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BEGIN:VEVENT
DTSTAMP:20250221T154833
DTSTART;TZID=America/Detroit:20250225T110000
DTEND;TZID=America/Detroit:20250225T140000
SUMMARY:Well-being:Stay in the Blue Pop-Up
DESCRIPTION:Join Wolverine Wellness to talk about how you plan ahead for social gatherings!  Share your tips while you grab free well packs and snacks.  Chat with us a bit longer and enter to win $10 Blue Bucks.\n\nhttps://wolverinewellness.umich.edu/ \nhttps://wolverinewellness.umich.edu/stay-in-the-blue
UID:114140-21832388@events.umich.edu
URL:https://events.umich.edu/event/114140
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Wellness,Well-being,St Patrick's Day
LOCATION:Chemistry Dow Lab - Atrium
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20240130T121551
DTSTART;TZID=America/Detroit:20250225T110000
DTEND;TZID=America/Detroit:20250225T170000
SUMMARY:Exhibition:Unsettling Histories: Legacies of Slavery and Colonialism
DESCRIPTION:Organized as a response to the Museum’s recent acquisition of Titus Kaphar’s Flay (James Madison)\, this upcoming reinstallation of one of our most prominent gallery spaces forces us to grapple with our collection of European and American art\, 1650-1850.\n \nIn recent times\, growing public awareness of the continued reverberations of the legacy of slavery and colonization has challenged museums to examine the uncomfortable histories contained in our collections\, and challenged the public to probe the choices we make about those stories. Choices about which artists you see in our galleries\, choices about what relevant facts we share about the works\, and choices about what - out of an infinite number of options - we don’t say about them.\n \nPieces in this exhibition were made at a time when the world came to be shaped by the ideologies of colonial expansion and Western domination. And yet\, that history and the stories of those marginalized do not readily appear in the still lives and portraits on display here. By grappling with what is visible and what remains hidden\, we are forced to examine whose stories and histories are prioritized and why.  \n \nIn this online exhibition\, you can explore our efforts to deeply question the Museum’s collection and our own past complicity in favoring colonial voices. In the Museum gallery\, which will open in early 2021\, you’ll be able to experience the changes we’re making to the physical space to highlight a more honest version of European and American history. \n \nBy challenging our own practice\, and continuing to add to what we know and what we write about the works we display\, UMMA tells a more complex and more complete story of this nation - one that unsettles\, and fails to settle for\, simple narratives. \n \n“Invisible things are not necessarily ‘not there’.... Certain absences are so stressed\, so ornate\, so planned\, they call attention to themselves\; arrest us with intentionality and purpose\, like neighborhoods that are defined by the population held away from them.” \n \n— Toni Morrison\n\nLead support for Unsettling Histories: Legacies of Slavery and Colonialism is provided by the University of Michigan Office of the Provost\, the U-M Arts Initiative\, and the Susan and Richard Gutow Endowed Fund.\n 
UID:84303-21621528@events.umich.edu
URL:https://events.umich.edu/event/84303
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Art,UMMA,Museum,History,European,Exhibition
LOCATION:Museum of Art - European and American Decorative Art
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250225T112049
DTSTART;TZID=America/Detroit:20250225T120000
DTEND;TZID=America/Detroit:20250225T130000
SUMMARY:Workshop / Seminar:\"Brown Bag\" Seminar with Wei Jin\, PhD
DESCRIPTION:Johns Hopkins UniversityDepartment of Applied Mathematics and StatisticsPostdoctoral Fellow\nTitle: Robust Bayesian Learning for Individualized Treatment Rules Under Unmeasured Confounding\nAbstract: Data-driven personalized decision-making has become increasingly important in many scientific fields. Most existing methods rely on the assumption of no unmeasured confounding to establish causal inferences before proceeding with decision-making for identifying the optimal individualized treatment rule (ITR). However\, this assumption is often violated in practice\, especially in observational studies. While techniques like instrumental variables or proxy variables can help address unmeasured confounding\, such additional data sources are not always available. Moreover\, robustly learning the optimal ITR from observational data is challenging when data are unbalanced\, where certain combinations of treatments and patient characteristics are underrepresented. In this talk\, I will introduce a novel Bayesian approach to robustly learn the optimal ITR for continuous treatments under unmeasured confounding. For causal identification\, we propose a Bayesian causal model that achieves unique identification under certain mild distributional assumptions\, without requiring additional data sources. For policy optimization\, we develop a practical algorithm that robustly learns the optimal ITR by identifying a conservative policy. Through simulations and an application to a large-scale kidney transplantation dataset\, we demonstrate the proposed method’s identifiability\, utility\, and robustness\, highlighting its value in advancing precision medicine.\nNOTE: Lunch will be provided after the seminar for all attendees.
UID:132881-21872012@events.umich.edu
URL:https://events.umich.edu/event/132881
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Sessions
LOCATION:SPH I, Room 1680 (Cornely Community Room)
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250225T112049
DTSTART;TZID=America/Detroit:20250225T120000
DTEND;TZID=America/Detroit:20250225T130000
SUMMARY:Workshop / Seminar:\"Brown Bag\" Seminar with Wei Jin\, PhD
DESCRIPTION:Johns Hopkins UniversityDepartment of Applied Mathematics and StatisticsPostdoctoral Fellow\nTitle: Robust Bayesian Learning for Individualized Treatment Rules Under Unmeasured Confounding\nAbstract: Data-driven personalized decision-making has become increasingly important in many scientific fields. Most existing methods rely on the assumption of no unmeasured confounding to establish causal inferences before proceeding with decision-making for identifying the optimal individualized treatment rule (ITR). However\, this assumption is often violated in practice\, especially in observational studies. While techniques like instrumental variables or proxy variables can help address unmeasured confounding\, such additional data sources are not always available. Moreover\, robustly learning the optimal ITR from observational data is challenging when data are unbalanced\, where certain combinations of treatments and patient characteristics are underrepresented. In this talk\, I will introduce a novel Bayesian approach to robustly learn the optimal ITR for continuous treatments under unmeasured confounding. For causal identification\, we propose a Bayesian causal model that achieves unique identification under certain mild distributional assumptions\, without requiring additional data sources. For policy optimization\, we develop a practical algorithm that robustly learns the optimal ITR by identifying a conservative policy. Through simulations and an application to a large-scale kidney transplantation dataset\, we demonstrate the proposed method’s identifiability\, utility\, and robustness\, highlighting its value in advancing precision medicine.\nNOTE: Lunch will be provided after the seminar for all attendees.
UID:132881-21872013@events.umich.edu
URL:https://events.umich.edu/event/132881
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Sessions
LOCATION:Virtual
CONTACT:
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DTSTAMP:20250130T121527
DTSTART;TZID=America/Detroit:20250225T120000
DTEND;TZID=America/Detroit:20250225T130000
SUMMARY:Meeting:Central Campus Lunch with the Deans
DESCRIPTION:\nWant a chance to meet and chat with the Rackham Deans? Come join us at Lunch with the Deans series! The Rackham Student Government will be hosting two Lunch with the Deans events at the following dates and locations:\nStudents can provide their thoughts and ask questions. Students who are unable to attend\, but have questions for the Deans are encouraged to submit questions to us via email (rsg-exec@umich.edu) or in the RSVP. RSVP is highly recommended.\nRegister at https://myumi.ch/3QNEA.\n\nWe want to ensure full and equitable participation in our events. If an accommodation would promote your full participation in this event\, please follow the registration link to indicate your accommodation requirements. Please let us know as soon as possible in order to have adequate time\, preferably one week\, to arrange for your requested accommodations or an effective alternative.
UID:132092-21869944@events.umich.edu
URL:https://events.umich.edu/event/132092
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Graduate Students
LOCATION:Rackham Graduate School (Horace H.)
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250116T182047
DTSTART;TZID=America/Detroit:20250225T120000
DTEND;TZID=America/Detroit:20250225T180000
SUMMARY:Exhibition:Colorism Multimedia Exhibit
DESCRIPTION:Colorism comprises works of video\, still photography\, and sculpture questioning our psychosocial and biological ideas about skin color and treatment of people\, based on skin tones\, including within racial groups. This exhibit asks: What do we know about the root causes of prejudice toward skin color? What can we do to improve interpersonal and structural colorism? To answer these questions\, Prof. Rogério Pinto (Social Work) uses personal and historical materials and interview data to optimize audience interaction\, including critical dialogues around colorism while audiences are viewing the installation or immediately after viewing it.
UID:131126-21868089@events.umich.edu
URL:https://events.umich.edu/event/131126
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Art,Diversity Equity and Inclusion,Exhibition,In Person,Storytelling,Visual Arts
LOCATION:Duderstadt Center
CONTACT:
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