524T150000 SUMMARY:Class / Instruction:June 1-5\, 2026 Course - Introduction to the Health and Retirement Study (HRS) Workshop DESCRIPTION:June 1-5\, 2026 M-F\n10:00am - $3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nIntroduction to the Health and Retirement Study (HRS) Workshop\n\nThe Health and Retirement Study (hrs.isr.umich.edu) workshop is intended to give participants an introduction to the study that will enable them to get started using the data for research. HRS is a large-scale longitudinal study with more than 20 years of data on the labor force participation and health transitions that individuals undergo toward the end of their work lives and in the years that follow. This online workshop is intended for users who have little to no experience using HRS data.\n\nContent lectures delivered by HRS co-investigators and content area experts on basic survey content\, sample design\, weighting\, and restricted data files will be available on the course website for viewing ahead of time. During the week of the workshop\, each content lecturer will participate in a Zoom meeting with the class to answer questions about their lecture. The majority of each day will be devoted to data labs in which participants will gain experience using the data\, with a strong focus on introductory data management and simple data analysis.\n\nAmanda Sonnega\, PhD\, is a Research Scientist in the Survey Research Center of the Institute for Social Research (ISR) at the University of Michigan (UM)\, where she is responsible for integrating communication\, outreach\, and education efforts for the Health and Retirement Study. She received her doctorate through the Department of Health\, Behavior\, and Society at the Johns Hopkins University and completed a postdoctoral fellowship within the ISR program in Social Environment and Health. Dr. Sonnega has lectured in the UM School of Public Health on psychosocial factors in health-related behavior. Her research focuses on life course trajectories of physical and mental health\; institutional and personal factors associated with vulnerability and resilience in aging individuals\; and work transitions and their broad effects on health and well-being. UID:148257-21903475@events.umich.edu URL:https://events.umich.edu/event/148257 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131053 DTSTART;TZID=America/Detroit:20260524T130000 DTEND;TZID=America/Detroit:20260524T160000 SUMMARY:Class / Instruction:June 1-5 Course - Introduction to Qualitative Research Methods DESCRIPTION:June 1-5\, 2026\, M-F\n1:00-4:00pm \nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nIntroduction to Qualitative Research Methods\n\nThis introductory course provides students with a strong foundation in qualitative research\, covering principles of qualitative research\, study design including participant recruitment and sample size estimation. Students also learn how to design and conduct core data collection methods - in-depth interviews\, focus groups\, and observation – and a range of field tasks such as transcription and field training. Then writing and critiquing qualitative methods for academic work. The course is highly interactive\, emphasizing both the principles and skill development through applied activities. The course needs a minimum of 6 registrants and has an enrollment capacity of 10. \n\nDr. Monique Hennink is Professor in the Hubert Department of Global Health in the Rollins School of Public Health and Associated Faculty in Sociology at Emory University. She is also Visiting Professor at University of Michigan\, Department of Epidemiology\, and Instructor at the University of Columbia's EPISUMMER program in Epidemiology. She earned her PhD in Demography in the United Kingdom.\n\nDr Hennink was indicted into Emory’s MilliPub Club in 2023 and 2024 for two research papers. This honors faculty authors of a scientific publication with over 1\,000 citations - considered high impact scholarship. She received the 2020 Provost’s Distinguished Teaching Award for Excellence in Graduate and Professional Education at Emory University. She also received the 'Excellence in Research' Award in 2019 and the 'Excellence in Teaching' Award in 2016 at the Rollins School of Public Health.\n\nShe has particular expertise in applying qualitative research to examine public health issues. She has 30 years’ experience in the design\, conduct\, analysis\, and publication of qualitative health research. She has authored five textbooks on qualitative research\, including: Qualitative Research Methods 2nd edition (2020)\; Focus Group Discussions (2014)\, Qualitative Research Methods (2011) (also translated into Chinese) and International Focus Group Discussions (2007). She teaches graduate-level courses in qualitative research at Emory University. She developed the 'QUAL-WORKS' (https://sph.emory.edu/qual-works) training program in 2013 for public health professionals. Her courses\, workshops and books reflect the application of qualitative methods in globally diverse settings and provide guidance on how to balance methodological rigor with the practical realities of global research. She has also published on various methodological aspects of qualitative research\, such as using interpreters and translators in qualitative data collection\; the effect of using court reporters on data quality\; estimating sample size in qualitative studies\; and highlighting emerging methodological issues in focus group research. She has served as a board member for SAGE Publications on their ‘Cases in Methodology’ work and on the editorial board of the International Journal of Multiple Research Approaches. She co-chaired a three-year scientific panel for the International Union of the Scientific Study of Population (IUSSP)\, on ‘Qualitative Research in Population Studies’ which had a mandate to promote rigor in the use of qualitative methods in the discipline. She has led scientific sessions on qualitative research at key professional forums\, such as: International Congress of Qualitative Inquiry\; International Institute for Qualitative Methods\; European Association of Population Studies\; and the International Union for the Scientific Study of Population.\n\nTextbook Information: Hennink\, Hutter & Bailey (2020) 2nd Ed. Qualitative Research Methods. Sage Publications\; Ritchie et al (2014) Qualitative Research Practice: A Guide for Social Science Students & Researchers. Second Edition\; Emerson et al (2011) Writing Ethnographic Fieldnotes\; Rubin & Rubin (2012) Qualitative Interviewing. The Art of Hearing Data. Third Edition\; Hennink (2014) Focus Group Discussions. Oxford University Press UID:148255-21903513@events.umich.edu URL:https://events.umich.edu/event/148255 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260524T130000 DTEND;TZID=America/Detroit:20260524T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903533@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130858 DTSTART;TZID=America/Detroit:20260525T100000 DTEND;TZID=America/Detroit:20260525T130000 SUMMARY:Class / Instruction:June 1-10\, 2026 MWF Course - Data Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences DESCRIPTION:June 1-10\, 2026 MWF\n10:00am - 1:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nData Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences\n\nThe recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals\, in real time\, and may also reduce participant burden. In this course\, we will provide examples of the utility of and integration of wearables\, sensors\, and apps in research settings. Examples will include the use of wearable health devices to measure activity\, apps for ecological momentary assessment\, and smartphone sensors to measure sound and movement\, among others. Additionally\, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage\, participation\, and measurement error when integrating wearables\, sensors\, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.\n\nHeidi Guyer is Senior Public Health Research Scientist at RTI International. Before joining RTI\, she was a Senior Survey Director and oversaw data collection on large national and international health research projects at the University of Michigan. She received a PhD in Epidemiology from the University of Michigan and a Master of Public Health from the University of Texas. She has extensive experience in population-based data collection\, cross-sectional and longitudinal health surveys\, and adapting clinical measures and new technology in health research. Her substantive areas of research have focused on the association between health behaviors\, such as sleep and diet quality\, and the development of chronic health conditions. UID:148256-21903495@events.umich.edu URL:https://events.umich.edu/event/148256 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131309 DTSTART;TZID=America/Detroit:20260525T100000 DTEND;TZID=America/Detroit:20260525T150000 SUMMARY:Class / Instruction:June 1-5\, 2026 Course - Introduction to the Health and Retirement Study (HRS) Workshop DESCRIPTION:June 1-5\, 2026 M-F\n10:00am - $3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nIntroduction to the Health and Retirement Study (HRS) Workshop\n\nThe Health and Retirement Study (hrs.isr.umich.edu) workshop is intended to give participants an introduction to the study that will enable them to get started using the data for research. HRS is a large-scale longitudinal study with more than 20 years of data on the labor force participation and health transitions that individuals undergo toward the end of their work lives and in the years that follow. This online workshop is intended for users who have little to no experience using HRS data.\n\nContent lectures delivered by HRS co-investigators and content area experts on basic survey content\, sample design\, weighting\, and restricted data files will be available on the course website for viewing ahead of time. During the week of the workshop\, each content lecturer will participate in a Zoom meeting with the class to answer questions about their lecture. The majority of each day will be devoted to data labs in which participants will gain experience using the data\, with a strong focus on introductory data management and simple data analysis.\n\nAmanda Sonnega\, PhD\, is a Research Scientist in the Survey Research Center of the Institute for Social Research (ISR) at the University of Michigan (UM)\, where she is responsible for integrating communication\, outreach\, and education efforts for the Health and Retirement Study. She received her doctorate through the Department of Health\, Behavior\, and Society at the Johns Hopkins University and completed a postdoctoral fellowship within the ISR program in Social Environment and Health. Dr. Sonnega has lectured in the UM School of Public Health on psychosocial factors in health-related behavior. Her research focuses on life course trajectories of physical and mental health\; institutional and personal factors associated with vulnerability and resilience in aging individuals\; and work transitions and their broad effects on health and well-being. UID:148257-21903476@events.umich.edu URL:https://events.umich.edu/event/148257 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131053 DTSTART;TZID=America/Detroit:20260525T130000 DTEND;TZID=America/Detroit:20260525T160000 SUMMARY:Class / Instruction:June 1-5 Course - Introduction to Qualitative Research Methods DESCRIPTION:June 1-5\, 2026\, M-F\n1:00-4:00pm \nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nIntroduction to Qualitative Research Methods\n\nThis introductory course provides students with a strong foundation in qualitative research\, covering principles of qualitative research\, study design including participant recruitment and sample size estimation. Students also learn how to design and conduct core data collection methods - in-depth interviews\, focus groups\, and observation – and a range of field tasks such as transcription and field training. Then writing and critiquing qualitative methods for academic work. The course is highly interactive\, emphasizing both the principles and skill development through applied activities. The course needs a minimum of 6 registrants and has an enrollment capacity of 10. \n\nDr. Monique Hennink is Professor in the Hubert Department of Global Health in the Rollins School of Public Health and Associated Faculty in Sociology at Emory University. She is also Visiting Professor at University of Michigan\, Department of Epidemiology\, and Instructor at the University of Columbia's EPISUMMER program in Epidemiology. She earned her PhD in Demography in the United Kingdom.\n\nDr Hennink was indicted into Emory’s MilliPub Club in 2023 and 2024 for two research papers. This honors faculty authors of a scientific publication with over 1\,000 citations - considered high impact scholarship. She received the 2020 Provost’s Distinguished Teaching Award for Excellence in Graduate and Professional Education at Emory University. She also received the 'Excellence in Research' Award in 2019 and the 'Excellence in Teaching' Award in 2016 at the Rollins School of Public Health.\n\nShe has particular expertise in applying qualitative research to examine public health issues. She has 30 years’ experience in the design\, conduct\, analysis\, and publication of qualitative health research. She has authored five textbooks on qualitative research\, including: Qualitative Research Methods 2nd edition (2020)\; Focus Group Discussions (2014)\, Qualitative Research Methods (2011) (also translated into Chinese) and International Focus Group Discussions (2007). She teaches graduate-level courses in qualitative research at Emory University. She developed the 'QUAL-WORKS' (https://sph.emory.edu/qual-works) training program in 2013 for public health professionals. Her courses\, workshops and books reflect the application of qualitative methods in globally diverse settings and provide guidance on how to balance methodological rigor with the practical realities of global research. She has also published on various methodological aspects of qualitative research\, such as using interpreters and translators in qualitative data collection\; the effect of using court reporters on data quality\; estimating sample size in qualitative studies\; and highlighting emerging methodological issues in focus group research. She has served as a board member for SAGE Publications on their ‘Cases in Methodology’ work and on the editorial board of the International Journal of Multiple Research Approaches. She co-chaired a three-year scientific panel for the International Union of the Scientific Study of Population (IUSSP)\, on ‘Qualitative Research in Population Studies’ which had a mandate to promote rigor in the use of qualitative methods in the discipline. She has led scientific sessions on qualitative research at key professional forums\, such as: International Congress of Qualitative Inquiry\; International Institute for Qualitative Methods\; European Association of Population Studies\; and the International Union for the Scientific Study of Population.\n\nTextbook Information: Hennink\, Hutter & Bailey (2020) 2nd Ed. Qualitative Research Methods. Sage Publications\; Ritchie et al (2014) Qualitative Research Practice: A Guide for Social Science Students & Researchers. Second Edition\; Emerson et al (2011) Writing Ethnographic Fieldnotes\; Rubin & Rubin (2012) Qualitative Interviewing. The Art of Hearing Data. Third Edition\; Hennink (2014) Focus Group Discussions. Oxford University Press UID:148255-21903514@events.umich.edu URL:https://events.umich.edu/event/148255 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260525T130000 DTEND;TZID=America/Detroit:20260525T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903534@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130858 DTSTART;TZID=America/Detroit:20260526T100000 DTEND;TZID=America/Detroit:20260526T130000 SUMMARY:Class / Instruction:June 1-10\, 2026 MWF Course - Data Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences DESCRIPTION:June 1-10\, 2026 MWF\n10:00am - 1:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nData Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences\n\nThe recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals\, in real time\, and may also reduce participant burden. In this course\, we will provide examples of the utility of and integration of wearables\, sensors\, and apps in research settings. Examples will include the use of wearable health devices to measure activity\, apps for ecological momentary assessment\, and smartphone sensors to measure sound and movement\, among others. Additionally\, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage\, participation\, and measurement error when integrating wearables\, sensors\, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.\n\nHeidi Guyer is Senior Public Health Research Scientist at RTI International. Before joining RTI\, she was a Senior Survey Director and oversaw data collection on large national and international health research projects at the University of Michigan. She received a PhD in Epidemiology from the University of Michigan and a Master of Public Health from the University of Texas. She has extensive experience in population-based data collection\, cross-sectional and longitudinal health surveys\, and adapting clinical measures and new technology in health research. Her substantive areas of research have focused on the association between health behaviors\, such as sleep and diet quality\, and the development of chronic health conditions. UID:148256-21903496@events.umich.edu URL:https://events.umich.edu/event/148256 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131309 DTSTART;TZID=America/Detroit:20260526T100000 DTEND;TZID=America/Detroit:20260526T150000 SUMMARY:Class / Instruction:June 1-5\, 2026 Course - Introduction to the Health and Retirement Study (HRS) Workshop DESCRIPTION:June 1-5\, 2026 M-F\n10:00am - $3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nIntroduction to the Health and Retirement Study (HRS) Workshop\n\nThe Health and Retirement Study (hrs.isr.umich.edu) workshop is intended to give participants an introduction to the study that will enable them to get started using the data for research. HRS is a large-scale longitudinal study with more than 20 years of data on the labor force participation and health transitions that individuals undergo toward the end of their work lives and in the years that follow. This online workshop is intended for users who have little to no experience using HRS data.\n\nContent lectures delivered by HRS co-investigators and content area experts on basic survey content\, sample design\, weighting\, and restricted data files will be available on the course website for viewing ahead of time. During the week of the workshop\, each content lecturer will participate in a Zoom meeting with the class to answer questions about their lecture. The majority of each day will be devoted to data labs in which participants will gain experience using the data\, with a strong focus on introductory data management and simple data analysis.\n\nAmanda Sonnega\, PhD\, is a Research Scientist in the Survey Research Center of the Institute for Social Research (ISR) at the University of Michigan (UM)\, where she is responsible for integrating communication\, outreach\, and education efforts for the Health and Retirement Study. She received her doctorate through the Department of Health\, Behavior\, and Society at the Johns Hopkins University and completed a postdoctoral fellowship within the ISR program in Social Environment and Health. Dr. Sonnega has lectured in the UM School of Public Health on psychosocial factors in health-related behavior. Her research focuses on life course trajectories of physical and mental health\; institutional and personal factors associated with vulnerability and resilience in aging individuals\; and work transitions and their broad effects on health and well-being. UID:148257-21903477@events.umich.edu URL:https://events.umich.edu/event/148257 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131053 DTSTART;TZID=America/Detroit:20260526T130000 DTEND;TZID=America/Detroit:20260526T160000 SUMMARY:Class / Instruction:June 1-5 Course - Introduction to Qualitative Research Methods DESCRIPTION:June 1-5\, 2026\, M-F\n1:00-4:00pm \nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nIntroduction to Qualitative Research Methods\n\nThis introductory course provides students with a strong foundation in qualitative research\, covering principles of qualitative research\, study design including participant recruitment and sample size estimation. Students also learn how to design and conduct core data collection methods - in-depth interviews\, focus groups\, and observation – and a range of field tasks such as transcription and field training. Then writing and critiquing qualitative methods for academic work. The course is highly interactive\, emphasizing both the principles and skill development through applied activities. The course needs a minimum of 6 registrants and has an enrollment capacity of 10. \n\nDr. Monique Hennink is Professor in the Hubert Department of Global Health in the Rollins School of Public Health and Associated Faculty in Sociology at Emory University. She is also Visiting Professor at University of Michigan\, Department of Epidemiology\, and Instructor at the University of Columbia's EPISUMMER program in Epidemiology. She earned her PhD in Demography in the United Kingdom.\n\nDr Hennink was indicted into Emory’s MilliPub Club in 2023 and 2024 for two research papers. This honors faculty authors of a scientific publication with over 1\,000 citations - considered high impact scholarship. She received the 2020 Provost’s Distinguished Teaching Award for Excellence in Graduate and Professional Education at Emory University. She also received the 'Excellence in Research' Award in 2019 and the 'Excellence in Teaching' Award in 2016 at the Rollins School of Public Health.\n\nShe has particular expertise in applying qualitative research to examine public health issues. She has 30 years’ experience in the design\, conduct\, analysis\, and publication of qualitative health research. She has authored five textbooks on qualitative research\, including: Qualitative Research Methods 2nd edition (2020)\; Focus Group Discussions (2014)\, Qualitative Research Methods (2011) (also translated into Chinese) and International Focus Group Discussions (2007). She teaches graduate-level courses in qualitative research at Emory University. She developed the 'QUAL-WORKS' (https://sph.emory.edu/qual-works) training program in 2013 for public health professionals. Her courses\, workshops and books reflect the application of qualitative methods in globally diverse settings and provide guidance on how to balance methodological rigor with the practical realities of global research. She has also published on various methodological aspects of qualitative research\, such as using interpreters and translators in qualitative data collection\; the effect of using court reporters on data quality\; estimating sample size in qualitative studies\; and highlighting emerging methodological issues in focus group research. She has served as a board member for SAGE Publications on their ‘Cases in Methodology’ work and on the editorial board of the International Journal of Multiple Research Approaches. She co-chaired a three-year scientific panel for the International Union of the Scientific Study of Population (IUSSP)\, on ‘Qualitative Research in Population Studies’ which had a mandate to promote rigor in the use of qualitative methods in the discipline. She has led scientific sessions on qualitative research at key professional forums\, such as: International Congress of Qualitative Inquiry\; International Institute for Qualitative Methods\; European Association of Population Studies\; and the International Union for the Scientific Study of Population.\n\nTextbook Information: Hennink\, Hutter & Bailey (2020) 2nd Ed. Qualitative Research Methods. Sage Publications\; Ritchie et al (2014) Qualitative Research Practice: A Guide for Social Science Students & Researchers. Second Edition\; Emerson et al (2011) Writing Ethnographic Fieldnotes\; Rubin & Rubin (2012) Qualitative Interviewing. The Art of Hearing Data. Third Edition\; Hennink (2014) Focus Group Discussions. Oxford University Press UID:148255-21903515@events.umich.edu URL:https://events.umich.edu/event/148255 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260526T130000 DTEND;TZID=America/Detroit:20260526T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903535@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130858 DTSTART;TZID=America/Detroit:20260527T100000 DTEND;TZID=America/Detroit:20260527T130000 SUMMARY:Class / Instruction:June 1-10\, 2026 MWF Course - Data Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences DESCRIPTION:June 1-10\, 2026 MWF\n10:00am - 1:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nData Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences\n\nThe recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals\, in real time\, and may also reduce participant burden. In this course\, we will provide examples of the utility of and integration of wearables\, sensors\, and apps in research settings. Examples will include the use of wearable health devices to measure activity\, apps for ecological momentary assessment\, and smartphone sensors to measure sound and movement\, among others. Additionally\, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage\, participation\, and measurement error when integrating wearables\, sensors\, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.\n\nHeidi Guyer is Senior Public Health Research Scientist at RTI International. Before joining RTI\, she was a Senior Survey Director and oversaw data collection on large national and international health research projects at the University of Michigan. She received a PhD in Epidemiology from the University of Michigan and a Master of Public Health from the University of Texas. She has extensive experience in population-based data collection\, cross-sectional and longitudinal health surveys\, and adapting clinical measures and new technology in health research. Her substantive areas of research have focused on the association between health behaviors\, such as sleep and diet quality\, and the development of chronic health conditions. UID:148256-21903497@events.umich.edu URL:https://events.umich.edu/event/148256 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131309 DTSTART;TZID=America/Detroit:20260527T100000 DTEND;TZID=America/Detroit:20260527T150000 SUMMARY:Class / Instruction:June 1-5\, 2026 Course - Introduction to the Health and Retirement Study (HRS) Workshop DESCRIPTION:June 1-5\, 2026 M-F\n10:00am - $3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nIntroduction to the Health and Retirement Study (HRS) Workshop\n\nThe Health and Retirement Study (hrs.isr.umich.edu) workshop is intended to give participants an introduction to the study that will enable them to get started using the data for research. HRS is a large-scale longitudinal study with more than 20 years of data on the labor force participation and health transitions that individuals undergo toward the end of their work lives and in the years that follow. This online workshop is intended for users who have little to no experience using HRS data.\n\nContent lectures delivered by HRS co-investigators and content area experts on basic survey content\, sample design\, weighting\, and restricted data files will be available on the course website for viewing ahead of time. During the week of the workshop\, each content lecturer will participate in a Zoom meeting with the class to answer questions about their lecture. The majority of each day will be devoted to data labs in which participants will gain experience using the data\, with a strong focus on introductory data management and simple data analysis.\n\nAmanda Sonnega\, PhD\, is a Research Scientist in the Survey Research Center of the Institute for Social Research (ISR) at the University of Michigan (UM)\, where she is responsible for integrating communication\, outreach\, and education efforts for the Health and Retirement Study. She received her doctorate through the Department of Health\, Behavior\, and Society at the Johns Hopkins University and completed a postdoctoral fellowship within the ISR program in Social Environment and Health. Dr. Sonnega has lectured in the UM School of Public Health on psychosocial factors in health-related behavior. Her research focuses on life course trajectories of physical and mental health\; institutional and personal factors associated with vulnerability and resilience in aging individuals\; and work transitions and their broad effects on health and well-being. UID:148257-21903464@events.umich.edu URL:https://events.umich.edu/event/148257 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131309 DTSTART;TZID=America/Detroit:20260527T100000 DTEND;TZID=America/Detroit:20260527T150000 SUMMARY:Class / Instruction:June 1-5\, 2026 Course - Introduction to the Health and Retirement Study (HRS) Workshop DESCRIPTION:June 1-5\, 2026 M-F\n10:00am - $3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nIntroduction to the Health and Retirement Study (HRS) Workshop\n\nThe Health and Retirement Study (hrs.isr.umich.edu) workshop is intended to give participants an introduction to the study that will enable them to get started using the data for research. HRS is a large-scale longitudinal study with more than 20 years of data on the labor force participation and health transitions that individuals undergo toward the end of their work lives and in the years that follow. This online workshop is intended for users who have little to no experience using HRS data.\n\nContent lectures delivered by HRS co-investigators and content area experts on basic survey content\, sample design\, weighting\, and restricted data files will be available on the course website for viewing ahead of time. During the week of the workshop\, each content lecturer will participate in a Zoom meeting with the class to answer questions about their lecture. The majority of each day will be devoted to data labs in which participants will gain experience using the data\, with a strong focus on introductory data management and simple data analysis.\n\nAmanda Sonnega\, PhD\, is a Research Scientist in the Survey Research Center of the Institute for Social Research (ISR) at the University of Michigan (UM)\, where she is responsible for integrating communication\, outreach\, and education efforts for the Health and Retirement Study. She received her doctorate through the Department of Health\, Behavior\, and Society at the Johns Hopkins University and completed a postdoctoral fellowship within the ISR program in Social Environment and Health. Dr. Sonnega has lectured in the UM School of Public Health on psychosocial factors in health-related behavior. Her research focuses on life course trajectories of physical and mental health\; institutional and personal factors associated with vulnerability and resilience in aging individuals\; and work transitions and their broad effects on health and well-being. UID:148257-21903478@events.umich.edu URL:https://events.umich.edu/event/148257 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131053 DTSTART;TZID=America/Detroit:20260527T130000 DTEND;TZID=America/Detroit:20260527T160000 SUMMARY:Class / Instruction:June 1-5 Course - Introduction to Qualitative Research Methods DESCRIPTION:June 1-5\, 2026\, M-F\n1:00-4:00pm \nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nIntroduction to Qualitative Research Methods\n\nThis introductory course provides students with a strong foundation in qualitative research\, covering principles of qualitative research\, study design including participant recruitment and sample size estimation. Students also learn how to design and conduct core data collection methods - in-depth interviews\, focus groups\, and observation – and a range of field tasks such as transcription and field training. Then writing and critiquing qualitative methods for academic work. The course is highly interactive\, emphasizing both the principles and skill development through applied activities. The course needs a minimum of 6 registrants and has an enrollment capacity of 10. \n\nDr. Monique Hennink is Professor in the Hubert Department of Global Health in the Rollins School of Public Health and Associated Faculty in Sociology at Emory University. She is also Visiting Professor at University of Michigan\, Department of Epidemiology\, and Instructor at the University of Columbia's EPISUMMER program in Epidemiology. She earned her PhD in Demography in the United Kingdom.\n\nDr Hennink was indicted into Emory’s MilliPub Club in 2023 and 2024 for two research papers. This honors faculty authors of a scientific publication with over 1\,000 citations - considered high impact scholarship. She received the 2020 Provost’s Distinguished Teaching Award for Excellence in Graduate and Professional Education at Emory University. She also received the 'Excellence in Research' Award in 2019 and the 'Excellence in Teaching' Award in 2016 at the Rollins School of Public Health.\n\nShe has particular expertise in applying qualitative research to examine public health issues. She has 30 years’ experience in the design\, conduct\, analysis\, and publication of qualitative health research. She has authored five textbooks on qualitative research\, including: Qualitative Research Methods 2nd edition (2020)\; Focus Group Discussions (2014)\, Qualitative Research Methods (2011) (also translated into Chinese) and International Focus Group Discussions (2007). She teaches graduate-level courses in qualitative research at Emory University. She developed the 'QUAL-WORKS' (https://sph.emory.edu/qual-works) training program in 2013 for public health professionals. Her courses\, workshops and books reflect the application of qualitative methods in globally diverse settings and provide guidance on how to balance methodological rigor with the practical realities of global research. She has also published on various methodological aspects of qualitative research\, such as using interpreters and translators in qualitative data collection\; the effect of using court reporters on data quality\; estimating sample size in qualitative studies\; and highlighting emerging methodological issues in focus group research. She has served as a board member for SAGE Publications on their ‘Cases in Methodology’ work and on the editorial board of the International Journal of Multiple Research Approaches. She co-chaired a three-year scientific panel for the International Union of the Scientific Study of Population (IUSSP)\, on ‘Qualitative Research in Population Studies’ which had a mandate to promote rigor in the use of qualitative methods in the discipline. She has led scientific sessions on qualitative research at key professional forums\, such as: International Congress of Qualitative Inquiry\; International Institute for Qualitative Methods\; European Association of Population Studies\; and the International Union for the Scientific Study of Population.\n\nTextbook Information: Hennink\, Hutter & Bailey (2020) 2nd Ed. Qualitative Research Methods. Sage Publications\; Ritchie et al (2014) Qualitative Research Practice: A Guide for Social Science Students & Researchers. Second Edition\; Emerson et al (2011) Writing Ethnographic Fieldnotes\; Rubin & Rubin (2012) Qualitative Interviewing. The Art of Hearing Data. Third Edition\; Hennink (2014) Focus Group Discussions. Oxford University Press UID:148255-21903516@events.umich.edu URL:https://events.umich.edu/event/148255 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260527T130000 DTEND;TZID=America/Detroit:20260527T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903536@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130858 DTSTART;TZID=America/Detroit:20260528T100000 DTEND;TZID=America/Detroit:20260528T130000 SUMMARY:Class / Instruction:June 1-10\, 2026 MWF Course - Data Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences DESCRIPTION:June 1-10\, 2026 MWF\n10:00am - 1:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nData Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences\n\nThe recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals\, in real time\, and may also reduce participant burden. In this course\, we will provide examples of the utility of and integration of wearables\, sensors\, and apps in research settings. Examples will include the use of wearable health devices to measure activity\, apps for ecological momentary assessment\, and smartphone sensors to measure sound and movement\, among others. Additionally\, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage\, participation\, and measurement error when integrating wearables\, sensors\, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.\n\nHeidi Guyer is Senior Public Health Research Scientist at RTI International. Before joining RTI\, she was a Senior Survey Director and oversaw data collection on large national and international health research projects at the University of Michigan. She received a PhD in Epidemiology from the University of Michigan and a Master of Public Health from the University of Texas. She has extensive experience in population-based data collection\, cross-sectional and longitudinal health surveys\, and adapting clinical measures and new technology in health research. Her substantive areas of research have focused on the association between health behaviors\, such as sleep and diet quality\, and the development of chronic health conditions. UID:148256-21903498@events.umich.edu URL:https://events.umich.edu/event/148256 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131309 DTSTART;TZID=America/Detroit:20260528T100000 DTEND;TZID=America/Detroit:20260528T150000 SUMMARY:Class / Instruction:June 1-5\, 2026 Course - Introduction to the Health and Retirement Study (HRS) Workshop DESCRIPTION:June 1-5\, 2026 M-F\n10:00am - $3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nIntroduction to the Health and Retirement Study (HRS) Workshop\n\nThe Health and Retirement Study (hrs.isr.umich.edu) workshop is intended to give participants an introduction to the study that will enable them to get started using the data for research. HRS is a large-scale longitudinal study with more than 20 years of data on the labor force participation and health transitions that individuals undergo toward the end of their work lives and in the years that follow. This online workshop is intended for users who have little to no experience using HRS data.\n\nContent lectures delivered by HRS co-investigators and content area experts on basic survey content\, sample design\, weighting\, and restricted data files will be available on the course website for viewing ahead of time. During the week of the workshop\, each content lecturer will participate in a Zoom meeting with the class to answer questions about their lecture. The majority of each day will be devoted to data labs in which participants will gain experience using the data\, with a strong focus on introductory data management and simple data analysis.\n\nAmanda Sonnega\, PhD\, is a Research Scientist in the Survey Research Center of the Institute for Social Research (ISR) at the University of Michigan (UM)\, where she is responsible for integrating communication\, outreach\, and education efforts for the Health and Retirement Study. She received her doctorate through the Department of Health\, Behavior\, and Society at the Johns Hopkins University and completed a postdoctoral fellowship within the ISR program in Social Environment and Health. Dr. Sonnega has lectured in the UM School of Public Health on psychosocial factors in health-related behavior. Her research focuses on life course trajectories of physical and mental health\; institutional and personal factors associated with vulnerability and resilience in aging individuals\; and work transitions and their broad effects on health and well-being. UID:148257-21903479@events.umich.edu URL:https://events.umich.edu/event/148257 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131053 DTSTART;TZID=America/Detroit:20260528T130000 DTEND;TZID=America/Detroit:20260528T160000 SUMMARY:Class / Instruction:June 1-5 Course - Introduction to Qualitative Research Methods DESCRIPTION:June 1-5\, 2026\, M-F\n1:00-4:00pm \nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nIntroduction to Qualitative Research Methods\n\nThis introductory course provides students with a strong foundation in qualitative research\, covering principles of qualitative research\, study design including participant recruitment and sample size estimation. Students also learn how to design and conduct core data collection methods - in-depth interviews\, focus groups\, and observation – and a range of field tasks such as transcription and field training. Then writing and critiquing qualitative methods for academic work. The course is highly interactive\, emphasizing both the principles and skill development through applied activities. The course needs a minimum of 6 registrants and has an enrollment capacity of 10. \n\nDr. Monique Hennink is Professor in the Hubert Department of Global Health in the Rollins School of Public Health and Associated Faculty in Sociology at Emory University. She is also Visiting Professor at University of Michigan\, Department of Epidemiology\, and Instructor at the University of Columbia's EPISUMMER program in Epidemiology. She earned her PhD in Demography in the United Kingdom.\n\nDr Hennink was indicted into Emory’s MilliPub Club in 2023 and 2024 for two research papers. This honors faculty authors of a scientific publication with over 1\,000 citations - considered high impact scholarship. She received the 2020 Provost’s Distinguished Teaching Award for Excellence in Graduate and Professional Education at Emory University. She also received the 'Excellence in Research' Award in 2019 and the 'Excellence in Teaching' Award in 2016 at the Rollins School of Public Health.\n\nShe has particular expertise in applying qualitative research to examine public health issues. She has 30 years’ experience in the design\, conduct\, analysis\, and publication of qualitative health research. She has authored five textbooks on qualitative research\, including: Qualitative Research Methods 2nd edition (2020)\; Focus Group Discussions (2014)\, Qualitative Research Methods (2011) (also translated into Chinese) and International Focus Group Discussions (2007). She teaches graduate-level courses in qualitative research at Emory University. She developed the 'QUAL-WORKS' (https://sph.emory.edu/qual-works) training program in 2013 for public health professionals. Her courses\, workshops and books reflect the application of qualitative methods in globally diverse settings and provide guidance on how to balance methodological rigor with the practical realities of global research. She has also published on various methodological aspects of qualitative research\, such as using interpreters and translators in qualitative data collection\; the effect of using court reporters on data quality\; estimating sample size in qualitative studies\; and highlighting emerging methodological issues in focus group research. She has served as a board member for SAGE Publications on their ‘Cases in Methodology’ work and on the editorial board of the International Journal of Multiple Research Approaches. She co-chaired a three-year scientific panel for the International Union of the Scientific Study of Population (IUSSP)\, on ‘Qualitative Research in Population Studies’ which had a mandate to promote rigor in the use of qualitative methods in the discipline. She has led scientific sessions on qualitative research at key professional forums\, such as: International Congress of Qualitative Inquiry\; International Institute for Qualitative Methods\; European Association of Population Studies\; and the International Union for the Scientific Study of Population.\n\nTextbook Information: Hennink\, Hutter & Bailey (2020) 2nd Ed. Qualitative Research Methods. Sage Publications\; Ritchie et al (2014) Qualitative Research Practice: A Guide for Social Science Students & Researchers. Second Edition\; Emerson et al (2011) Writing Ethnographic Fieldnotes\; Rubin & Rubin (2012) Qualitative Interviewing. The Art of Hearing Data. Third Edition\; Hennink (2014) Focus Group Discussions. Oxford University Press UID:148255-21903517@events.umich.edu URL:https://events.umich.edu/event/148255 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260528T130000 DTEND;TZID=America/Detroit:20260528T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903537@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130858 DTSTART;TZID=America/Detroit:20260529T100000 DTEND;TZID=America/Detroit:20260529T130000 SUMMARY:Class / Instruction:June 1-10\, 2026 MWF Course - Data Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences DESCRIPTION:June 1-10\, 2026 MWF\n10:00am - 1:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nData Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences\n\nThe recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals\, in real time\, and may also reduce participant burden. In this course\, we will provide examples of the utility of and integration of wearables\, sensors\, and apps in research settings. Examples will include the use of wearable health devices to measure activity\, apps for ecological momentary assessment\, and smartphone sensors to measure sound and movement\, among others. Additionally\, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage\, participation\, and measurement error when integrating wearables\, sensors\, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.\n\nHeidi Guyer is Senior Public Health Research Scientist at RTI International. Before joining RTI\, she was a Senior Survey Director and oversaw data collection on large national and international health research projects at the University of Michigan. She received a PhD in Epidemiology from the University of Michigan and a Master of Public Health from the University of Texas. She has extensive experience in population-based data collection\, cross-sectional and longitudinal health surveys\, and adapting clinical measures and new technology in health research. Her substantive areas of research have focused on the association between health behaviors\, such as sleep and diet quality\, and the development of chronic health conditions. UID:148256-21903499@events.umich.edu URL:https://events.umich.edu/event/148256 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131309 DTSTART;TZID=America/Detroit:20260529T100000 DTEND;TZID=America/Detroit:20260529T150000 SUMMARY:Class / Instruction:June 1-5\, 2026 Course - Introduction to the Health and Retirement Study (HRS) Workshop DESCRIPTION:June 1-5\, 2026 M-F\n10:00am - $3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nIntroduction to the Health and Retirement Study (HRS) Workshop\n\nThe Health and Retirement Study (hrs.isr.umich.edu) workshop is intended to give participants an introduction to the study that will enable them to get started using the data for research. HRS is a large-scale longitudinal study with more than 20 years of data on the labor force participation and health transitions that individuals undergo toward the end of their work lives and in the years that follow. This online workshop is intended for users who have little to no experience using HRS data.\n\nContent lectures delivered by HRS co-investigators and content area experts on basic survey content\, sample design\, weighting\, and restricted data files will be available on the course website for viewing ahead of time. During the week of the workshop\, each content lecturer will participate in a Zoom meeting with the class to answer questions about their lecture. The majority of each day will be devoted to data labs in which participants will gain experience using the data\, with a strong focus on introductory data management and simple data analysis.\n\nAmanda Sonnega\, PhD\, is a Research Scientist in the Survey Research Center of the Institute for Social Research (ISR) at the University of Michigan (UM)\, where she is responsible for integrating communication\, outreach\, and education efforts for the Health and Retirement Study. She received her doctorate through the Department of Health\, Behavior\, and Society at the Johns Hopkins University and completed a postdoctoral fellowship within the ISR program in Social Environment and Health. Dr. Sonnega has lectured in the UM School of Public Health on psychosocial factors in health-related behavior. Her research focuses on life course trajectories of physical and mental health\; institutional and personal factors associated with vulnerability and resilience in aging individuals\; and work transitions and their broad effects on health and well-being. UID:148257-21903480@events.umich.edu URL:https://events.umich.edu/event/148257 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131053 DTSTART;TZID=America/Detroit:20260529T130000 DTEND;TZID=America/Detroit:20260529T160000 SUMMARY:Class / Instruction:June 1-5 Course - Introduction to Qualitative Research Methods DESCRIPTION:June 1-5\, 2026\, M-F\n1:00-4:00pm \nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nIntroduction to Qualitative Research Methods\n\nThis introductory course provides students with a strong foundation in qualitative research\, covering principles of qualitative research\, study design including participant recruitment and sample size estimation. Students also learn how to design and conduct core data collection methods - in-depth interviews\, focus groups\, and observation – and a range of field tasks such as transcription and field training. Then writing and critiquing qualitative methods for academic work. The course is highly interactive\, emphasizing both the principles and skill development through applied activities. The course needs a minimum of 6 registrants and has an enrollment capacity of 10. \n\nDr. Monique Hennink is Professor in the Hubert Department of Global Health in the Rollins School of Public Health and Associated Faculty in Sociology at Emory University. She is also Visiting Professor at University of Michigan\, Department of Epidemiology\, and Instructor at the University of Columbia's EPISUMMER program in Epidemiology. She earned her PhD in Demography in the United Kingdom.\n\nDr Hennink was indicted into Emory’s MilliPub Club in 2023 and 2024 for two research papers. This honors faculty authors of a scientific publication with over 1\,000 citations - considered high impact scholarship. She received the 2020 Provost’s Distinguished Teaching Award for Excellence in Graduate and Professional Education at Emory University. She also received the 'Excellence in Research' Award in 2019 and the 'Excellence in Teaching' Award in 2016 at the Rollins School of Public Health.\n\nShe has particular expertise in applying qualitative research to examine public health issues. She has 30 years’ experience in the design\, conduct\, analysis\, and publication of qualitative health research. She has authored five textbooks on qualitative research\, including: Qualitative Research Methods 2nd edition (2020)\; Focus Group Discussions (2014)\, Qualitative Research Methods (2011) (also translated into Chinese) and International Focus Group Discussions (2007). She teaches graduate-level courses in qualitative research at Emory University. She developed the 'QUAL-WORKS' (https://sph.emory.edu/qual-works) training program in 2013 for public health professionals. Her courses\, workshops and books reflect the application of qualitative methods in globally diverse settings and provide guidance on how to balance methodological rigor with the practical realities of global research. She has also published on various methodological aspects of qualitative research\, such as using interpreters and translators in qualitative data collection\; the effect of using court reporters on data quality\; estimating sample size in qualitative studies\; and highlighting emerging methodological issues in focus group research. She has served as a board member for SAGE Publications on their ‘Cases in Methodology’ work and on the editorial board of the International Journal of Multiple Research Approaches. She co-chaired a three-year scientific panel for the International Union of the Scientific Study of Population (IUSSP)\, on ‘Qualitative Research in Population Studies’ which had a mandate to promote rigor in the use of qualitative methods in the discipline. She has led scientific sessions on qualitative research at key professional forums\, such as: International Congress of Qualitative Inquiry\; International Institute for Qualitative Methods\; European Association of Population Studies\; and the International Union for the Scientific Study of Population.\n\nTextbook Information: Hennink\, Hutter & Bailey (2020) 2nd Ed. Qualitative Research Methods. Sage Publications\; Ritchie et al (2014) Qualitative Research Practice: A Guide for Social Science Students & Researchers. Second Edition\; Emerson et al (2011) Writing Ethnographic Fieldnotes\; Rubin & Rubin (2012) Qualitative Interviewing. The Art of Hearing Data. Third Edition\; Hennink (2014) Focus Group Discussions. Oxford University Press UID:148255-21903518@events.umich.edu URL:https://events.umich.edu/event/148255 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260529T130000 DTEND;TZID=America/Detroit:20260529T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903538@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130858 DTSTART;TZID=America/Detroit:20260530T100000 DTEND;TZID=America/Detroit:20260530T130000 SUMMARY:Class / Instruction:June 1-10\, 2026 MWF Course - Data Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences DESCRIPTION:June 1-10\, 2026 MWF\n10:00am - 1:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nData Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences\n\nThe recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals\, in real time\, and may also reduce participant burden. In this course\, we will provide examples of the utility of and integration of wearables\, sensors\, and apps in research settings. Examples will include the use of wearable health devices to measure activity\, apps for ecological momentary assessment\, and smartphone sensors to measure sound and movement\, among others. Additionally\, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage\, participation\, and measurement error when integrating wearables\, sensors\, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.\n\nHeidi Guyer is Senior Public Health Research Scientist at RTI International. Before joining RTI\, she was a Senior Survey Director and oversaw data collection on large national and international health research projects at the University of Michigan. She received a PhD in Epidemiology from the University of Michigan and a Master of Public Health from the University of Texas. She has extensive experience in population-based data collection\, cross-sectional and longitudinal health surveys\, and adapting clinical measures and new technology in health research. Her substantive areas of research have focused on the association between health behaviors\, such as sleep and diet quality\, and the development of chronic health conditions. UID:148256-21903500@events.umich.edu URL:https://events.umich.edu/event/148256 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131309 DTSTART;TZID=America/Detroit:20260530T100000 DTEND;TZID=America/Detroit:20260530T150000 SUMMARY:Class / Instruction:June 1-5\, 2026 Course - Introduction to the Health and Retirement Study (HRS) Workshop DESCRIPTION:June 1-5\, 2026 M-F\n10:00am - $3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nIntroduction to the Health and Retirement Study (HRS) Workshop\n\nThe Health and Retirement Study (hrs.isr.umich.edu) workshop is intended to give participants an introduction to the study that will enable them to get started using the data for research. HRS is a large-scale longitudinal study with more than 20 years of data on the labor force participation and health transitions that individuals undergo toward the end of their work lives and in the years that follow. This online workshop is intended for users who have little to no experience using HRS data.\n\nContent lectures delivered by HRS co-investigators and content area experts on basic survey content\, sample design\, weighting\, and restricted data files will be available on the course website for viewing ahead of time. During the week of the workshop\, each content lecturer will participate in a Zoom meeting with the class to answer questions about their lecture. The majority of each day will be devoted to data labs in which participants will gain experience using the data\, with a strong focus on introductory data management and simple data analysis.\n\nAmanda Sonnega\, PhD\, is a Research Scientist in the Survey Research Center of the Institute for Social Research (ISR) at the University of Michigan (UM)\, where she is responsible for integrating communication\, outreach\, and education efforts for the Health and Retirement Study. She received her doctorate through the Department of Health\, Behavior\, and Society at the Johns Hopkins University and completed a postdoctoral fellowship within the ISR program in Social Environment and Health. Dr. Sonnega has lectured in the UM School of Public Health on psychosocial factors in health-related behavior. Her research focuses on life course trajectories of physical and mental health\; institutional and personal factors associated with vulnerability and resilience in aging individuals\; and work transitions and their broad effects on health and well-being. UID:148257-21903481@events.umich.edu URL:https://events.umich.edu/event/148257 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131053 DTSTART;TZID=America/Detroit:20260530T130000 DTEND;TZID=America/Detroit:20260530T160000 SUMMARY:Class / Instruction:June 1-5 Course - Introduction to Qualitative Research Methods DESCRIPTION:June 1-5\, 2026\, M-F\n1:00-4:00pm \nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nIntroduction to Qualitative Research Methods\n\nThis introductory course provides students with a strong foundation in qualitative research\, covering principles of qualitative research\, study design including participant recruitment and sample size estimation. Students also learn how to design and conduct core data collection methods - in-depth interviews\, focus groups\, and observation – and a range of field tasks such as transcription and field training. Then writing and critiquing qualitative methods for academic work. The course is highly interactive\, emphasizing both the principles and skill development through applied activities. The course needs a minimum of 6 registrants and has an enrollment capacity of 10. \n\nDr. Monique Hennink is Professor in the Hubert Department of Global Health in the Rollins School of Public Health and Associated Faculty in Sociology at Emory University. She is also Visiting Professor at University of Michigan\, Department of Epidemiology\, and Instructor at the University of Columbia's EPISUMMER program in Epidemiology. She earned her PhD in Demography in the United Kingdom.\n\nDr Hennink was indicted into Emory’s MilliPub Club in 2023 and 2024 for two research papers. This honors faculty authors of a scientific publication with over 1\,000 citations - considered high impact scholarship. She received the 2020 Provost’s Distinguished Teaching Award for Excellence in Graduate and Professional Education at Emory University. She also received the 'Excellence in Research' Award in 2019 and the 'Excellence in Teaching' Award in 2016 at the Rollins School of Public Health.\n\nShe has particular expertise in applying qualitative research to examine public health issues. She has 30 years’ experience in the design\, conduct\, analysis\, and publication of qualitative health research. She has authored five textbooks on qualitative research\, including: Qualitative Research Methods 2nd edition (2020)\; Focus Group Discussions (2014)\, Qualitative Research Methods (2011) (also translated into Chinese) and International Focus Group Discussions (2007). She teaches graduate-level courses in qualitative research at Emory University. She developed the 'QUAL-WORKS' (https://sph.emory.edu/qual-works) training program in 2013 for public health professionals. Her courses\, workshops and books reflect the application of qualitative methods in globally diverse settings and provide guidance on how to balance methodological rigor with the practical realities of global research. She has also published on various methodological aspects of qualitative research\, such as using interpreters and translators in qualitative data collection\; the effect of using court reporters on data quality\; estimating sample size in qualitative studies\; and highlighting emerging methodological issues in focus group research. She has served as a board member for SAGE Publications on their ‘Cases in Methodology’ work and on the editorial board of the International Journal of Multiple Research Approaches. She co-chaired a three-year scientific panel for the International Union of the Scientific Study of Population (IUSSP)\, on ‘Qualitative Research in Population Studies’ which had a mandate to promote rigor in the use of qualitative methods in the discipline. She has led scientific sessions on qualitative research at key professional forums\, such as: International Congress of Qualitative Inquiry\; International Institute for Qualitative Methods\; European Association of Population Studies\; and the International Union for the Scientific Study of Population.\n\nTextbook Information: Hennink\, Hutter & Bailey (2020) 2nd Ed. Qualitative Research Methods. Sage Publications\; Ritchie et al (2014) Qualitative Research Practice: A Guide for Social Science Students & Researchers. Second Edition\; Emerson et al (2011) Writing Ethnographic Fieldnotes\; Rubin & Rubin (2012) Qualitative Interviewing. The Art of Hearing Data. Third Edition\; Hennink (2014) Focus Group Discussions. Oxford University Press UID:148255-21903519@events.umich.edu URL:https://events.umich.edu/event/148255 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260530T130000 DTEND;TZID=America/Detroit:20260530T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903539@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130858 DTSTART;TZID=America/Detroit:20260531T100000 DTEND;TZID=America/Detroit:20260531T130000 SUMMARY:Class / Instruction:June 1-10\, 2026 MWF Course - Data Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences DESCRIPTION:June 1-10\, 2026 MWF\n10:00am - 1:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nData Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences\n\nThe recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals\, in real time\, and may also reduce participant burden. In this course\, we will provide examples of the utility of and integration of wearables\, sensors\, and apps in research settings. Examples will include the use of wearable health devices to measure activity\, apps for ecological momentary assessment\, and smartphone sensors to measure sound and movement\, among others. Additionally\, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage\, participation\, and measurement error when integrating wearables\, sensors\, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.\n\nHeidi Guyer is Senior Public Health Research Scientist at RTI International. Before joining RTI\, she was a Senior Survey Director and oversaw data collection on large national and international health research projects at the University of Michigan. She received a PhD in Epidemiology from the University of Michigan and a Master of Public Health from the University of Texas. She has extensive experience in population-based data collection\, cross-sectional and longitudinal health surveys\, and adapting clinical measures and new technology in health research. Her substantive areas of research have focused on the association between health behaviors\, such as sleep and diet quality\, and the development of chronic health conditions. UID:148256-21903501@events.umich.edu URL:https://events.umich.edu/event/148256 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131309 DTSTART;TZID=America/Detroit:20260531T100000 DTEND;TZID=America/Detroit:20260531T150000 SUMMARY:Class / Instruction:June 1-5\, 2026 Course - Introduction to the Health and Retirement Study (HRS) Workshop DESCRIPTION:June 1-5\, 2026 M-F\n10:00am - $3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nIntroduction to the Health and Retirement Study (HRS) Workshop\n\nThe Health and Retirement Study (hrs.isr.umich.edu) workshop is intended to give participants an introduction to the study that will enable them to get started using the data for research. HRS is a large-scale longitudinal study with more than 20 years of data on the labor force participation and health transitions that individuals undergo toward the end of their work lives and in the years that follow. This online workshop is intended for users who have little to no experience using HRS data.\n\nContent lectures delivered by HRS co-investigators and content area experts on basic survey content\, sample design\, weighting\, and restricted data files will be available on the course website for viewing ahead of time. During the week of the workshop\, each content lecturer will participate in a Zoom meeting with the class to answer questions about their lecture. The majority of each day will be devoted to data labs in which participants will gain experience using the data\, with a strong focus on introductory data management and simple data analysis.\n\nAmanda Sonnega\, PhD\, is a Research Scientist in the Survey Research Center of the Institute for Social Research (ISR) at the University of Michigan (UM)\, where she is responsible for integrating communication\, outreach\, and education efforts for the Health and Retirement Study. She received her doctorate through the Department of Health\, Behavior\, and Society at the Johns Hopkins University and completed a postdoctoral fellowship within the ISR program in Social Environment and Health. Dr. Sonnega has lectured in the UM School of Public Health on psychosocial factors in health-related behavior. Her research focuses on life course trajectories of physical and mental health\; institutional and personal factors associated with vulnerability and resilience in aging individuals\; and work transitions and their broad effects on health and well-being. UID:148257-21903482@events.umich.edu URL:https://events.umich.edu/event/148257 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131053 DTSTART;TZID=America/Detroit:20260531T130000 DTEND;TZID=America/Detroit:20260531T160000 SUMMARY:Class / Instruction:June 1-5 Course - Introduction to Qualitative Research Methods DESCRIPTION:June 1-5\, 2026\, M-F\n1:00-4:00pm \nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nIntroduction to Qualitative Research Methods\n\nThis introductory course provides students with a strong foundation in qualitative research\, covering principles of qualitative research\, study design including participant recruitment and sample size estimation. Students also learn how to design and conduct core data collection methods - in-depth interviews\, focus groups\, and observation – and a range of field tasks such as transcription and field training. Then writing and critiquing qualitative methods for academic work. The course is highly interactive\, emphasizing both the principles and skill development through applied activities. The course needs a minimum of 6 registrants and has an enrollment capacity of 10. \n\nDr. Monique Hennink is Professor in the Hubert Department of Global Health in the Rollins School of Public Health and Associated Faculty in Sociology at Emory University. She is also Visiting Professor at University of Michigan\, Department of Epidemiology\, and Instructor at the University of Columbia's EPISUMMER program in Epidemiology. She earned her PhD in Demography in the United Kingdom.\n\nDr Hennink was indicted into Emory’s MilliPub Club in 2023 and 2024 for two research papers. This honors faculty authors of a scientific publication with over 1\,000 citations - considered high impact scholarship. She received the 2020 Provost’s Distinguished Teaching Award for Excellence in Graduate and Professional Education at Emory University. She also received the 'Excellence in Research' Award in 2019 and the 'Excellence in Teaching' Award in 2016 at the Rollins School of Public Health.\n\nShe has particular expertise in applying qualitative research to examine public health issues. She has 30 years’ experience in the design\, conduct\, analysis\, and publication of qualitative health research. She has authored five textbooks on qualitative research\, including: Qualitative Research Methods 2nd edition (2020)\; Focus Group Discussions (2014)\, Qualitative Research Methods (2011) (also translated into Chinese) and International Focus Group Discussions (2007). She teaches graduate-level courses in qualitative research at Emory University. She developed the 'QUAL-WORKS' (https://sph.emory.edu/qual-works) training program in 2013 for public health professionals. Her courses\, workshops and books reflect the application of qualitative methods in globally diverse settings and provide guidance on how to balance methodological rigor with the practical realities of global research. She has also published on various methodological aspects of qualitative research\, such as using interpreters and translators in qualitative data collection\; the effect of using court reporters on data quality\; estimating sample size in qualitative studies\; and highlighting emerging methodological issues in focus group research. She has served as a board member for SAGE Publications on their ‘Cases in Methodology’ work and on the editorial board of the International Journal of Multiple Research Approaches. She co-chaired a three-year scientific panel for the International Union of the Scientific Study of Population (IUSSP)\, on ‘Qualitative Research in Population Studies’ which had a mandate to promote rigor in the use of qualitative methods in the discipline. She has led scientific sessions on qualitative research at key professional forums\, such as: International Congress of Qualitative Inquiry\; International Institute for Qualitative Methods\; European Association of Population Studies\; and the International Union for the Scientific Study of Population.\n\nTextbook Information: Hennink\, Hutter & Bailey (2020) 2nd Ed. Qualitative Research Methods. Sage Publications\; Ritchie et al (2014) Qualitative Research Practice: A Guide for Social Science Students & Researchers. Second Edition\; Emerson et al (2011) Writing Ethnographic Fieldnotes\; Rubin & Rubin (2012) Qualitative Interviewing. The Art of Hearing Data. Third Edition\; Hennink (2014) Focus Group Discussions. Oxford University Press UID:148255-21903520@events.umich.edu URL:https://events.umich.edu/event/148255 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260531T130000 DTEND;TZID=America/Detroit:20260531T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903540@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130858 DTSTART;TZID=America/Detroit:20260601T100000 DTEND;TZID=America/Detroit:20260601T130000 SUMMARY:Class / Instruction:June 1-10\, 2026 MWF Course - Data Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences DESCRIPTION:June 1-10\, 2026 MWF\n10:00am - 1:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nData Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences\n\nThe recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals\, in real time\, and may also reduce participant burden. In this course\, we will provide examples of the utility of and integration of wearables\, sensors\, and apps in research settings. Examples will include the use of wearable health devices to measure activity\, apps for ecological momentary assessment\, and smartphone sensors to measure sound and movement\, among others. Additionally\, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage\, participation\, and measurement error when integrating wearables\, sensors\, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.\n\nHeidi Guyer is Senior Public Health Research Scientist at RTI International. Before joining RTI\, she was a Senior Survey Director and oversaw data collection on large national and international health research projects at the University of Michigan. She received a PhD in Epidemiology from the University of Michigan and a Master of Public Health from the University of Texas. She has extensive experience in population-based data collection\, cross-sectional and longitudinal health surveys\, and adapting clinical measures and new technology in health research. Her substantive areas of research have focused on the association between health behaviors\, such as sleep and diet quality\, and the development of chronic health conditions. UID:148256-21903502@events.umich.edu URL:https://events.umich.edu/event/148256 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131309 DTSTART;TZID=America/Detroit:20260601T100000 DTEND;TZID=America/Detroit:20260601T150000 SUMMARY:Class / Instruction:June 1-5\, 2026 Course - Introduction to the Health and Retirement Study (HRS) Workshop DESCRIPTION:June 1-5\, 2026 M-F\n10:00am - $3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nIntroduction to the Health and Retirement Study (HRS) Workshop\n\nThe Health and Retirement Study (hrs.isr.umich.edu) workshop is intended to give participants an introduction to the study that will enable them to get started using the data for research. HRS is a large-scale longitudinal study with more than 20 years of data on the labor force participation and health transitions that individuals undergo toward the end of their work lives and in the years that follow. This online workshop is intended for users who have little to no experience using HRS data.\n\nContent lectures delivered by HRS co-investigators and content area experts on basic survey content\, sample design\, weighting\, and restricted data files will be available on the course website for viewing ahead of time. During the week of the workshop\, each content lecturer will participate in a Zoom meeting with the class to answer questions about their lecture. The majority of each day will be devoted to data labs in which participants will gain experience using the data\, with a strong focus on introductory data management and simple data analysis.\n\nAmanda Sonnega\, PhD\, is a Research Scientist in the Survey Research Center of the Institute for Social Research (ISR) at the University of Michigan (UM)\, where she is responsible for integrating communication\, outreach\, and education efforts for the Health and Retirement Study. She received her doctorate through the Department of Health\, Behavior\, and Society at the Johns Hopkins University and completed a postdoctoral fellowship within the ISR program in Social Environment and Health. Dr. Sonnega has lectured in the UM School of Public Health on psychosocial factors in health-related behavior. Her research focuses on life course trajectories of physical and mental health\; institutional and personal factors associated with vulnerability and resilience in aging individuals\; and work transitions and their broad effects on health and well-being. UID:148257-21903483@events.umich.edu URL:https://events.umich.edu/event/148257 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131053 DTSTART;TZID=America/Detroit:20260601T130000 DTEND;TZID=America/Detroit:20260601T160000 SUMMARY:Class / Instruction:June 1-5 Course - Introduction to Qualitative Research Methods DESCRIPTION:June 1-5\, 2026\, M-F\n1:00-4:00pm \nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nIntroduction to Qualitative Research Methods\n\nThis introductory course provides students with a strong foundation in qualitative research\, covering principles of qualitative research\, study design including participant recruitment and sample size estimation. Students also learn how to design and conduct core data collection methods - in-depth interviews\, focus groups\, and observation – and a range of field tasks such as transcription and field training. Then writing and critiquing qualitative methods for academic work. The course is highly interactive\, emphasizing both the principles and skill development through applied activities. The course needs a minimum of 6 registrants and has an enrollment capacity of 10. \n\nDr. Monique Hennink is Professor in the Hubert Department of Global Health in the Rollins School of Public Health and Associated Faculty in Sociology at Emory University. She is also Visiting Professor at University of Michigan\, Department of Epidemiology\, and Instructor at the University of Columbia's EPISUMMER program in Epidemiology. She earned her PhD in Demography in the United Kingdom.\n\nDr Hennink was indicted into Emory’s MilliPub Club in 2023 and 2024 for two research papers. This honors faculty authors of a scientific publication with over 1\,000 citations - considered high impact scholarship. She received the 2020 Provost’s Distinguished Teaching Award for Excellence in Graduate and Professional Education at Emory University. She also received the 'Excellence in Research' Award in 2019 and the 'Excellence in Teaching' Award in 2016 at the Rollins School of Public Health.\n\nShe has particular expertise in applying qualitative research to examine public health issues. She has 30 years’ experience in the design\, conduct\, analysis\, and publication of qualitative health research. She has authored five textbooks on qualitative research\, including: Qualitative Research Methods 2nd edition (2020)\; Focus Group Discussions (2014)\, Qualitative Research Methods (2011) (also translated into Chinese) and International Focus Group Discussions (2007). She teaches graduate-level courses in qualitative research at Emory University. She developed the 'QUAL-WORKS' (https://sph.emory.edu/qual-works) training program in 2013 for public health professionals. Her courses\, workshops and books reflect the application of qualitative methods in globally diverse settings and provide guidance on how to balance methodological rigor with the practical realities of global research. She has also published on various methodological aspects of qualitative research\, such as using interpreters and translators in qualitative data collection\; the effect of using court reporters on data quality\; estimating sample size in qualitative studies\; and highlighting emerging methodological issues in focus group research. She has served as a board member for SAGE Publications on their ‘Cases in Methodology’ work and on the editorial board of the International Journal of Multiple Research Approaches. She co-chaired a three-year scientific panel for the International Union of the Scientific Study of Population (IUSSP)\, on ‘Qualitative Research in Population Studies’ which had a mandate to promote rigor in the use of qualitative methods in the discipline. She has led scientific sessions on qualitative research at key professional forums\, such as: International Congress of Qualitative Inquiry\; International Institute for Qualitative Methods\; European Association of Population Studies\; and the International Union for the Scientific Study of Population.\n\nTextbook Information: Hennink\, Hutter & Bailey (2020) 2nd Ed. Qualitative Research Methods. Sage Publications\; Ritchie et al (2014) Qualitative Research Practice: A Guide for Social Science Students & Researchers. Second Edition\; Emerson et al (2011) Writing Ethnographic Fieldnotes\; Rubin & Rubin (2012) Qualitative Interviewing. The Art of Hearing Data. Third Edition\; Hennink (2014) Focus Group Discussions. Oxford University Press UID:148255-21903521@events.umich.edu URL:https://events.umich.edu/event/148255 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260601T130000 DTEND;TZID=America/Detroit:20260601T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903541@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130858 DTSTART;TZID=America/Detroit:20260602T100000 DTEND;TZID=America/Detroit:20260602T130000 SUMMARY:Class / Instruction:June 1-10\, 2026 MWF Course - Data Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences DESCRIPTION:June 1-10\, 2026 MWF\n10:00am - 1:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nData Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences\n\nThe recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals\, in real time\, and may also reduce participant burden. In this course\, we will provide examples of the utility of and integration of wearables\, sensors\, and apps in research settings. Examples will include the use of wearable health devices to measure activity\, apps for ecological momentary assessment\, and smartphone sensors to measure sound and movement\, among others. Additionally\, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage\, participation\, and measurement error when integrating wearables\, sensors\, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.\n\nHeidi Guyer is Senior Public Health Research Scientist at RTI International. Before joining RTI\, she was a Senior Survey Director and oversaw data collection on large national and international health research projects at the University of Michigan. She received a PhD in Epidemiology from the University of Michigan and a Master of Public Health from the University of Texas. She has extensive experience in population-based data collection\, cross-sectional and longitudinal health surveys\, and adapting clinical measures and new technology in health research. Her substantive areas of research have focused on the association between health behaviors\, such as sleep and diet quality\, and the development of chronic health conditions. UID:148256-21903601@events.umich.edu URL:https://events.umich.edu/event/148256 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131309 DTSTART;TZID=America/Detroit:20260602T100000 DTEND;TZID=America/Detroit:20260602T150000 SUMMARY:Class / Instruction:June 1-5\, 2026 Course - Introduction to the Health and Retirement Study (HRS) Workshop DESCRIPTION:June 1-5\, 2026 M-F\n10:00am - $3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nIntroduction to the Health and Retirement Study (HRS) Workshop\n\nThe Health and Retirement Study (hrs.isr.umich.edu) workshop is intended to give participants an introduction to the study that will enable them to get started using the data for research. HRS is a large-scale longitudinal study with more than 20 years of data on the labor force participation and health transitions that individuals undergo toward the end of their work lives and in the years that follow. This online workshop is intended for users who have little to no experience using HRS data.\n\nContent lectures delivered by HRS co-investigators and content area experts on basic survey content\, sample design\, weighting\, and restricted data files will be available on the course website for viewing ahead of time. During the week of the workshop\, each content lecturer will participate in a Zoom meeting with the class to answer questions about their lecture. The majority of each day will be devoted to data labs in which participants will gain experience using the data\, with a strong focus on introductory data management and simple data analysis.\n\nAmanda Sonnega\, PhD\, is a Research Scientist in the Survey Research Center of the Institute for Social Research (ISR) at the University of Michigan (UM)\, where she is responsible for integrating communication\, outreach\, and education efforts for the Health and Retirement Study. She received her doctorate through the Department of Health\, Behavior\, and Society at the Johns Hopkins University and completed a postdoctoral fellowship within the ISR program in Social Environment and Health. Dr. Sonnega has lectured in the UM School of Public Health on psychosocial factors in health-related behavior. Her research focuses on life course trajectories of physical and mental health\; institutional and personal factors associated with vulnerability and resilience in aging individuals\; and work transitions and their broad effects on health and well-being. UID:148257-21903614@events.umich.edu URL:https://events.umich.edu/event/148257 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131053 DTSTART;TZID=America/Detroit:20260602T130000 DTEND;TZID=America/Detroit:20260602T160000 SUMMARY:Class / Instruction:June 1-5 Course - Introduction to Qualitative Research Methods DESCRIPTION:June 1-5\, 2026\, M-F\n1:00-4:00pm \nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nIntroduction to Qualitative Research Methods\n\nThis introductory course provides students with a strong foundation in qualitative research\, covering principles of qualitative research\, study design including participant recruitment and sample size estimation. Students also learn how to design and conduct core data collection methods - in-depth interviews\, focus groups\, and observation – and a range of field tasks such as transcription and field training. Then writing and critiquing qualitative methods for academic work. The course is highly interactive\, emphasizing both the principles and skill development through applied activities. The course needs a minimum of 6 registrants and has an enrollment capacity of 10. \n\nDr. Monique Hennink is Professor in the Hubert Department of Global Health in the Rollins School of Public Health and Associated Faculty in Sociology at Emory University. She is also Visiting Professor at University of Michigan\, Department of Epidemiology\, and Instructor at the University of Columbia's EPISUMMER program in Epidemiology. She earned her PhD in Demography in the United Kingdom.\n\nDr Hennink was indicted into Emory’s MilliPub Club in 2023 and 2024 for two research papers. This honors faculty authors of a scientific publication with over 1\,000 citations - considered high impact scholarship. She received the 2020 Provost’s Distinguished Teaching Award for Excellence in Graduate and Professional Education at Emory University. She also received the 'Excellence in Research' Award in 2019 and the 'Excellence in Teaching' Award in 2016 at the Rollins School of Public Health.\n\nShe has particular expertise in applying qualitative research to examine public health issues. She has 30 years’ experience in the design\, conduct\, analysis\, and publication of qualitative health research. She has authored five textbooks on qualitative research\, including: Qualitative Research Methods 2nd edition (2020)\; Focus Group Discussions (2014)\, Qualitative Research Methods (2011) (also translated into Chinese) and International Focus Group Discussions (2007). She teaches graduate-level courses in qualitative research at Emory University. She developed the 'QUAL-WORKS' (https://sph.emory.edu/qual-works) training program in 2013 for public health professionals. Her courses\, workshops and books reflect the application of qualitative methods in globally diverse settings and provide guidance on how to balance methodological rigor with the practical realities of global research. She has also published on various methodological aspects of qualitative research\, such as using interpreters and translators in qualitative data collection\; the effect of using court reporters on data quality\; estimating sample size in qualitative studies\; and highlighting emerging methodological issues in focus group research. She has served as a board member for SAGE Publications on their ‘Cases in Methodology’ work and on the editorial board of the International Journal of Multiple Research Approaches. She co-chaired a three-year scientific panel for the International Union of the Scientific Study of Population (IUSSP)\, on ‘Qualitative Research in Population Studies’ which had a mandate to promote rigor in the use of qualitative methods in the discipline. She has led scientific sessions on qualitative research at key professional forums\, such as: International Congress of Qualitative Inquiry\; International Institute for Qualitative Methods\; European Association of Population Studies\; and the International Union for the Scientific Study of Population.\n\nTextbook Information: Hennink\, Hutter & Bailey (2020) 2nd Ed. Qualitative Research Methods. Sage Publications\; Ritchie et al (2014) Qualitative Research Practice: A Guide for Social Science Students & Researchers. Second Edition\; Emerson et al (2011) Writing Ethnographic Fieldnotes\; Rubin & Rubin (2012) Qualitative Interviewing. The Art of Hearing Data. Third Edition\; Hennink (2014) Focus Group Discussions. Oxford University Press UID:148255-21903610@events.umich.edu URL:https://events.umich.edu/event/148255 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260602T130000 DTEND;TZID=America/Detroit:20260602T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903542@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130858 DTSTART;TZID=America/Detroit:20260603T100000 DTEND;TZID=America/Detroit:20260603T130000 SUMMARY:Class / Instruction:June 1-10\, 2026 MWF Course - Data Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences DESCRIPTION:June 1-10\, 2026 MWF\n10:00am - 1:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nData Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences\n\nThe recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals\, in real time\, and may also reduce participant burden. In this course\, we will provide examples of the utility of and integration of wearables\, sensors\, and apps in research settings. Examples will include the use of wearable health devices to measure activity\, apps for ecological momentary assessment\, and smartphone sensors to measure sound and movement\, among others. Additionally\, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage\, participation\, and measurement error when integrating wearables\, sensors\, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.\n\nHeidi Guyer is Senior Public Health Research Scientist at RTI International. Before joining RTI\, she was a Senior Survey Director and oversaw data collection on large national and international health research projects at the University of Michigan. She received a PhD in Epidemiology from the University of Michigan and a Master of Public Health from the University of Texas. She has extensive experience in population-based data collection\, cross-sectional and longitudinal health surveys\, and adapting clinical measures and new technology in health research. Her substantive areas of research have focused on the association between health behaviors\, such as sleep and diet quality\, and the development of chronic health conditions. UID:148256-21903602@events.umich.edu URL:https://events.umich.edu/event/148256 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131309 DTSTART;TZID=America/Detroit:20260603T100000 DTEND;TZID=America/Detroit:20260603T150000 SUMMARY:Class / Instruction:June 1-5\, 2026 Course - Introduction to the Health and Retirement Study (HRS) Workshop DESCRIPTION:June 1-5\, 2026 M-F\n10:00am - $3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nIntroduction to the Health and Retirement Study (HRS) Workshop\n\nThe Health and Retirement Study (hrs.isr.umich.edu) workshop is intended to give participants an introduction to the study that will enable them to get started using the data for research. HRS is a large-scale longitudinal study with more than 20 years of data on the labor force participation and health transitions that individuals undergo toward the end of their work lives and in the years that follow. This online workshop is intended for users who have little to no experience using HRS data.\n\nContent lectures delivered by HRS co-investigators and content area experts on basic survey content\, sample design\, weighting\, and restricted data files will be available on the course website for viewing ahead of time. During the week of the workshop\, each content lecturer will participate in a Zoom meeting with the class to answer questions about their lecture. The majority of each day will be devoted to data labs in which participants will gain experience using the data\, with a strong focus on introductory data management and simple data analysis.\n\nAmanda Sonnega\, PhD\, is a Research Scientist in the Survey Research Center of the Institute for Social Research (ISR) at the University of Michigan (UM)\, where she is responsible for integrating communication\, outreach\, and education efforts for the Health and Retirement Study. She received her doctorate through the Department of Health\, Behavior\, and Society at the Johns Hopkins University and completed a postdoctoral fellowship within the ISR program in Social Environment and Health. Dr. Sonnega has lectured in the UM School of Public Health on psychosocial factors in health-related behavior. Her research focuses on life course trajectories of physical and mental health\; institutional and personal factors associated with vulnerability and resilience in aging individuals\; and work transitions and their broad effects on health and well-being. UID:148257-21903615@events.umich.edu URL:https://events.umich.edu/event/148257 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131053 DTSTART;TZID=America/Detroit:20260603T130000 DTEND;TZID=America/Detroit:20260603T160000 SUMMARY:Class / Instruction:June 1-5 Course - Introduction to Qualitative Research Methods DESCRIPTION:June 1-5\, 2026\, M-F\n1:00-4:00pm \nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nIntroduction to Qualitative Research Methods\n\nThis introductory course provides students with a strong foundation in qualitative research\, covering principles of qualitative research\, study design including participant recruitment and sample size estimation. Students also learn how to design and conduct core data collection methods - in-depth interviews\, focus groups\, and observation – and a range of field tasks such as transcription and field training. Then writing and critiquing qualitative methods for academic work. The course is highly interactive\, emphasizing both the principles and skill development through applied activities. The course needs a minimum of 6 registrants and has an enrollment capacity of 10. \n\nDr. Monique Hennink is Professor in the Hubert Department of Global Health in the Rollins School of Public Health and Associated Faculty in Sociology at Emory University. She is also Visiting Professor at University of Michigan\, Department of Epidemiology\, and Instructor at the University of Columbia's EPISUMMER program in Epidemiology. She earned her PhD in Demography in the United Kingdom.\n\nDr Hennink was indicted into Emory’s MilliPub Club in 2023 and 2024 for two research papers. This honors faculty authors of a scientific publication with over 1\,000 citations - considered high impact scholarship. She received the 2020 Provost’s Distinguished Teaching Award for Excellence in Graduate and Professional Education at Emory University. She also received the 'Excellence in Research' Award in 2019 and the 'Excellence in Teaching' Award in 2016 at the Rollins School of Public Health.\n\nShe has particular expertise in applying qualitative research to examine public health issues. She has 30 years’ experience in the design\, conduct\, analysis\, and publication of qualitative health research. She has authored five textbooks on qualitative research\, including: Qualitative Research Methods 2nd edition (2020)\; Focus Group Discussions (2014)\, Qualitative Research Methods (2011) (also translated into Chinese) and International Focus Group Discussions (2007). She teaches graduate-level courses in qualitative research at Emory University. She developed the 'QUAL-WORKS' (https://sph.emory.edu/qual-works) training program in 2013 for public health professionals. Her courses\, workshops and books reflect the application of qualitative methods in globally diverse settings and provide guidance on how to balance methodological rigor with the practical realities of global research. She has also published on various methodological aspects of qualitative research\, such as using interpreters and translators in qualitative data collection\; the effect of using court reporters on data quality\; estimating sample size in qualitative studies\; and highlighting emerging methodological issues in focus group research. She has served as a board member for SAGE Publications on their ‘Cases in Methodology’ work and on the editorial board of the International Journal of Multiple Research Approaches. She co-chaired a three-year scientific panel for the International Union of the Scientific Study of Population (IUSSP)\, on ‘Qualitative Research in Population Studies’ which had a mandate to promote rigor in the use of qualitative methods in the discipline. She has led scientific sessions on qualitative research at key professional forums\, such as: International Congress of Qualitative Inquiry\; International Institute for Qualitative Methods\; European Association of Population Studies\; and the International Union for the Scientific Study of Population.\n\nTextbook Information: Hennink\, Hutter & Bailey (2020) 2nd Ed. Qualitative Research Methods. Sage Publications\; Ritchie et al (2014) Qualitative Research Practice: A Guide for Social Science Students & Researchers. Second Edition\; Emerson et al (2011) Writing Ethnographic Fieldnotes\; Rubin & Rubin (2012) Qualitative Interviewing. The Art of Hearing Data. Third Edition\; Hennink (2014) Focus Group Discussions. Oxford University Press UID:148255-21903611@events.umich.edu URL:https://events.umich.edu/event/148255 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260603T130000 DTEND;TZID=America/Detroit:20260603T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903543@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130858 DTSTART;TZID=America/Detroit:20260604T100000 DTEND;TZID=America/Detroit:20260604T130000 SUMMARY:Class / Instruction:June 1-10\, 2026 MWF Course - Data Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences DESCRIPTION:June 1-10\, 2026 MWF\n10:00am - 1:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nData Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences\n\nThe recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals\, in real time\, and may also reduce participant burden. In this course\, we will provide examples of the utility of and integration of wearables\, sensors\, and apps in research settings. Examples will include the use of wearable health devices to measure activity\, apps for ecological momentary assessment\, and smartphone sensors to measure sound and movement\, among others. Additionally\, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage\, participation\, and measurement error when integrating wearables\, sensors\, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.\n\nHeidi Guyer is Senior Public Health Research Scientist at RTI International. Before joining RTI\, she was a Senior Survey Director and oversaw data collection on large national and international health research projects at the University of Michigan. She received a PhD in Epidemiology from the University of Michigan and a Master of Public Health from the University of Texas. She has extensive experience in population-based data collection\, cross-sectional and longitudinal health surveys\, and adapting clinical measures and new technology in health research. Her substantive areas of research have focused on the association between health behaviors\, such as sleep and diet quality\, and the development of chronic health conditions. UID:148256-21903603@events.umich.edu URL:https://events.umich.edu/event/148256 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131309 DTSTART;TZID=America/Detroit:20260604T100000 DTEND;TZID=America/Detroit:20260604T150000 SUMMARY:Class / Instruction:June 1-5\, 2026 Course - Introduction to the Health and Retirement Study (HRS) Workshop DESCRIPTION:June 1-5\, 2026 M-F\n10:00am - $3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nIntroduction to the Health and Retirement Study (HRS) Workshop\n\nThe Health and Retirement Study (hrs.isr.umich.edu) workshop is intended to give participants an introduction to the study that will enable them to get started using the data for research. HRS is a large-scale longitudinal study with more than 20 years of data on the labor force participation and health transitions that individuals undergo toward the end of their work lives and in the years that follow. This online workshop is intended for users who have little to no experience using HRS data.\n\nContent lectures delivered by HRS co-investigators and content area experts on basic survey content\, sample design\, weighting\, and restricted data files will be available on the course website for viewing ahead of time. During the week of the workshop\, each content lecturer will participate in a Zoom meeting with the class to answer questions about their lecture. The majority of each day will be devoted to data labs in which participants will gain experience using the data\, with a strong focus on introductory data management and simple data analysis.\n\nAmanda Sonnega\, PhD\, is a Research Scientist in the Survey Research Center of the Institute for Social Research (ISR) at the University of Michigan (UM)\, where she is responsible for integrating communication\, outreach\, and education efforts for the Health and Retirement Study. She received her doctorate through the Department of Health\, Behavior\, and Society at the Johns Hopkins University and completed a postdoctoral fellowship within the ISR program in Social Environment and Health. Dr. Sonnega has lectured in the UM School of Public Health on psychosocial factors in health-related behavior. Her research focuses on life course trajectories of physical and mental health\; institutional and personal factors associated with vulnerability and resilience in aging individuals\; and work transitions and their broad effects on health and well-being. UID:148257-21903616@events.umich.edu URL:https://events.umich.edu/event/148257 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131053 DTSTART;TZID=America/Detroit:20260604T130000 DTEND;TZID=America/Detroit:20260604T160000 SUMMARY:Class / Instruction:June 1-5 Course - Introduction to Qualitative Research Methods DESCRIPTION:June 1-5\, 2026\, M-F\n1:00-4:00pm \nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nIntroduction to Qualitative Research Methods\n\nThis introductory course provides students with a strong foundation in qualitative research\, covering principles of qualitative research\, study design including participant recruitment and sample size estimation. Students also learn how to design and conduct core data collection methods - in-depth interviews\, focus groups\, and observation – and a range of field tasks such as transcription and field training. Then writing and critiquing qualitative methods for academic work. The course is highly interactive\, emphasizing both the principles and skill development through applied activities. The course needs a minimum of 6 registrants and has an enrollment capacity of 10. \n\nDr. Monique Hennink is Professor in the Hubert Department of Global Health in the Rollins School of Public Health and Associated Faculty in Sociology at Emory University. She is also Visiting Professor at University of Michigan\, Department of Epidemiology\, and Instructor at the University of Columbia's EPISUMMER program in Epidemiology. She earned her PhD in Demography in the United Kingdom.\n\nDr Hennink was indicted into Emory’s MilliPub Club in 2023 and 2024 for two research papers. This honors faculty authors of a scientific publication with over 1\,000 citations - considered high impact scholarship. She received the 2020 Provost’s Distinguished Teaching Award for Excellence in Graduate and Professional Education at Emory University. She also received the 'Excellence in Research' Award in 2019 and the 'Excellence in Teaching' Award in 2016 at the Rollins School of Public Health.\n\nShe has particular expertise in applying qualitative research to examine public health issues. She has 30 years’ experience in the design\, conduct\, analysis\, and publication of qualitative health research. She has authored five textbooks on qualitative research\, including: Qualitative Research Methods 2nd edition (2020)\; Focus Group Discussions (2014)\, Qualitative Research Methods (2011) (also translated into Chinese) and International Focus Group Discussions (2007). She teaches graduate-level courses in qualitative research at Emory University. She developed the 'QUAL-WORKS' (https://sph.emory.edu/qual-works) training program in 2013 for public health professionals. Her courses\, workshops and books reflect the application of qualitative methods in globally diverse settings and provide guidance on how to balance methodological rigor with the practical realities of global research. She has also published on various methodological aspects of qualitative research\, such as using interpreters and translators in qualitative data collection\; the effect of using court reporters on data quality\; estimating sample size in qualitative studies\; and highlighting emerging methodological issues in focus group research. She has served as a board member for SAGE Publications on their ‘Cases in Methodology’ work and on the editorial board of the International Journal of Multiple Research Approaches. She co-chaired a three-year scientific panel for the International Union of the Scientific Study of Population (IUSSP)\, on ‘Qualitative Research in Population Studies’ which had a mandate to promote rigor in the use of qualitative methods in the discipline. She has led scientific sessions on qualitative research at key professional forums\, such as: International Congress of Qualitative Inquiry\; International Institute for Qualitative Methods\; European Association of Population Studies\; and the International Union for the Scientific Study of Population.\n\nTextbook Information: Hennink\, Hutter & Bailey (2020) 2nd Ed. Qualitative Research Methods. Sage Publications\; Ritchie et al (2014) Qualitative Research Practice: A Guide for Social Science Students & Researchers. Second Edition\; Emerson et al (2011) Writing Ethnographic Fieldnotes\; Rubin & Rubin (2012) Qualitative Interviewing. The Art of Hearing Data. Third Edition\; Hennink (2014) Focus Group Discussions. Oxford University Press UID:148255-21903612@events.umich.edu URL:https://events.umich.edu/event/148255 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260604T130000 DTEND;TZID=America/Detroit:20260604T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903544@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130858 DTSTART;TZID=America/Detroit:20260605T100000 DTEND;TZID=America/Detroit:20260605T130000 SUMMARY:Class / Instruction:June 1-10\, 2026 MWF Course - Data Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences DESCRIPTION:June 1-10\, 2026 MWF\n10:00am - 1:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nData Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences\n\nThe recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals\, in real time\, and may also reduce participant burden. In this course\, we will provide examples of the utility of and integration of wearables\, sensors\, and apps in research settings. Examples will include the use of wearable health devices to measure activity\, apps for ecological momentary assessment\, and smartphone sensors to measure sound and movement\, among others. Additionally\, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage\, participation\, and measurement error when integrating wearables\, sensors\, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.\n\nHeidi Guyer is Senior Public Health Research Scientist at RTI International. Before joining RTI\, she was a Senior Survey Director and oversaw data collection on large national and international health research projects at the University of Michigan. She received a PhD in Epidemiology from the University of Michigan and a Master of Public Health from the University of Texas. She has extensive experience in population-based data collection\, cross-sectional and longitudinal health surveys\, and adapting clinical measures and new technology in health research. Her substantive areas of research have focused on the association between health behaviors\, such as sleep and diet quality\, and the development of chronic health conditions. UID:148256-21903604@events.umich.edu URL:https://events.umich.edu/event/148256 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131309 DTSTART;TZID=America/Detroit:20260605T100000 DTEND;TZID=America/Detroit:20260605T150000 SUMMARY:Class / Instruction:June 1-5\, 2026 Course - Introduction to the Health and Retirement Study (HRS) Workshop DESCRIPTION:June 1-5\, 2026 M-F\n10:00am - $3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nIntroduction to the Health and Retirement Study (HRS) Workshop\n\nThe Health and Retirement Study (hrs.isr.umich.edu) workshop is intended to give participants an introduction to the study that will enable them to get started using the data for research. HRS is a large-scale longitudinal study with more than 20 years of data on the labor force participation and health transitions that individuals undergo toward the end of their work lives and in the years that follow. This online workshop is intended for users who have little to no experience using HRS data.\n\nContent lectures delivered by HRS co-investigators and content area experts on basic survey content\, sample design\, weighting\, and restricted data files will be available on the course website for viewing ahead of time. During the week of the workshop\, each content lecturer will participate in a Zoom meeting with the class to answer questions about their lecture. The majority of each day will be devoted to data labs in which participants will gain experience using the data\, with a strong focus on introductory data management and simple data analysis.\n\nAmanda Sonnega\, PhD\, is a Research Scientist in the Survey Research Center of the Institute for Social Research (ISR) at the University of Michigan (UM)\, where she is responsible for integrating communication\, outreach\, and education efforts for the Health and Retirement Study. She received her doctorate through the Department of Health\, Behavior\, and Society at the Johns Hopkins University and completed a postdoctoral fellowship within the ISR program in Social Environment and Health. Dr. Sonnega has lectured in the UM School of Public Health on psychosocial factors in health-related behavior. Her research focuses on life course trajectories of physical and mental health\; institutional and personal factors associated with vulnerability and resilience in aging individuals\; and work transitions and their broad effects on health and well-being. UID:148257-21903617@events.umich.edu URL:https://events.umich.edu/event/148257 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T131053 DTSTART;TZID=America/Detroit:20260605T130000 DTEND;TZID=America/Detroit:20260605T160000 SUMMARY:Class / Instruction:June 1-5 Course - Introduction to Qualitative Research Methods DESCRIPTION:June 1-5\, 2026\, M-F\n1:00-4:00pm \nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nIntroduction to Qualitative Research Methods\n\nThis introductory course provides students with a strong foundation in qualitative research\, covering principles of qualitative research\, study design including participant recruitment and sample size estimation. Students also learn how to design and conduct core data collection methods - in-depth interviews\, focus groups\, and observation – and a range of field tasks such as transcription and field training. Then writing and critiquing qualitative methods for academic work. The course is highly interactive\, emphasizing both the principles and skill development through applied activities. The course needs a minimum of 6 registrants and has an enrollment capacity of 10. \n\nDr. Monique Hennink is Professor in the Hubert Department of Global Health in the Rollins School of Public Health and Associated Faculty in Sociology at Emory University. She is also Visiting Professor at University of Michigan\, Department of Epidemiology\, and Instructor at the University of Columbia's EPISUMMER program in Epidemiology. She earned her PhD in Demography in the United Kingdom.\n\nDr Hennink was indicted into Emory’s MilliPub Club in 2023 and 2024 for two research papers. This honors faculty authors of a scientific publication with over 1\,000 citations - considered high impact scholarship. She received the 2020 Provost’s Distinguished Teaching Award for Excellence in Graduate and Professional Education at Emory University. She also received the 'Excellence in Research' Award in 2019 and the 'Excellence in Teaching' Award in 2016 at the Rollins School of Public Health.\n\nShe has particular expertise in applying qualitative research to examine public health issues. She has 30 years’ experience in the design\, conduct\, analysis\, and publication of qualitative health research. She has authored five textbooks on qualitative research\, including: Qualitative Research Methods 2nd edition (2020)\; Focus Group Discussions (2014)\, Qualitative Research Methods (2011) (also translated into Chinese) and International Focus Group Discussions (2007). She teaches graduate-level courses in qualitative research at Emory University. She developed the 'QUAL-WORKS' (https://sph.emory.edu/qual-works) training program in 2013 for public health professionals. Her courses\, workshops and books reflect the application of qualitative methods in globally diverse settings and provide guidance on how to balance methodological rigor with the practical realities of global research. She has also published on various methodological aspects of qualitative research\, such as using interpreters and translators in qualitative data collection\; the effect of using court reporters on data quality\; estimating sample size in qualitative studies\; and highlighting emerging methodological issues in focus group research. She has served as a board member for SAGE Publications on their ‘Cases in Methodology’ work and on the editorial board of the International Journal of Multiple Research Approaches. She co-chaired a three-year scientific panel for the International Union of the Scientific Study of Population (IUSSP)\, on ‘Qualitative Research in Population Studies’ which had a mandate to promote rigor in the use of qualitative methods in the discipline. She has led scientific sessions on qualitative research at key professional forums\, such as: International Congress of Qualitative Inquiry\; International Institute for Qualitative Methods\; European Association of Population Studies\; and the International Union for the Scientific Study of Population.\n\nTextbook Information: Hennink\, Hutter & Bailey (2020) 2nd Ed. Qualitative Research Methods. Sage Publications\; Ritchie et al (2014) Qualitative Research Practice: A Guide for Social Science Students & Researchers. Second Edition\; Emerson et al (2011) Writing Ethnographic Fieldnotes\; Rubin & Rubin (2012) Qualitative Interviewing. The Art of Hearing Data. Third Edition\; Hennink (2014) Focus Group Discussions. Oxford University Press UID:148255-21903613@events.umich.edu URL:https://events.umich.edu/event/148255 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260605T130000 DTEND;TZID=America/Detroit:20260605T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903545@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130858 DTSTART;TZID=America/Detroit:20260606T100000 DTEND;TZID=America/Detroit:20260606T130000 SUMMARY:Class / Instruction:June 1-10\, 2026 MWF Course - Data Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences DESCRIPTION:June 1-10\, 2026 MWF\n10:00am - 1:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nData Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences\n\nThe recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals\, in real time\, and may also reduce participant burden. In this course\, we will provide examples of the utility of and integration of wearables\, sensors\, and apps in research settings. Examples will include the use of wearable health devices to measure activity\, apps for ecological momentary assessment\, and smartphone sensors to measure sound and movement\, among others. Additionally\, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage\, participation\, and measurement error when integrating wearables\, sensors\, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.\n\nHeidi Guyer is Senior Public Health Research Scientist at RTI International. Before joining RTI\, she was a Senior Survey Director and oversaw data collection on large national and international health research projects at the University of Michigan. She received a PhD in Epidemiology from the University of Michigan and a Master of Public Health from the University of Texas. She has extensive experience in population-based data collection\, cross-sectional and longitudinal health surveys\, and adapting clinical measures and new technology in health research. Her substantive areas of research have focused on the association between health behaviors\, such as sleep and diet quality\, and the development of chronic health conditions. UID:148256-21903605@events.umich.edu URL:https://events.umich.edu/event/148256 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260606T130000 DTEND;TZID=America/Detroit:20260606T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903546@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130858 DTSTART;TZID=America/Detroit:20260607T100000 DTEND;TZID=America/Detroit:20260607T130000 SUMMARY:Class / Instruction:June 1-10\, 2026 MWF Course - Data Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences DESCRIPTION:June 1-10\, 2026 MWF\n10:00am - 1:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nData Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences\n\nThe recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals\, in real time\, and may also reduce participant burden. In this course\, we will provide examples of the utility of and integration of wearables\, sensors\, and apps in research settings. Examples will include the use of wearable health devices to measure activity\, apps for ecological momentary assessment\, and smartphone sensors to measure sound and movement\, among others. Additionally\, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage\, participation\, and measurement error when integrating wearables\, sensors\, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.\n\nHeidi Guyer is Senior Public Health Research Scientist at RTI International. Before joining RTI\, she was a Senior Survey Director and oversaw data collection on large national and international health research projects at the University of Michigan. She received a PhD in Epidemiology from the University of Michigan and a Master of Public Health from the University of Texas. She has extensive experience in population-based data collection\, cross-sectional and longitudinal health surveys\, and adapting clinical measures and new technology in health research. Her substantive areas of research have focused on the association between health behaviors\, such as sleep and diet quality\, and the development of chronic health conditions. UID:148256-21903606@events.umich.edu URL:https://events.umich.edu/event/148256 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260607T130000 DTEND;TZID=America/Detroit:20260607T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903547@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130858 DTSTART;TZID=America/Detroit:20260608T100000 DTEND;TZID=America/Detroit:20260608T130000 SUMMARY:Class / Instruction:June 1-10\, 2026 MWF Course - Data Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences DESCRIPTION:June 1-10\, 2026 MWF\n10:00am - 1:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nData Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences\n\nThe recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals\, in real time\, and may also reduce participant burden. In this course\, we will provide examples of the utility of and integration of wearables\, sensors\, and apps in research settings. Examples will include the use of wearable health devices to measure activity\, apps for ecological momentary assessment\, and smartphone sensors to measure sound and movement\, among others. Additionally\, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage\, participation\, and measurement error when integrating wearables\, sensors\, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.\n\nHeidi Guyer is Senior Public Health Research Scientist at RTI International. Before joining RTI\, she was a Senior Survey Director and oversaw data collection on large national and international health research projects at the University of Michigan. She received a PhD in Epidemiology from the University of Michigan and a Master of Public Health from the University of Texas. She has extensive experience in population-based data collection\, cross-sectional and longitudinal health surveys\, and adapting clinical measures and new technology in health research. Her substantive areas of research have focused on the association between health behaviors\, such as sleep and diet quality\, and the development of chronic health conditions. UID:148256-21903607@events.umich.edu URL:https://events.umich.edu/event/148256 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260608T130000 DTEND;TZID=America/Detroit:20260608T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903548@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130858 DTSTART;TZID=America/Detroit:20260609T100000 DTEND;TZID=America/Detroit:20260609T130000 SUMMARY:Class / Instruction:June 1-10\, 2026 MWF Course - Data Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences DESCRIPTION:June 1-10\, 2026 MWF\n10:00am - 1:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nData Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences\n\nThe recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals\, in real time\, and may also reduce participant burden. In this course\, we will provide examples of the utility of and integration of wearables\, sensors\, and apps in research settings. Examples will include the use of wearable health devices to measure activity\, apps for ecological momentary assessment\, and smartphone sensors to measure sound and movement\, among others. Additionally\, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage\, participation\, and measurement error when integrating wearables\, sensors\, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.\n\nHeidi Guyer is Senior Public Health Research Scientist at RTI International. Before joining RTI\, she was a Senior Survey Director and oversaw data collection on large national and international health research projects at the University of Michigan. She received a PhD in Epidemiology from the University of Michigan and a Master of Public Health from the University of Texas. She has extensive experience in population-based data collection\, cross-sectional and longitudinal health surveys\, and adapting clinical measures and new technology in health research. Her substantive areas of research have focused on the association between health behaviors\, such as sleep and diet quality\, and the development of chronic health conditions. UID:148256-21903608@events.umich.edu URL:https://events.umich.edu/event/148256 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260609T130000 DTEND;TZID=America/Detroit:20260609T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903549@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130858 DTSTART;TZID=America/Detroit:20260610T100000 DTEND;TZID=America/Detroit:20260610T130000 SUMMARY:Class / Instruction:June 1-10\, 2026 MWF Course - Data Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences DESCRIPTION:June 1-10\, 2026 MWF\n10:00am - 1:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course. \n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nData Collection Using Wearables\, Sensors\, and Apps in the Social\, Behavioral\, and Health Sciences\n\nThe recent proliferation of mobile technology allows researchers to collect objective health and behavioral data at increased intervals\, in real time\, and may also reduce participant burden. In this course\, we will provide examples of the utility of and integration of wearables\, sensors\, and apps in research settings. Examples will include the use of wearable health devices to measure activity\, apps for ecological momentary assessment\, and smartphone sensors to measure sound and movement\, among others. Additionally\, this course will consider the integration of these new technologies into existing surveys and the quality of the data collected from the total survey error perspective. We will discuss considerations for assessing coverage\, participation\, and measurement error when integrating wearables\, sensors\, and apps in a research setting as well as the costs and privacy considerations when collecting these types of data. Participants will work in groups to discuss a research study design using new technology and have the opportunity for hands-on practice with sensor data.\n\nHeidi Guyer is Senior Public Health Research Scientist at RTI International. Before joining RTI\, she was a Senior Survey Director and oversaw data collection on large national and international health research projects at the University of Michigan. She received a PhD in Epidemiology from the University of Michigan and a Master of Public Health from the University of Texas. She has extensive experience in population-based data collection\, cross-sectional and longitudinal health surveys\, and adapting clinical measures and new technology in health research. Her substantive areas of research have focused on the association between health behaviors\, such as sleep and diet quality\, and the development of chronic health conditions. UID:148256-21903609@events.umich.edu URL:https://events.umich.edu/event/148256 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260610T130000 DTEND;TZID=America/Detroit:20260610T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903550@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260611T130000 DTEND;TZID=America/Detroit:20260611T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903551@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260612T130000 DTEND;TZID=America/Detroit:20260612T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903552@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260613T130000 DTEND;TZID=America/Detroit:20260613T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903553@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260614T130000 DTEND;TZID=America/Detroit:20260614T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903554@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260615T130000 DTEND;TZID=America/Detroit:20260615T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903555@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260616T130000 DTEND;TZID=America/Detroit:20260616T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903556@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260617T130000 DTEND;TZID=America/Detroit:20260617T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903557@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260618T130000 DTEND;TZID=America/Detroit:20260618T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903558@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260619T130000 DTEND;TZID=America/Detroit:20260619T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903559@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260620T130000 DTEND;TZID=America/Detroit:20260620T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903560@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260621T130000 DTEND;TZID=America/Detroit:20260621T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903561@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260622T130000 DTEND;TZID=America/Detroit:20260622T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903562@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT BEGIN:VEVENT DTSTAMP:20260513T130729 DTSTART;TZID=America/Detroit:20260623T130000 DTEND;TZID=America/Detroit:20260623T150000 SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH Course - Sampling in Practice DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo learn how to design and select a probability sample involving complex sampling techniques in a survey project\, and receive expert feedback on a sampling report. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/. UID:148265-21903563@events.umich.edu URL:https://events.umich.edu/event/148265 CLASS:PUBLIC STATUS:CONFIRMED CATEGORIES:Data LOCATION:Off Campus Location CONTACT: END:VEVENT END:VCALENDAR