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        "time_zone":"America\/Detroit",
        "event_title":"RCGD Seminar Series on Social Connection: Chris Dunkel Schetter",
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        "combined_title":"RCGD Seminar Series on Social Connection: Chris Dunkel Schetter: Prenatal and Preconception Stress and Anxiety: Consequences for Women and Offspring",
        "event_subtitle":"Prenatal and Preconception Stress and Anxiety: Consequences for Women and Offspring",
        "event_type":"Workshop \/ Seminar",
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        "description":"Chris Dunkel Schetter\r\nUCLA, RCGD\r\n\r\nFeb. 23, 2026\r\n\r\nABOUT THE SERIES\r\n\r\nThe Winter 2026 RCGD Seminar Series: The Ties that Bond: Interdisciplinary Perspectives on Social Connection\r\n\r\nThis seminar series brings together senior and early-career scholars to explore fundamental questions about how we connect, protect, and care. Talks will highlight lifespan and comparative approaches to understanding social connection, physiological implications of social and race-related stressors, and diverse conceptualizations of what it means to belong\u2014from romantic and parent\u2013child relationships to group and societal dynamics to technology-mediated interactions.\r\n\r\nRobin Edelstein, Professor of Psychology at the University of Michigan and an affiliate of the Research Center for Group Dynamics, has organized this series. She will introduce the series at this kick-off event that doubles as a faculty meeting.\r\n\r\nThe first seminar in the series will be Jan. 26. Join us on Mondays to learn about the biological, social, and developmental pathways that shape human connection.\r\n\r\nThese events are held Mondays from 3:30 to 5.\r\nIn person: ISR Thompson 1430, unless otherwise specified.\r\nOrganized by Robin Edelstein\r\nAs permissions allow, seminars are later posted to our YouTube playlist.",
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        "tags":["Biopsychology, Cognition, And Neuroscience (Bcn)","Women's Studies","Social Sciences","Psychology","Medicine","Life Science","Biology"],
        "website":"https:\/\/rcgd.isr.umich.edu\/",
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        "datetime_modified":"20260220T100724",
        "datetime_start":"20260223T153000",
        "datetime_end":"20260223T163000",
        "has_end_time":1,
        "date_start":"2026-02-23",
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        "time_start":"15:30:00",
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        "time_zone":"America\/Detroit",
        "event_title":"The \u2018First Proof\u2019 Experiment",
        "occurrence_title":"",
        "combined_title":"The \u2018First Proof\u2019 Experiment: Rachel Ward, W. A. \"Tex\" Moncrief, Jr. Distinguished Professorship in Computational Engineering and Sciences - Data Science University of Texas, Austin",
        "event_subtitle":"Rachel Ward, W. A. \"Tex\" Moncrief, Jr. Distinguished Professorship in Computational Engineering and Sciences - Data Science University of Texas, Austin",
        "event_type":"Lecture \/ Discussion",
        "event_type_id":"13",
        "description":"During the first part of this talk, we will provide some background on how modern generative AI chatbot systems work, focusing on the setting of answering math questions. We then focus on the current state of \u201cAI and math.\u201d  While it is clear that AI systems are at least helpful assistants for some parts of research mathematics, their ability to answer research-level math questions without an expert in the loop is less clear.  To assess this, we are running a community experiment called \u201cFirst Proof\u201d, where we have shared a set of ten math questions which have arisen naturally in the research process of the authors but which had not appeared publicly until February 7, 2026.   Answers to the questions are known to the authors of the questions, but will remain encrypted for one week, while the experiment is running.  We will discuss the set-up and initial outcomes from the experiment, and finally discuss next steps for further assessments.\n\nAbout the speaker: Rachel Ward is a professor of mathematics and holds a distinguished professorship in Data Science at the Oden Institute for Computational Engineering and Sciences at UT Austin.  From 2023-2025, she was on leave as Principal Researcher at Microsoft Research.  From 2017-2018 she was a visiting Researcher at Facebook AI Research.  Her research interests include optimization, randomized numerical linear algebra, theoretical machine learning, and AI + Math.",
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        "tags":["College Of Engineering","Computer Engineering","Electrical And Computer Engineering","Electrical Engineering and Computer Science","engineering"],
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