{ "114140-21832388": { "datetime_modified":"20250221T154833", "datetime_start":"20250225T110000", "datetime_end":"20250225T140000", "has_end_time":1, "date_start":"2025-02-25", "date_end":"2025-02-25", "time_start":"11:00:00", "time_end":"14:00:00", "time_zone":"America\/Detroit", "event_title":"Stay in the Blue Pop-Up", "occurrence_title":"", "combined_title":"Stay in the Blue Pop-Up: Plan ahead!", "event_subtitle":"Plan ahead!", "event_type":"Well-being", "event_type_id":"12", "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.\r\n\r\nhttps:\/\/wolverinewellness.umich.edu\/ \r\nhttps:\/\/wolverinewellness.umich.edu\/stay-in-the-blue", "occurrence_notes":null, "guid":"114140-21832388@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/114140", "building_id":"1000158", "building_name":"Chemistry Dow Lab", "campus_maps_id":"34", "room":"Atrium", "location_name":"Chemistry Dow Lab", "has_livestream":0, "cost":"", "tags":["Wellness","Well-being","St Patrick's Day"], "website":"", "sponsors":[ { "group_name":"Wolverine Wellness", "group_id":"1077", "website":"" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2024\/03\/event_114140_original-2.png", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2024\/03\/event_114140_original-2.png", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2024\/03\/event_114140_original-2.png", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/event_large_2x\/media\/attachments\/2024\/03\/event_114140_original-2.png", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2024\/03\/event_114140_original-2.png", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/group_thumb\/media\/attachments\/2024\/03\/event_114140_original-2.png", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/group_thumb_square\/media\/attachments\/2024\/03\/event_114140_original-2.png", "group_large":"https:\/\/events.umich.edu\/media\/cache\/group_large\/media\/attachments\/2024\/03\/event_114140_original-2.png", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/group_large_lightbox\/media\/attachments\/2024\/03\/event_114140_original-2.png", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/event_large_crop\/media\/attachments\/2024\/03\/event_114140_original-2.png", "event_list":"https:\/\/events.umich.edu\/media\/cache\/event_list\/media\/attachments\/2024\/03\/event_114140_original-2.png", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2024\/03\/event_114140_original-2.png", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/event_grid\/media\/attachments\/2024\/03\/event_114140_original-2.png", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/event_grid_2x\/media\/attachments\/2024\/03\/event_114140_original-2.png", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/event_feature_large\/media\/attachments\/2024\/03\/event_114140_original-2.png", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_feature_thumb\/media\/attachments\/2024\/03\/event_114140_original-2.png" }, "occurrence_count":3, "first_occurrence":21832388 } , "84303-21621528": { "datetime_modified":"20240130T121551", "datetime_start":"20250225T110000", "datetime_end":"20250225T170000", "has_end_time":1, "date_start":"2025-02-25", "date_end":"2025-02-25", "time_start":"11:00:00", "time_end":"17:00:00", "time_zone":"America\/Detroit", "event_title":"Unsettling Histories: Legacies of Slavery and Colonialism", "occurrence_title":"", "combined_title":"Unsettling Histories: Legacies of Slavery and Colonialism", "event_subtitle":"", "event_type":"Exhibition", "event_type_id":"7", "description":"Organized as a response to the Museum\u2019s recent acquisition of Titus Kaphar\u2019s 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\u2019t 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.\u00a0\u00a0\n \nIn this online exhibition, you can explore our efforts to deeply question the Museum\u2019s collection and our own past complicity in favoring colonial voices. In the Museum gallery, which will open in early 2021, you\u2019ll be able to experience the changes we\u2019re making to the physical space to highlight a more honest version of European and American history.\u00a0\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.\u00a0\n \n\u201cInvisible things are not necessarily \u2018not there\u2019.... 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.\u201d\u00a0\n \n\u2014 Toni Morrison\n\nLead support for Unsettling Histories: Legacies of Slavery and Colonialism\u00a0is provided by the University of Michigan Office of the Provost,\u00a0the U-M Arts Initiative, and the Susan and Richard Gutow Endowed Fund.\n\u00a0", "occurrence_notes":null, "guid":"84303-21621528@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/84303", "building_id":"1000151", "building_name":"Museum of Art", "campus_maps_id":"11", "room":"European and American Decorative Art", "location_name":"Museum of Art", "has_livestream":0, "cost":"", "tags":["Art","UMMA","Museum","History","European","Exhibition"], "website":"https:\/\/www.facebook.com\/ummamuseum\/", "sponsors":[ { "group_name":"University of Michigan Museum of Art (UMMA)", "group_id":"1177", "website":"http:\/\/www.umma.umich.edu\/" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2022\/08\/event_84303_original-5.jpg", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2022\/08\/event_84303_original-5.jpg", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2022\/08\/event_84303_original-5.jpg", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/event_large_2x\/media\/attachments\/2022\/08\/event_84303_original-5.jpg", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2022\/08\/event_84303_original-5.jpg", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/group_thumb\/media\/attachments\/2022\/08\/event_84303_original-5.jpg", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/group_thumb_square\/media\/attachments\/2022\/08\/event_84303_original-5.jpg", "group_large":"https:\/\/events.umich.edu\/media\/cache\/group_large\/media\/attachments\/2022\/08\/event_84303_original-5.jpg", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/group_large_lightbox\/media\/attachments\/2022\/08\/event_84303_original-5.jpg", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/event_large_crop\/media\/attachments\/2022\/08\/event_84303_original-5.jpg", "event_list":"https:\/\/events.umich.edu\/media\/cache\/event_list\/media\/attachments\/2022\/08\/event_84303_original-5.jpg", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2022\/08\/event_84303_original-5.jpg", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/event_grid\/media\/attachments\/2022\/08\/event_84303_original-5.jpg", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/event_grid_2x\/media\/attachments\/2022\/08\/event_84303_original-5.jpg", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/event_feature_large\/media\/attachments\/2022\/08\/event_84303_original-5.jpg", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_feature_thumb\/media\/attachments\/2022\/08\/event_84303_original-5.jpg" }, "occurrence_count":470, "first_occurrence":21621195 } , "132881-21872012": { "datetime_modified":"20250225T112049", "datetime_start":"20250225T120000", "datetime_end":"20250225T130000", "has_end_time":1, "date_start":"2025-02-25", "date_end":"2025-02-25", "time_start":"12:00:00", "time_end":"13:00:00", "time_zone":"America\/Detroit", "event_title":"\"Brown Bag\" Seminar with Wei Jin, PhD", "occurrence_title":"\"Brown Bag\" Seminar with Wei Jin, PhD (In-Person)", "combined_title":"\"Brown Bag\" Seminar with Wei Jin, PhD: \"Brown Bag\" Seminar with Wei Jin, PhD (In-Person)", "event_subtitle":"", "event_type":"Workshop \/ Seminar", "event_type_id":"21", "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\u2019s identifiability, utility, and robustness, highlighting its value in advancing precision medicine.\nNOTE: Lunch will be provided after the seminar for all attendees.", "occurrence_notes":null, "guid":"132881-21872012@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/132881", "building_id":"", "building_name":"", "campus_maps_id":"", "room":"", "location_name":"SPH I, Room 1680 (Cornely Community Room)", "has_livestream":0, "cost":"", "tags":["Sessions"], "website":"https:\/\/sessions.studentlife.umich.edu\/p\/track\/13819", "sponsors":[ { "group_name":"Sessions @ Michigan", "group_id":"4791", "website":"https:\/\/sessions.studentlife.umich.edu\/" } ], "image_url":"", "styled_images":{ "event_thumb":"", "event_large":"", "event_large_2x":"", "event_large_lightbox":"", "group_thumb":"", "group_thumb_square":"", "group_large":"", "group_large_lightbox":"", "event_large_crop":"", "event_list":"", "event_list_2x":"", "event_grid":"", "event_grid_2x":"", "event_feature_large":"", "event_feature_thumb":"" }, "occurrence_count":2, "first_occurrence":21872012 } , "132881-21872013": { "datetime_modified":"20250225T112049", "datetime_start":"20250225T120000", "datetime_end":"20250225T130000", "has_end_time":1, "date_start":"2025-02-25", "date_end":"2025-02-25", "time_start":"12:00:00", "time_end":"13:00:00", "time_zone":"America\/Detroit", "event_title":"\"Brown Bag\" Seminar with Wei Jin, PhD", "occurrence_title":"\"Brown Bag\" Seminar with Wei Jin, PhD (Virtual)", "combined_title":"\"Brown Bag\" Seminar with Wei Jin, PhD: \"Brown Bag\" Seminar with Wei Jin, PhD (Virtual)", "event_subtitle":"", "event_type":"Workshop \/ Seminar", "event_type_id":"21", "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. 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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.", "occurrence_notes":null, "guid":"132092-21869944@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/132092", "building_id":"1000172", "building_name":"Rackham Graduate School (Horace H.)", "campus_maps_id":"71", "room":"", "location_name":"Rackham Graduate School (Horace H.)", "has_livestream":0, "cost":"", "tags":["Graduate Students"], "website":"https:\/\/rackham.umich.edu\/event\/central-campus-lunch-with-the-deans\/", "sponsors":[ { "group_name":"Rackham Graduate School", "group_id":"1187", "website":"https:\/\/www.facebook.com\/umichgradschool" } ], "image_url":"", "styled_images":{ "event_thumb":"", "event_large":"", "event_large_2x":"", "event_large_lightbox":"", "group_thumb":"", "group_thumb_square":"", "group_large":"", "group_large_lightbox":"", "event_large_crop":"", "event_list":"", "event_list_2x":"", "event_grid":"", "event_grid_2x":"", "event_feature_large":"", "event_feature_thumb":"" }, "occurrence_count":1, "first_occurrence":21869944 } , "131126-21868089": { "datetime_modified":"20250116T182047", "datetime_start":"20250225T120000", "datetime_end":"20250225T180000", "has_end_time":1, "date_start":"2025-02-25", "date_end":"2025-02-25", "time_start":"12:00:00", "time_end":"18:00:00", "time_zone":"America\/Detroit", "event_title":"Colorism Multimedia Exhibit", "occurrence_title":"", "combined_title":"Colorism Multimedia Exhibit: Prof. Rog\u00e9rio Pinto, Social Work", "event_subtitle":"Prof. Rog\u00e9rio Pinto, Social Work", "event_type":"Exhibition", "event_type_id":"7", "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. Rog\u00e9rio 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.", "occurrence_notes":"The gallery in closed on Sundays but opened on Saturdays.", "guid":"131126-21868089@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/131126", "building_id":"1000396", "building_name":"Duderstadt Center", "campus_maps_id":"181", "room":"", "location_name":"Duderstadt Center", "has_livestream":0, "cost":"", "tags":["Art","Diversity Equity and Inclusion","Exhibition","In Person","Storytelling","Visual Arts"], "website":"https:\/\/www.socialjusticearts.org\/", "sponsors":[ { "group_name":"Self-Healing and Social Justice Art Collective", "group_id":"4998", "website":"https:\/\/www.socialjusticearts.org\/" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2025\/01\/event_131126_original-1.jpeg", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2025\/01\/crop-event_131126_original-1.jpeg", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2025\/01\/crop-event_131126_original-1.jpeg", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/event_large_2x\/media\/attachments\/2025\/01\/crop-event_131126_original-1.jpeg", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2025\/01\/crop-event_131126_original-1.jpeg", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/group_thumb\/media\/attachments\/2025\/01\/crop-event_131126_original-1.jpeg", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/group_thumb_square\/media\/attachments\/2025\/01\/crop-event_131126_original-1.jpeg", "group_large":"https:\/\/events.umich.edu\/media\/cache\/group_large\/media\/attachments\/2025\/01\/crop-event_131126_original-1.jpeg", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/group_large_lightbox\/media\/attachments\/2025\/01\/crop-event_131126_original-1.jpeg", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/event_large_crop\/media\/attachments\/2025\/01\/crop-event_131126_original-1.jpeg", "event_list":"https:\/\/events.umich.edu\/media\/cache\/event_list\/media\/attachments\/2025\/01\/crop-event_131126_original-1.jpeg", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2025\/01\/crop-event_131126_original-1.jpeg", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/event_grid\/media\/attachments\/2025\/01\/crop-event_131126_original-1.jpeg", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/event_grid_2x\/media\/attachments\/2025\/01\/crop-event_131126_original-1.jpeg", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/event_feature_large\/media\/attachments\/2025\/01\/crop-event_131126_original-1.jpeg", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_feature_thumb\/media\/attachments\/2025\/01\/crop-event_131126_original-1.jpeg" }, "occurrence_count":23, "first_occurrence":21868078 } }