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DTSTAMP:20251008T143834
DTSTART;TZID=America/Detroit:20251112T120000
DTEND;TZID=America/Detroit:20251112T130000
SUMMARY:Presentation:LRCCS Occasional Lecture Series | Transgender in Late Imperial China
DESCRIPTION:Attend in person or via Zoom: https://myumi.ch/D8RV8\n\nThrough court cases\, fiction\, and late-Qing newspaper accounts\, Matthew Sommer’s new book considers a range of transgender experiences in Imperial China\, illuminating how certain forms of gender transgression were sanctioned in particular contexts and penalized in others. People moved away from the gender they were assigned at birth in different ways and for many reasons. Eunuchs\, boy actresses\, and clergy left behind normative gender roles defined by family and procreation. Anatomical males who presented as women sometimes took a conventionally female occupation such as midwife\, faith healer\, or even medium to a fox spirit — yet\, suspected of sexual predation\, they risked death for the crime of “masquerading in women’s attire\,” even when they had lived peacefully in their communities for years. Sommer scrutinizes the ways authorities and literati understood gender-nonconforming people\, contrasting official ideology with popular mentalities. An unprecedented account of China’s transgender histories\, this book sheds new light on law\, religion\, medicine\, literature\, and culture.\n   \n   Matthew H. Sommer (BA Swarthmore\, MA U. of Washington\, PHD UCLA) is the Bowman Family Professor of History at Stanford University. A social and legal historian of Qing dynasty China (1644-1912)\, his research uses original legal case records from local and central archives to explore gender\, sexuality\, and family. He is the author of Sex\, Law\, And Society in Late Imperial China (Stanford 2000) and Polyandry and Wife-Selling in Qing Dynasty China (California 2015)\, which was the inaugural winner of the American Society for Legal History’s Peter Gonville Stein Book Award. His latest book\, The Fox Spirit\, the Stone Maiden\, and Other Transgender Histories from Late Imperial China (Columbia 2024) won the Boswell Prize from the LGBTQ+ History Association. Future plans include a fourth book\, “Male Same-Sex Relations and Masculinity in Qing China\,” and a fifth\, “Criminal Procedure in Eighteenth-Century China.”
UID:140455-21887171@events.umich.edu
URL:https://events.umich.edu/event/140455
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Asian Languages And Cultures,China,Chinese Studies,Gender,gender studies
LOCATION:Weiser Hall - 10th Floor
CONTACT:
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DTSTAMP:20251112T094900
DTSTART;TZID=America/Detroit:20251112T120000
DTEND;TZID=America/Detroit:20251112T130000
SUMMARY:Workshop / Seminar:Mathematics Undergraduate Seminar
DESCRIPTION:Typically\, Brownian Motion is constructed from the set of continuous functions from [0\, \infty) into \mathbb{R}. However\, can we modify Brownian Motion such that we can construct it from the set of all paths in \mathbb{R} rather than the continuous ones? In this talk\, we will explore this notion\, along with other concepts in stochastic analysis.
UID:141800-21889376@events.umich.edu
URL:https://events.umich.edu/event/141800
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Mathematics,Seminar,Talk,Undergraduate,Undergraduate Students
LOCATION:East Hall - EH 2851, Nesbitt Room
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250911T132206
DTSTART;TZID=America/Detroit:20251112T120000
DTEND;TZID=America/Detroit:20251112T133000
SUMMARY:Workshop / Seminar:Medicine\, Aging\, Science & Health (MASH) Workshop
DESCRIPTION:- September 10: Abby-Lynn Smith\n- October 8: Liz Harris\n- October 15: Analidis Ochoa\n- October 22: Hsin-Keng Ling\n- October 29: Megan Kelly\n- November 6: Special Event - Society of Fellows lunch with Neil Gong (co-sponsored with ISD)\n- November 12: Sofia Hiltner\n- November 19: Renee Anspach
UID:139226-21885139@events.umich.edu
URL:https://events.umich.edu/event/139226
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Graduate Students
LOCATION:LSA Building - 4147
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260107T161837
DTSTART;TZID=America/Detroit:20251112T120000
DTEND;TZID=America/Detroit:20251112T130000
SUMMARY:Lecture / Discussion:MPSDS / JPSM Seminar Series: Achieving Fairness in AI with Synthetic Data
DESCRIPTION:MPSDS / JPSM Seminar Series\nMPSDS M3 Series: Mastery\, Methodology\, Meetups\n\nIn person\, room 1070\, Institute for Social Research and via Zoom. \nThe Zoom call be be locked 10 minutes after the start of the presentation. \nPlease note that many of the links have changed.\n\nAchieving Fairness in AI with Synthetic Data\nArtificial intelligence and machine learning increasingly inform decisions in hiring\, lending\, healthcare\, and justice. Yet real-world datasets often encode historical bias\, and models trained on them can reproduce or amplify inequities. Pre-processing via fair synthetic data is a promising: if we can generate data that mitigates bias at the source while preserving signal\, downstream models can be both fair and useful. This talk introduces FDA (Fair synthetic data via Data Augmentation)\, a statistically principled framework that makes the fairness–faithfulness trade-off explicit and controllable. FDA jointly models a fair submodel and a faithful submodel\, coupled by a single parameter $\alpha \in [0\,1]$ that quantifies the fraction of bias removed. We prove clear operating points: $\alpha=0$ yields maximal fairness (with larger deviation from the original distribution)\, $\alpha=1$ recovers the original data in probability (hence in distribution)\, and intermediate $\alpha$ values guarantee calibrated compromises with interpretable bounds. Practically\, FDA samples directly from simple predictive distributions\, avoiding heavy black-box training. We further provide theory connecting FDA’s $\alpha$ to fairness of downstream models. Together\, these results deliver a transparent\, efficient\, and deployable path to generating fair synthetic data without sacrificing essential statistical structure.\n\nDr. Bei Jiang is an Associate Professor in the Department of Mathematical and Statistical Sciences at the University of Alberta\, a Fellow of the Alberta Machine Intelligence Institute (Amii)\, and a Canada CIFAR AI Chair. She received her PhD in Biostatistics from the University of Michigan in 2014\, followed by a postdoctoral appointment in the Department of Biostatistics at Columbia University (2014–2015)\, before joining the University of Alberta as an Assistant Professor in 2015. Dr. Jiang has authored more than 50 journal articles—including in the Annals of Statistics\, Journal of the American Statistical Association and the Journal of Machine Learning Research and over 20 peer-reviewed conference papers at venues such as NeurIPS\, ICML\, ICLR\, and AAAI. Her research focuses on Bayesian hierarchical modeling\, statistical learning methods that advance privacy and fairness\, and federated statistical inference. Dr. Jiang has an extensive record of service to the statistical community. She is currently serving on the SSC Equity\, Diversity\, and Inclusion Committee\, the CANSSI Showcase Organizing Committee\, the Committee of the COPSS Presidents’ Award\, and the JSM 2026 Program Committee. She is an Associate Editor for the Journal of the American Statistical Association. Dr. Jiang is the 2025 recipient of the COPSS Emerging Leaders Award\, recognizing early-career statistical scientists whose leadership and scholarship are shaping the field.
UID:141461-21888827@events.umich.edu
URL:https://events.umich.edu/event/141461
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Ai,Artificial Intelligence,Basic Science,Bias,Biomedical,biomedical research,brown bag,Data,Data Analysis,Data Collection,Data Curation,Data Linkage,Data Management,Data Science,In Person,Information and Technology,Lecture,Livestream,Mathematics,Medical,Online,Public Health,Research,Science,seminar,Statistics,Survey Methodology,Survey Methods,Survey Research,Virtual
LOCATION:Off Campus Location - Room 1070, Institute for Social Research
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20251127T123059
DTSTART;TZID=America/Detroit:20251112T120000
DTEND;TZID=America/Detroit:20251112T131500
SUMMARY:Careers / Jobs:ServiceNow Early in Career Recruiting Kick-Off #3
DESCRIPTION:Join us for our Early in Career Recruiting Kick-Off on Wednesday\, November 12\, 2025\, starting at 12:00 PM PST! During this session\, you will learn all about ServiceNow’s company culture\, platform\, and career opportunities. This event will also feature a panel of previous interns – hear directly from them how the world works with ServiceNow. RSVP now and save your spot - we can’t wait to connect with you! 
UID:137666-21882276@events.umich.edu
URL:https://events.umich.edu/event/137666
CLASS:PUBLIC
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DTSTAMP:20251127T123121
DTSTART;TZID=America/Detroit:20251112T130000
DTEND;TZID=America/Detroit:20251112T150000
SUMMARY:Careers / Jobs:Bank of America | AmplifyME! Markets Technical Workshop
DESCRIPTION:This introductory workshop gives students theirfirst real insight into the organisations\, roles\,and objectives within the financial industry.Led by an expert trainer\, the session exploresthe difference between the buy-side andsell-side\, and then takes a closer look at thestructure and career paths within an investmentbank’s markets division.What to expect: Industry Overview: Understand the corefunctions of global financial institutions.• Buy-Side vs. Sell-Side: Learn the keydifferences and how each operates inthe markets.• Role Exploration: Discover the structure\,teams\, and opportunities within marketsdivisions.• Pre-Learning Experience: Build a solidfoundation ahead of participating in moreadvanced AmplifyME simulations.
UID:141332-21888646@events.umich.edu
URL:https://events.umich.edu/event/141332
CLASS:PUBLIC
STATUS:CONFIRMED
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