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BEGIN:VEVENT
DTSTAMP:20250513T122307
DTSTART;TZID=America/Detroit:20250819T093000
DTEND;TZID=America/Detroit:20250819T110000
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:117253-21865844@events.umich.edu
URL:https://events.umich.edu/event/117253
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Data Linkage
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20250102T120705
DTSTART;TZID=America/Detroit:20250820T133000
DTEND;TZID=America/Detroit:20250820T150000
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:117252-21865897@events.umich.edu
URL:https://events.umich.edu/event/117252
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Data Linkage
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20250513T122307
DTSTART;TZID=America/Detroit:20250826T093000
DTEND;TZID=America/Detroit:20250826T110000
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:117253-21865845@events.umich.edu
URL:https://events.umich.edu/event/117253
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Data Linkage
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20250102T120705
DTSTART;TZID=America/Detroit:20250827T133000
DTEND;TZID=America/Detroit:20250827T150000
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:117252-21865898@events.umich.edu
URL:https://events.umich.edu/event/117252
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Data Linkage
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20250513T122307
DTSTART;TZID=America/Detroit:20250902T093000
DTEND;TZID=America/Detroit:20250902T110000
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:117253-21865846@events.umich.edu
URL:https://events.umich.edu/event/117253
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Data Linkage
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20250102T120705
DTSTART;TZID=America/Detroit:20250903T133000
DTEND;TZID=America/Detroit:20250903T150000
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:117252-21865899@events.umich.edu
URL:https://events.umich.edu/event/117252
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Data Linkage
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20250513T122307
DTSTART;TZID=America/Detroit:20250909T093000
DTEND;TZID=America/Detroit:20250909T110000
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:117253-21865847@events.umich.edu
URL:https://events.umich.edu/event/117253
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Data Linkage
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20250903T160500
DTSTART;TZID=America/Detroit:20250910T120000
DTEND;TZID=America/Detroit:20250910T130000
SUMMARY:Presentation:MPSDS JPSM Seminar Series - Where Granularity Matters: Calibrating Subdomain Inference for Binary Outcomes
DESCRIPTION:MPSDS JPSM Seminar Series\nMPSDS M3 Series\n\nSeptember 3\, 2025\n12:00 - 1:00 pm EST\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\nWhere Granularity Matters: Calibrating Subdomain Inference for Binary Outcomes\nSmall area estimation (SAE) helps us make accurate estimates for local communities or groups\, such as counties\, neighborhoods\, or demographic subgroups\, when there are not enough data for each area. This is important for targeting local resources and policies\, especially when national-level or large-area data mask variation at a more granular level. Researchers often fit hierarchical Bayesian models to stabilize estimates when data are sparse. Ideally\, Bayesian procedures also exhibit good frequentist properties\, as demonstrated by calibrated Bayes techniques. However\, hierarchical Bayesian models tend to shrink subdomain estimates toward the overall mean and may produce credible intervals that do not maintain nominal coverage. Hoff et al. developed the Frequentist\, but Assisted by Bayes (FAB) intervals for subgroup estimates with normally distributed outcomes. However\, non-normally distributed data present new challenges\, and multiple types of intervals have been proposed for estimating proportions. We examine subdomain inference with binary outcomes and extend FAB intervals to improve nominal coverage and estimation efficiency. We describe how to numerically compute FAB intervals in the binary case and demonstrate their improvement through repeated simulation studies. Finally\, we apply the proposed methods to estimate COVID-19 infection rates in subgroups\, based on geography and demographic characteristics. This is joint work with Rayleigh Lei.\n\nYajuan Si is a Research Associate Professor in the Institute for Social Research at the University of Michigan. Yajuan’s research lies in cutting-edge methodology development in streams of Bayesian statistics\, linking design- and model-based approaches to survey inference\, data integration\, missing data analysis\, confidentiality protection involving the creation and analysis of synthetic datasets\, and causal inference with observational data. She regularly teaches courses on statistics and sampling in the Michigan Program in Survey and Data Science and the Joint Program in Survey Methodology.
UID:138682-21883610@events.umich.edu
URL:https://events.umich.edu/event/138682
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Data Linkage
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20250102T120705
DTSTART;TZID=America/Detroit:20250910T133000
DTEND;TZID=America/Detroit:20250910T150000
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:117252-21865900@events.umich.edu
URL:https://events.umich.edu/event/117252
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Data Linkage
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
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 Linkage
LOCATION:
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 Linkage
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 Linkage
LOCATION:
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 Linkage
LOCATION:Off Campus Location
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 Linkage
LOCATION:
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 Linkage
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 Linkage
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 Linkage
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 Linkage
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 Linkage
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 Linkage
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 Linkage
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 Linkage
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 Linkage
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 Linkage
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 Linkage
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 Linkage
LOCATION:Off Campus Location
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 Linkage
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 Linkage
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 Linkage
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 Linkage
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 Linkage
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 Linkage
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 Linkage
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 Linkage
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 Linkage
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 Linkage
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 Linkage
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 Linkage
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 Linkage
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 Linkage
LOCATION:Off Campus Location
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 Linkage
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 Linkage
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 Linkage
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 Linkage
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 Linkage
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 Linkage
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 Linkage
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 Linkage
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 Linkage
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 Linkage
LOCATION:
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 Linkage
LOCATION:Off Campus Location
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 Linkage
LOCATION:Off Campus Location - Room 1070, Institute for Social Research
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 Linkage
LOCATION:Off Campus Location - Room 1070, Institute for Social Research
CONTACT:
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END:VCALENDAR