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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
STATUS:CONFIRMED
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BEGIN:VEVENT
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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BEGIN:VEVENT
DTSTAMP:20251127T123112
DTSTART;TZID=America/Detroit:20251112T130000
DTEND;TZID=America/Detroit:20251112T143000
SUMMARY:Careers / Jobs:Careers at Caltrans PMP: How to get a State Job Virtual Workshop
DESCRIPTION:Join Caltrans in Shaping the Future of California’s Transportation Network!The California Department of Transportation (Caltrans) is hiring talented individuals from many backgrounds who are dedicated to innovating and maintaining California’s multimodal transportation systems. Whether you’re an innovator\, problem-solver\,or creative thinker\, we want you on our team to help transform a sustainable and connected California.Within Caltrans\, the Planning and Modal Program (PMP) shapes the future of multimodal transportation across California by envisioning\, articulating\, and implementing desired outcomes. PMP is looking for driven individuals to join our team to fulfill our mission to create a safe\, reliable transportation network that serves all people and respects the environment. By registering you will gain the knowledge to:\nNavigate CalCareers job postings\nUnderstand the Statement of Qualifications (SOQ)\nLearn about state exams and when to start applying\n Don’t miss your chance to get started! Join our upcoming workshop to learn how to apply and take thefirst step toward a rewarding career!
UID:140664-21887470@events.umich.edu
URL:https://events.umich.edu/event/140664
CLASS:PUBLIC
STATUS:CONFIRMED
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BEGIN:VEVENT
DTSTAMP:20251023T135337
DTSTART;TZID=America/Detroit:20251112T130000
DTEND;TZID=America/Detroit:20251112T170000
SUMMARY:Recreational / Games:CVGA Video Game Challenge
DESCRIPTION:Join the Video Game Challenge in the CVGA (Computer & Video Game Archive) Room 4041\, Shapiro Library—featuring classic favorites Katamari Damacy and Bubble Bobble!  Test your skills\, compete for the highest score\, and see your name rise on the CVGA scoreboard.\n\nTop scorers for each game will win a prize! 🏆\n\nThe challenge runs through Friday\, November 14th.  Stop by the CVGA front desk for details and to join the fun!
UID:141063-21888069@events.umich.edu
URL:https://events.umich.edu/event/141063
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Arts For All,Free,Games,Video Games
LOCATION:Shapiro Library - Room 4041
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260219T093421
DTSTART;TZID=America/Detroit:20251112T130000
DTEND;TZID=America/Detroit:20251112T134500
SUMMARY:Other:Spring and Summer Study Abroad Information Session (Virtual)
DESCRIPTION:This session will provide BSI students with general information regarding UMSI's undergraduate-level May study abroad programs. Information on program options\, the application process\, and more will be covered. Time will be allotted for Q&A.
UID:145724-21897736@events.umich.edu
URL:https://events.umich.edu/event/145724
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Virtual
LOCATION:Off Campus Location
CONTACT:
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