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DTSTAMP:20260518T092027
DTSTART;TZID=America/Detroit:20260526T100000
DTEND;TZID=America/Detroit:20260526T110000
SUMMARY:Workshop / Seminar:Summer 2026 Workshop Series
DESCRIPTION:Join CAEN for a series of workshops designed to transform how you research\, teach\, and work using the University of Michigan’s secure GenAI services. Whether you are a beginner or looking to master \"Context Engineering\,\" these sessions provide the frameworks and hands-on experience needed to lead in the age of AI. These workshops are open to the campus community.  Secure & Private: All workshops utilize U-M’s GenAI services\, ensuring your prompts and data are never used to train external models.
UID:147694-21901610@events.umich.edu
URL:https://events.umich.edu/event/147694
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Sessions
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:Biomedical,Center For Political Studies,Data,Data Analysis,Data Collection,Data Curation,Data Linkage,Data Management,Data Science,Graduate,Graduate and Professional Students,Health,Health Data,Mathematics,Professional Development,Public Health,Research,Survey Methodology,Survey Methods,Survey Research
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,Data Analysis,Data Collection,Data Curation,Data Linkage,Data Management,Data Science,Graduate,Professional Development,Survey Methodology,Survey Methods,Survey Research
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260515T122010
DTSTART;TZID=America/Detroit:20260526T130000
DTEND;TZID=America/Detroit:20260526T140000
SUMMARY:Workshop / Seminar:MCDB Checkpoint 2 Seminar> Investigating the role of the proposed Cldn7–EpCAM–TROP2 (CET) adhesion complex in coordinating selective junctional remodeling in the mammary gland
DESCRIPTION:Checkpoint 2 Seminar: Harshita Ramchandani\nMentor: Junior West\, Assistant Professor MCDB
UID:148305-21903830@events.umich.edu
URL:https://events.umich.edu/event/148305
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Biology,Bsbsigns,Graduate Students
LOCATION:Biological Sciences Building - 3150
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260513T084945
DTSTART;TZID=America/Detroit:20260526T130000
DTEND;TZID=America/Detroit:20260526T150000
SUMMARY:Lecture / Discussion:Statistical Foundations for Microplastic Identification: Efficient Sampling and Distribution-Free Uncertainty Quantification
DESCRIPTION:Microplastics are an emerging pollutant of global concern\, with environmental particles documented across the world. Reliable identification of microplastic particles is essential for quantifying their prevalence and assessing environmental exposure\, yet current spectroscopic identification pipelines face several statistical challenges. Measurements can be costly and time-consuming\, commonly used spectral matching procedures often lack formal guarantees\, and environmental samples can vary over time and across locations. This dissertation develops statistical and machine learning methods for adaptive sampling and uncertainty quantification\, with a focus on improving the reliability and efficiency of microplastic spectral identification.\n\nFirst\, we study adaptive sampling through pure exploration problems in logistic bandits. We introduce Logistic Track-and-Stop\, the first track-and-stop algorithm for general pure exploration problems under a logistic bandit model. The method combines adaptive sampling with a stopping rule based on generalized likelihood ratio statistics and asymptotically matches an approximation to the instance-specific lower bound on expected sample complexity.\n\nSecond\, we develop and apply conformal prediction methods for microplastic spectral identification. We first apply conformal prediction to popular database matching pipelines\, highlighting the limitations of practitioner-selected similarity thresholds. We then extend the conformal prediction framework to ensemble and multi-view settings by aggregating nonconformity scores across multiple models or data modalities. In particular\, we apply multiview conformal prediction to photothermal infrared and Raman spectra\, producing more efficient and robust prediction sets than those obtained from single-view methods.\n\nThird\, we study online conformal prediction across multiple coverage levels. We leverage online optimization algorithms to enforce nestedness of prediction sets across the full risk spectrum while controlling quantile estimation error. Beyond improving interpretability\, jointly estimating multiple coverage levels can improve statistical efficiency by enforcing non-crossing constraints and sharing information across quantiles.\n\nTogether\, these contributions provide tools for accelerating microplastic identification and improving the reliability of the resulting scientific conclusions.
UID:148254-21903452@events.umich.edu
URL:https://events.umich.edu/event/148254
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Dissertation
LOCATION:West Hall - 438
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260330T091858
DTSTART;TZID=America/Detroit:20260526T140000
DTEND;TZID=America/Detroit:20260526T150000
SUMMARY:Workshop / Seminar:Accessibility in Action: Building an Inclusive Community at U-M
DESCRIPTION:This workshop will guide us through the ways accessibility shapes equity on campus and beyond. We’ll explore why disability matters\, define key concepts like ableism\, discuss universal design\, language and etiquette\, workplace accommodations\, and the role of the Disability Equity Office. Together\, we’ll learn how accessibility benefits everyone — not just those with disabilities.\n\nAmerican Sign Language (ASL) interpreting services and Communication Access Realtime Translation (CART) captioning services will be provided. If you need additional accommodations to participate in this webinar\, please email the ADA Coordinator at ADAcoordinator@umich.edu.
UID:146705-21899510@events.umich.edu
URL:https://events.umich.edu/event/146705
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Accessibility,Communication,Digital Accessibility,Disability,Discussion,Diversity,Inclusion,Neurodiversity,Virtual,Workshop
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260518T092027
DTSTART;TZID=America/Detroit:20260526T140000
DTEND;TZID=America/Detroit:20260526T150000
SUMMARY:Workshop / Seminar:Summer 2026 Workshop Series
DESCRIPTION:Join CAEN for a series of workshops designed to transform how you research\, teach\, and work using the University of Michigan’s secure GenAI services. Whether you are a beginner or looking to master \"Context Engineering\,\" these sessions provide the frameworks and hands-on experience needed to lead in the age of AI. These workshops are open to the campus community.  Secure & Private: All workshops utilize U-M’s GenAI services\, ensuring your prompts and data are never used to train external models.
UID:147694-21901611@events.umich.edu
URL:https://events.umich.edu/event/147694
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Sessions
LOCATION:
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260514T140512
DTSTART;TZID=America/Detroit:20260526T160000
DTEND;TZID=America/Detroit:20260526T171500
SUMMARY:Workshop / Seminar:LSA Transfer Information Session
DESCRIPTION:Join the LSA Transfer Recruitment Team for our virtual sessions where we will discuss LSA requirements\, transfer credit\, pre-transfer academic advising\, LSA opportunities and other transfer tidbits.\n\nRegistration is required. Register using link to the right
UID:141040-21902621@events.umich.edu
URL:https://events.umich.edu/event/141040
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Transfer Students
LOCATION:Off Campus Location
CONTACT:
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