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        "event_title":"Race & Racial Ideologies Workshop",
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        "combined_title":"Race & Racial Ideologies Workshop",
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        "event_type_id":"21",
        "description":"January 22: Erykah Benson\r\nMarch 19: Kyle McCullers\r\nApril 2: Carlo Handy Charles\r\nApril 16: Vanessa Jim\u00e9nez-Read",
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        "event_title":"Jeremy Taylor Outstanding Research Mentor Award Featured Lecture with Tianxi Cai, PhD + Reception",
        "occurrence_title":"Jeremy Taylor Outstanding Research Mentor Award Featured Seminar with Tianxi Cai, PhD + Reception",
        "combined_title":"Jeremy Taylor Outstanding Research Mentor Award Featured Lecture with Tianxi Cai, PhD + Reception: Jeremy Taylor Outstanding Research Mentor Award Featured Seminar with Tianxi Cai, PhD + Reception",
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        "description":"The University of Michigan Department of Biostatistics is pleased to host Tianxi Cai, PhD (Harvard University), recipient of the 2025 Jeremy Taylor Outstanding Research Mentor Award, for a featured academic seminar on Thursday, January 22 at 3:30 p.m.\u00a0Dr. Cai is an internationally recognized leader in statistical learning, risk prediction, and the integration of electronic health records with genomic and clinical data. Her lecture will draw on her pioneering work in translational data science and precision medicine, reflecting both her methodological impact and her deep commitment to mentoring the next generation of statistical scientists.\u00a0A reception will follow the seminar. The reception is open only to those who attend the lecture.Toward Durable AI in Healthcare: Generalizable Learning from Imperfect EHR DataElectronic Health Record (EHR) data offers a promising foundation for real-world evidence, yet its utility is often severely limited by the reality of fragmented, imperfect data and significant heterogeneity across health systems. These inherent data flaws create major bottlenecks in generating evidence efficiently, often resulting in fragile models that are highly susceptible to data shift and rapid aging. Consequently, the challenge lies not just in accessing data, but in efficiently transforming these messy, disparate sources into reliable, enduring AI solutions.This presentation outlines a comprehensive strategy to overcome these limitations and derive robust clinical insights from imperfect data. We will discuss how representation learning can address data sparsity and fragmentation by extracting stable latent features from incomplete patient histories. To tackle system heterogeneity and ensure model longevity, we introduce robust transfer learning frameworks designed to immunize algorithms against distributional shifts. Furthermore, we demonstrate how leveraging knowledge networks can bridge gaps in fragmented data by grounding models in broader biomedical context. Complementing these structural approaches, we touch upon the use of Large Language Models (LLMs) to identify clinical outcomes not directly available in structured fields, solving the problem of unobserved endpoints. By integrating these diverse methodologies, we aim to establish a blueprint for efficiently building AI ecosystems that remain reliable and durable despite the complexities of real-world healthcare data.",
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        "event_title":"The Department of Astronomy 2025-2026 Colloquium Series Presents:",
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        "combined_title":"The Department of Astronomy 2025-2026 Colloquium Series Presents:: Dr. Darryl Seligman, Assistant Professor, Michigan State University",
        "event_subtitle":"Dr. Darryl Seligman, Assistant Professor, Michigan State University",
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        "description":"\"Divergent Small Bodies: Interstellar Interlopers and Dark Comets\"\r\n\r\nIn recent years, two entirely new classes of planetesimals have been discovered in the solar system: interstellar interlopers and dark comets. These still-enigmatic objects are challenging our understanding of the behavior and properties of comets and asteroids. In this talk, I will review what has been learned to date from the known interstellar objects and dark comets, highlighting the attributes that are difficult to reconcile with previous models of planetesimal behavior. In particular, I will focus on the discovery and characterization of the third interstellar object 3I\/ATLAS. I will discuss its properties in the context of the host population, with a focus on what it tells us about planet formation throughout the galaxy. The Rubin Observatory Legacy Survey of Space and Time (LSST) is poised to further transform our understanding of these classes of objects, and I will discuss the feasibility of future discoveries via ground-based observations as well as possible intercept missions.",
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        "event_title":"Colloquium: Geometry of Riemann surfaces through the lens of probability",
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        "combined_title":"Colloquium: Geometry of Riemann surfaces through the lens of probability: Yilin Wang, ETH Z\u00fcrich",
        "event_subtitle":"Yilin Wang, ETH Z\u00fcrich",
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        "event_title":"DE Seminar is the Colloquium: Geometry of Riemann surfaces through the lens of probability",
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        "combined_title":"DE Seminar is the Colloquium: Geometry of Riemann surfaces through the lens of probability: Yilin Wang, ETH Zurich",
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        "event_type_id":"21",
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        "event_title":"EEB Thursday Seminar Series - Bur oak evolution and its impact on the forest",
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        "combined_title":"EEB Thursday Seminar Series - Bur oak evolution and its impact on the forest: Andrew Hipp, The Morton Arboretum",
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        "event_title":"Gender: New Works, New Questions \u2014 Health Care Civil Rights: How Discrimination Law Fails Patients",
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        "description":"Join the Institute for Research on Women & Gender (IRWG) for Gender: New Works, New Questions, a timely book talk and conversation featuring Anna Kirkland\u2019s new book, Health Care Civil Rights: How Discrimination Law Fails Patients. Bringing together scholars from diverse disciplines, this discussion will examine how civil rights frameworks shape\u2014and often limit\u2014patients\u2019 access to equitable healthcare, with a particular focus on gender, sexuality, disability, and race.\r\n\r\nIn conversation with Patrick Grzanka and Rafe Neis, Kirkland will reflect on the book\u2019s central arguments and the broader questions it raises for scholars of gender, law, history, and social justice. Moderated by IRWG Director Melynda Price, the panel will explore what new research on gender can teach us about the promises and pitfalls of legal remedies, and how interdisciplinary approaches open new ways of thinking about care, rights, and responsibility.\r\n\r\n\r\nSpeakers:\r\nAnna Kirkland is the Kim Lane Scheppele Collegiate Professor of Women\u2019s and Gender Studies and an Arthur F. Thurnau Professor at the University of Michigan. She is the author of Health Care Civil Rights: How Discrimination Law Fails Patients and is widely recognized for her scholarship at the intersection of health policy, law, and gender studies.\r\n\r\nPatrick Grzanka is University Diversity and Social Transformation Professor; Professor of Women\u2019s and Gender Studies; and Professor of Psychology (by courtesy) at the University of Michigan. \r\n\r\nRafe Neis is Professor in the Department of History and the Frankel Center for Judaic Studies at the University of Michigan.",
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