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DTSTART:20070311T020000
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BEGIN:VEVENT
DTSTAMP:20260508T161657
DTSTART;TZID=America/Detroit:20260818T080000
DTEND;TZID=America/Detroit:20260818T163000
SUMMARY:Exhibition:Celebrating Pride Month
DESCRIPTION:We are thrilled to announce that Pride Month is being celebrated in the Hatcher Library! See selected historical artifacts from the Joseph A. Labadie Collection.\n\nVisit our exhibit in the Special Collections Research Center\, 6th floor Hatcher South\, Monday-Friday\, 9am-4:30pm.
UID:148197-21903299@events.umich.edu
URL:https://events.umich.edu/event/148197
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Free,LGBT,Library
LOCATION:Hatcher Graduate Library - Special Collections Research Center, 6th floor
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260429T134150
DTSTART;TZID=America/Detroit:20260818T090000
DTEND;TZID=America/Detroit:20260818T100000
SUMMARY:Exercise / Fitness:Chair Aerobics/Stretch\, Strength & Balance/Zumba
DESCRIPTION:Lifetime Fitness classes are offered at Briarwood Mall in the JCPenney wing every Monday-Friday from 9-10am. No experience necessary. Classes are specifically designed for senior adults\, however\, everyone is welcome. LTF classes are free\, but please consider making a $2/person per class donation as our classes are supported strictly through donations. No registration is necessary\, simply attend when it fits your schedule.
UID:148012-21902832@events.umich.edu
URL:https://events.umich.edu/event/148012
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:fitness,Health & Wellness
LOCATION:Off Campus Location - JCPenney Wing
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260518T091620
DTSTART;TZID=America/Detroit:20260818T090000
DTEND;TZID=America/Detroit:20260818T170000
SUMMARY:Exhibition:Resistance is Fertile: Celebrating 30 Years of Cultivating Change
DESCRIPTION:Resistance Is Fertile honors the founding moment of the Institute for Research on Women & Gender\, while speaking to the present. The institute was established because faculty members believed that research on women\, gender\, and sexuality required an institutional commitment to thrive. That belief was itself a form of resistance—to disciplinary silos\, to marginalization\, to the idea that such scholarship was peripheral.\n\nThis theme reminds us that resistance is not merely reactive\; it is constructive. When rooted in collaboration and sustained through infrastructure\, it produces knowledge that reshapes disciplines\, institutions\, and public life.\n\nThis exhibit celebrates 30 years of IRWG—its history\, its programs\, and the people whose vision and labor built it into what it is today. Through archival materials\, milestones\, and stories\, we trace the evolution of an institute that has continually expanded the boundaries of research in women\, gender\, and sexuality.\n\nThis exhibit centers growth\, collaboration\, and intellectual creativity—honoring the sustained efforts\, bold ideas\, and collective care that have shaped IRWG’s legacy and continue to guide its future.\n\nHosted and sponsored by the Institute for Research on Women and Gender and the Department of Women’s and Gender Studies\, U-M. \n\nLocated on the first floor of Lane Hall (204 S. State Street)\, the Exhibit Space is free and open to the public\, M-F\, 9am-4pm.
UID:148280-21903782@events.umich.edu
URL:https://events.umich.edu/event/148280
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Activism,Gender Based Violence,gender,women,women's studies,Women's And Gender Studies,Women History
LOCATION:Lane Hall
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260508T155502
DTSTART;TZID=America/Detroit:20260818T090000
DTEND;TZID=America/Detroit:20260818T200000
SUMMARY:Exhibition:The People’s Bicentennial
DESCRIPTION:This selection of original artifacts documents the work of the Peoples Bicentennial Commission (PBC)\, which challenged the official\, corporate-sponsored commemoration of the 1976 bicentennial. This year we celebrate the 250th anniversary of the signing of the Declaration of Independence.\n\nItems on display are from the Joseph A. Labadie Collection\, which documents social protest movements and radical history.\n\nHOURS\nSunday 2-8pm\nMonday-Thursday 9am-8pm\nFriday 9am-4pm\nSaturday 11am-5pm
UID:147925-21902513@events.umich.edu
URL:https://events.umich.edu/event/147925
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:History,Library,Free
LOCATION:Hatcher Graduate Library - Hatcher Gallery Exhibit Room (1st floor)
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260803T145028
DTSTART;TZID=America/Detroit:20260818T100000
DTEND;TZID=America/Detroit:20260818T120000
SUMMARY:Lecture / Discussion:Statistical Methods for Interpretable Representation in Complex Data
DESCRIPTION:This dissertation develops novel statistical methodologies that provide interpretable representations of complex forms of data --- such as sparsely observed functional data\, panel data\, and notably multivariate data. While flexible methods aiming to capture complex intrinsic structures with minimal assumptions have been previously developed\, they often lack explicit and interpretable representations. Here\, we develop methods that address this gap. \n\nThe first part of the dissertation develops a method that allows sparsely observed functional responses to be used in a sufficient dimension reduction (SDR) regression. An inverse SDR procedure requires conditional means of the predictors given the functional responses. To accommodate the sparsely observed functional responses\, we use local averaging of the predictors with weights inferred by an auxiliary Gaussian process model. As the procedure entails a nested moment estimation\, it becomes computationally expensive with a kernel approach that depends on pairwise distances between responses. We view the moment estimation as a numerical integration problem and achieve scalability via a coarsening approach using anchor points on the response space. \n\nThe second part of the dissertation provides a method for constructing an interpretable approximation to the joint distribution of two random vectors. The method first represents each marginal distribution in finitely quantized form. Next\, we use a transport-based optimization to probabilistically map jointly observed data to the Cartesian grid of marginal quantizations. Finally\, we marginalize over the data to attain a representation on the quantizations. The method ultimately yields an approximation that preserves the marginal distribution structures and provides an interpretable representation of the dependence structure. \n\nThe third part of the dissertation revolves around the analysis of multi-level and panel data via distance-based statistics. First\, we develop a framework for using energy distance on spaces of probability distributions to analyze multi-level data. We then extend this idea to the setting of multivariate dyadic panel data\, where vector-valued observations are serially observed within paired units. In such data\, we decompose the dependence structure into between- and within-pair components. Second\, we propose an infinitesimal perturbation framework with case- and variable-weights to elucidate the findings of complex statistical analyses that lack a directly interpretable representation. We use this framework to identify the cases and variables that most strongly contribute to the structures captured by  distance-based statistics.
UID:149774-21907171@events.umich.edu
URL:https://events.umich.edu/event/149774
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Dissertation
LOCATION:West Hall - 470
CONTACT:
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