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        "time_start":"15:00:00",
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        "time_zone":"America\/Detroit",
        "event_title":"Student Life Coaching Circles",
        "occurrence_title":"Budgeting and Financial Management",
        "combined_title":"Student Life Coaching Circles: Budgeting and Financial Management",
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        "event_type":"Workshop \/ Seminar",
        "event_type_id":"21",
        "description":"Join us for our annual Coaching Cirlces!\u00a0 Each coaching session will provide 8-10 staff members with an opportunity to interact informally with a Student Life Unit Director (or leader) around a leadership topic of interest to them. These are informal conversations (rather than workshops or presentations) between staff and these leaders who have experience with and willingness to share their wisdom around these topics.Staff are asked to register for no more than one coaching circle a semester. Space is very limited, register today!",
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        "location_name":"Union - Welker Room",
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        "website":"https:\/\/sessions.studentlife.umich.edu\/p\/track\/18070",
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        "date_end":"2026-11-04",
        "time_start":"15:30:00",
        "time_end":"17:00:00",
        "time_zone":"America\/Detroit",
        "event_title":"Algebraic Geometry Seminar: TBA",
        "occurrence_title":"",
        "combined_title":"Algebraic Geometry Seminar: TBA: Arend Bayer (University of Edinburgh)",
        "event_subtitle":"Arend Bayer (University of Edinburgh)",
        "event_type":"Workshop \/ Seminar",
        "event_type_id":"21",
        "description":"TBA",
        "occurrence_notes":null,
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        "datetime_start":"20261104T153000",
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        "event_title":"Nibi Anishinaabe Ikwewag Inaakonigewin",
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        "combined_title":"Nibi Anishinaabe Ikwewag Inaakonigewin: Water as a Sacred Spirit and the Role of Indigenous Women in Water Governance",
        "event_subtitle":"Water as a Sacred Spirit and the Role of Indigenous Women in Water Governance",
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        "description":"For generations, Anishnaabe Ikwewag (women) have carried a special responsibility to nibi (water), the giver of life and a connection among people, community, and the natural world. Join indigenous women from across the Great Lakes to explore this sacred relationship, the legacy of Nokimis Josephine Mandamin-ba and the water walkers, and the future of women-led water protection and stewardship. \n\nPanelists:\nMyrna Kicknosway, Elder, Faculty of Law, University of Windsor | Walpole Island First Nation\nAndrea Pierce, Deputy Director of Programming, Michigan Environmental Justice Coalition and Chair, Anishinaabek Caucus | Little Traverse Bay Bands of Odawa Indians\nDawn Martin Hill, Grandmother of 10, resides in Six Nations of the Grand River with her four children | Mohawk Wolf Clan\nJudy Da Silva, Elder, Award-Winning Activist, Community Leader | Grassy Narrows First Nation\n\nThis event is hosted by the Great Lakes Fishery Commission, the Global Center for Transboundary Waters, the Tishman Center for Social Justice and the Environment, and the Water Center. Refreshments will be served.",
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        "datetime_modified":"20260817T093853",
        "datetime_start":"20261104T153000",
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        "has_end_time":1,
        "date_start":"2026-11-04",
        "date_end":"2026-11-04",
        "time_start":"15:30:00",
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        "time_zone":"America\/Detroit",
        "event_title":"Study Abroad Info Session: GCC Brazil - Global Blackness",
        "occurrence_title":"Info Session: GCC Brazil - Global Blackness",
        "combined_title":"Study Abroad Info Session: GCC Brazil - Global Blackness: Info Session: GCC Brazil - Global Blackness",
        "event_subtitle":"",
        "event_type":"Other",
        "event_type_id":"22",
        "description":"Global Course Connections (GCCs) offer a unique opportunity to take what students learn on campus at U-M during the winter semester and apply it abroad in a fun and exciting hands-on class taught by a U-M professor during a 3-week, off-campus field experience that takes place during the following summer.\n\nJoin CGIS Advisor Juliana Mesa to learn more about the GCC Brazil - Global Blackness program, the application process, and the courses.\n\nThursday, October 8, 3:30 - 4:30 pm (Info Session)\u00a0\nFriday, October 23, 11:00 am - 12:00 pm (Info Session)\u00a0\nWednesday, November 4, 3:30 - 4:30 pm (Info Session)\u00a0\nFriday, December 4, 11:00 am - 12:00 pm\u00a0(Drop-in Group Advising)\nTuesday, December 8, 1:30 - 2:30 pm\u00a0(Drop-in Group Advising)\n\nThe GCC Brazil program is led and taught by Professor of Afroamerican and African Studies, Comparative Literature, and Francophone Studies, Frieda Ekotto.\u00a0Application Deadline: December 10, 2026",
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        "tags":["Abroad","african and african american studies","African Diaspora","Culture","Latin America","Sessions","South America","study abroad"],
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        "datetime_modified":"20261027T130831",
        "datetime_start":"20261104T160000",
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        "date_end":"2026-11-04",
        "time_start":"16:00:00",
        "time_end":"17:00:00",
        "time_zone":"America\/Detroit",
        "event_title":"CCMB\/DCMB Weekly Bioinformatics Seminar Series featuring Peter Toogood, PhD (Research Associate Professor and Director of Michigan Drug Discovery (MDD))",
        "occurrence_title":"",
        "combined_title":"CCMB\/DCMB Weekly Bioinformatics Seminar Series featuring Peter Toogood, PhD (Research Associate Professor and Director of Michigan Drug Discovery (MDD)): \"Applications of AI to Hit Finding in Drug Discovery Projects\"",
        "event_subtitle":"\"Applications of AI to Hit Finding in Drug Discovery Projects\"",
        "event_type":"Workshop \/ Seminar",
        "event_type_id":"21",
        "description":"High throughput screening (HTS) is a common starting point for small molecule drug discovery campaigns, especially when the biological target is new. HTS is commonly conducted in the wet lab (e.g. the U-M Center for Chemical Genomics), but also can be conducted in silico. These \"virtual screens\" are either structure-based, requiring a knowledge of the 3D structure of the biological target, or ligand-based, in which case having multiple overlapping ligands makes it easier to define the feature set that new ligands must match. In this talk, I will describe several applications of artificial intelligence\/machine learning to virtual screening in our projects seeking to identify new starting points for cancer drug discovery. In so doing, I will trace the evolution of these methods over the last decade from crude attempts at generative design to the application of frontier models like Claude Science.",
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        "building_name":"Medical Science Unit I",
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        "room":"4B700",
        "location_name":"Medical Science Unit I",
        "has_livestream":0,
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        "tags":["Artificial Intelligence","Basic Science","Bioinformatics","Drug Discovery","Gen Ai","Machine Learning"],
        "website":"https:\/\/medschool.umich.edu\/departments\/computational-medicine-bioinformatics\/ccmb-seminar-peter-toogood-phd-0",
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        "has_end_time":1,
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        "event_title":"Exploratory Optimal Reinsurance under the Mean-Variance Criterion",
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        "combined_title":"Exploratory Optimal Reinsurance under the Mean-Variance Criterion: Austin Riis-Due, Waterloo",
        "event_subtitle":"Austin Riis-Due, Waterloo",
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        "description":"This paper proposes a Reinforcement Learning (RL) approach to the optimal reinsurance problem\nwhen the insurer faces uncertainty about the insurance claim dynamics. To this end, we first formulate\nan exploratory version of the problem as a relaxed stochastic control problem. Within a broad class of\nparametric retention functions and general risk loading functions, we derive the closed-form equilibrium\npolicy under the continuous-time mean-variance criterion. This is achieved through a formal verification\ntheorem and solving classical solutions of a system of exploratory extended Hamilton-Jacobi-Bellman\n(EEHJB) equations. We then establish a policy iteration theorem, showing that starting from any timeand state-homogeneous policy, policy iteration converges to the derived equilibrium policy. Next, we\ndevelop a martingale orthogonality theorem, which serves as the foundation of our RL algorithm. The\nalgorithm is evaluated through simulation studies and real data from the U.S. National Flood Insurance\nProgram. Results demonstrate that the RL approach effectively learns unknown claim distributions,\ntracks unobserved changes in claim dynamics and produces higher insurer surplus trajectories than the\nmaximum likelihood estimation (MLE) approach while simultaneously exhibiting greater robustness to\nthe choice of training window.",
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        "event_title":"German Convo on the Go",
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        "tags":["European","German","German Studies","Germanic Languages And Literatures","Humanities","Language"],
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