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        "datetime_start":"20250910T120000",
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        "event_title":"MPSDS JPSM Seminar Series - Where Granularity Matters: Calibrating Subdomain Inference for Binary Outcomes",
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        "combined_title":"MPSDS JPSM Seminar Series - Where Granularity Matters: Calibrating Subdomain Inference for Binary Outcomes: Yajuan Si - Research Associate Professor in the Institute for Social Research at the University of Michigan",
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        "combined_title":"Seminar Series in Human Genetics - Monday, September 22, 11:00 am: Sohini Ramachandran, PhD, presents \u201cVariations on a theme of structure: leveraging recent relatedness and mixed-membership clustering to gain insights from high-dimensional genomics datasets\u201d",
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        "event_title":"Lunch & Learn: Evaluating Educational Apps",
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        "combined_title":"Lunch & Learn: Evaluating Educational Apps: A Works-in-Progress Event with the Center for the Learning Sciences",
        "event_subtitle":"A Works-in-Progress Event with the Center for the Learning Sciences",
        "event_type":"Lecture \/ Discussion",
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        "description":"There are nearly 400,000 educational apps available on Google and Apple's app stores, but their effectiveness in supporting learning is often unverified. Join Prof. Liz Kolb and team to learn about our project to develop a robust evaluation tool to help caregivers and educators to make informed choices. This will be an informal conversation about what the project team has done so far and an opportunity to imagine what comes next.\u00a0\r\n\r\nBring your lunch, your curiosity, and your questions!\u00a0Light snacks will be provided.\r\n\r\nRegister to help with planning: https:\/\/myumi.ch\/15pmy",
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        "event_title":"Tools and Technology Seminar by Michelle Kim",
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        "combined_title":"Tools and Technology Seminar by Michelle Kim: \u201cDetermining the driving factors shaping genetic architecture of complex traits in recently admixed populations\u201d",
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        "description":"Abstract\r\n\r\nUnderstanding the genetic basis of complex traits in admixed populations is challenging due to diverse genetic backgrounds, particularly for highly prevalent diseases. Misinterpreting admixture\u2019s impact can have significant consequences for biomedical research. This study employs advanced computational biology to investigate how admixture shapes the genetic architecture of complex traits and influences GWAS outcomes. Using the forward-in-time population genetic simulator SLiM, we model trait evolution under admixture by varying the relationship between causal variant effect sizes and selection coefficients while accounting for population size changes and migration across five admixture scenarios. \r\n\r\nOur findings reveal that GWAS power is influenced by genetic architecture and population demographic history. Traits with weak correlations between effect size and fitness (e.g., anthropometric traits) show higher GWAS power compared to traits with stronger correlations (e.g., genetic diseases). Populations with recent bottlenecks exhibit higher GWAS power, highlighting the role of rare variants. Surprisingly, fine- mapping ability remains consistent across traits. Empirical validation using data from diverse populations, including the All of Us database, supports our simulation predictions. For anthropometric traits like height, common variants exhibit moderate effects, while for traits like malignant neoplasms, rare variants show larger effects and common variants minimal effects. \r\n\r\nBy integrating population and complex trait genetics, this study provides insights into how population history shapes genetic architecture and heritability. Our findings improve understanding of genetic studies in diverse populations, enabling more accurate biomedical applications and personalized medicine strategies. \r\n\r\nAbout The Tools & Technology Seminar Series\r\n\r\nThe DCMB Tools and Technology Seminar Series is held in Palmer Commons, Room 2036, each Thursday at 12pm EST. Each seminar highlights a computational tool, technology, or methodology that is under development or in current use and is of special interest to DCMB and University researchers. Presenters are U-M researchers and students.\r\n\r\nThese seminars are live-streamed and recorded and made available for future viewing via the DCMB YouTube Channel.",
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        "event_title":"Big Ten CISO Panel: Securing the Mission: Building Awareness and Resilience in Higher Ed",
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        "description":"Higher education institutions face security challenges that demand thoughtful, coordinated responses across many of our distributed environments. Addressing these challenges effectively requires not only structure and leadership but also a shared understanding of the complexity that underpins our work, all the while meeting the mission of teaching, learning, and research. Our panelists will cover topics related to risk within our organizations, how to build and deliver a strong security awareness program and culture, and where they see the security space evolving to further educate and promote security in the higher education space. \r\n\r\nThis webinar event is open to anyone affiliated with Big Ten Academic Alliance (BTAA) member institutions.\r\n\r\nRegister Here: https:\/\/btaa.org\/technology\/cybersecurity\/big-ten-cybersecurity-month\r\n\r\nSPEAKERS\r\n - Guy Albertini, Chief Information Security Officer, Rutgers University\r\n - Jos\u00e9 Dom\u00ednguez, Chief Information Security Officer, University of Oregon\r\n - Asmat Noori, Interim Chief Information Security Officer, University of Michigan\r\n - Andrew Weisskopf, Chief Information Security Officer, Michigan State University",
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        "event_title":"Museums at Two presentation",
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        "combined_title":"Museums at Two presentation: Women in museum computing: A brief history of data entry & skilled labor",
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        "description":"Presentation by Alexandria Rayburn (Museum Studies Program alumni; PhD, Information)\r\n\r\nMuseum collections are many things, but primarily they function as repositories of information, where data-intensive work has been conducted for decades. Like other knowledge infrastructures, the information in museum collections is built on installed bases and require highly skilled technicians to maintain these long-lasting digital systems. However, in representations of this computing work, women's voices and perspectives are under-appreciated, even though they have significant labor contributions in this area. \r\n\r\nMy dissertation examines the experiences of women working in computing roles within museum collections and seeks to understand their unique approaches to data management. Drawing from this research, this talk will explore some of the early gendered data practices at both the Smithsonian Institution and the Metropolitan Museum of Art\u2014 two highly regarded institutions whose leadership in early museum computing has had lasting implications on museum best practices, and the value given to computing tasks like data entry.",
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        "datetime_modified":"20250919T142343",
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        "event_title":"Michigan AI Symposium",
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        "description":"Join us for a day of AI: Research Talks, Demos, Posters, & Panel!\r\n\r\nAs Artificial intelligence advances rapidly in areas such as data modeling and pattern recognition, researchers are increasingly applying these tools to accelerate scientific discovery.  The 8th annual Michigan AI Symposium will be dedicated to exploring AI for Science.  Speakers and panelists from both academia and industry will present the latest AI research on how AI is transforming fields such as biology, physics, chemistry, and climate science.  This event is hosted by the Michigan Artificial Intelligence Laboratory.\r\n\r\nOur symposium aims to bring together participants from both academia and industry who are interested in the foundations or real-life applications of artificial intelligence.\r\n\r\nThe symposium will take place on North Campus, in Stamps Auditorium in the Walgreen Drama Center with a poster session in Tishman Hall of the Bob & Betty Beyster Building\r\n\r\nRegistration\r\n8:00 AM Registration opens (T-shirts giveaway!) Lobby \u2013 Stamps Auditorium\r\n\r\nWelcome & Introduction to the Michigan AI Lab\r\n8:55 AM Rada Mihalcea, Director, Michigan AI Lab\r\n9:00 AM Arthur Lupia, Vice President for Research & Innovation\r\n9:07 AM Danai Koutra & JJ Park, Co-Chairs, AI Symposium\r\n\r\nSession One | Chair: Danai Koutra\r\n9:15 AM  Carla Gomes, Computing and Information Science, Cornell University\r\n\u2013TBD\r\n\r\n10:15 AM  Joy Hsu, Stanford University\r\n\u2013Building Neuro-Symbolic Multimodal Systems for Science\r\n\r\n10:25 AM Simran Khanuja, Carnegie Mellon University\r\n\u2013Towards Culturally Inclusive Multimodal Systems\r\n\r\n10:35 AM Giannas Daras, MIT\r\n\u2013Generative Models Wear Glasses: Learning from Imperfect Data with Ambient Diffusion\r\n\r\nCoffee Break\r\n10:45 AM Lobby \u2013 Stamps Auditorium\r\n\r\nSession Two | Chair: David Jurgens\r\n11:05 AM  Alexander Rodriguez, Computer Science & Engineering, University of Michigan\r\n\u2013Where Equations Meet Data: Bridging AI and Scientific Models in Health\r\n\r\n11:30 AM Vivek Gopalakrishnan, Harvard, MIT\r\n\u2013Augmented Vision for Surgeons (and Robots) via Patient-Specific Machine Learning Models\r\n\r\n11:40 AM Shirley Wu, Stanford University\r\n\u2013Towards Collaborative and Human-centric AI Agents\r\n\r\n11:50 AM  Rebecca Lindsey, Chemical Engineering, University of Michigan\r\n\u2013Efficient Machine Learning and AI for Materials Research: Scalable Models for Anyone, Anywhere\r\n\r\n12:15 PM Posters & Demos Pitch\r\n\r\nResearch Poster & Demo Session | Chairs: Serafina Kamp & Run Peng\r\n12:30 PM Lunch in Tishman Hall. Research Posters & Demos Session in both Tishman Hall & Stamps Lobby\r\n\r\nSession Three | Chair: JJ Park\r\n2:00 PM  Ricardo Vinuesa, Aerospace Engineering, University of Michigan\r\n\u2013Improving turbulence control through explainable deep learning\r\n\r\n3:00 PM Congyue Deng,  MIT\r\n\u2013Denoising Hamiltonian Network for Physical Reasoning\r\n\r\n3:10 PM  Mosharaf Chowdhury, University of Michigan\r\n\u2013Sustained Scientific Discovery Requires Energy-Optimal AI Agents\r\n\r\n\r\nCoffee Break\r\n3:35 PM Lobby \u2013 Stamps Auditorium\r\n\r\nSession Four | Chair: TBD\r\n3:55 PM Panel Discussion on AI & GenAI for Science\r\n\u2013Carla Gomes, Ricardo Vinuesa, JJ Park, Karthik Duraisamy\r\n\r\n4:55 PM Closing Remarks & Awards\r\n\r\nSponsored by:",
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        "event_title":"CoderSpaces - Wednesday",
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        "combined_title":"CoderSpaces - Wednesday: weekly data science hubs",
        "event_subtitle":"weekly data science hubs",
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        "description":"Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\r\n\r\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\r\n\r\nTuesdays, 9:30-11 a.m. ET, via Zoom (Meeting ID:94181215786)\r\nWednesdays, 1:30-3 p.m. ET, via Zoom (Meeting ID: 98659357324)",
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        "description":"Being unprepared for a disastrous event means delayed recovery and a prolonged service disruption. Join the ITS Information Assurance Disaster Recovery (DR) Planning team for an inside look at how ITS develops IT DR plans. Learn how to identify mission critical systems, what information to include in a recovery plan, approaches for handling common challenges that arise, and how ITS conducts tabletop exercises and live testing. Help your team prepare for the unexpected using resources from this session.\r\n\r\nJoin us on Zoom for this event.\r\n\r\nSPEAKERS\r\n - Sasha Womble, Data Security Analyst, ITS Information Assurance\r\n - Stephanie Henyard, Data Security Analyst, ITS Information Assurance",
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        "event_title":"16th Annual Diane Baker Alumni Award & Lecture",
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        "combined_title":"16th Annual Diane Baker Alumni Award & Lecture: 2025 Diane Baker Alumni Awardee: Kate Emery (UMGCP Class of 2015)!!!!",
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        "description":"Kate Emery, MS, CGC, is a licensed and certified genetic counselor and the Senior Clinical Program Manager of Genomics at Providence Health, one of the largest community hospital networks in the US. Kate graduated from the UMGCP in 2015, having previously earned her B.A. in Biology from the University of San Diego in 2013. She began her genetic counseling career in pediatric genetics and newborn screening before transitioning to her longstanding interest in cancer genetics, where she provided genetic counseling and participated in multidisciplinary care for patients in Southern California. While in direct patient care, Kate had the opportunity to develop and oversee screening protocols to identify and refer patients eligible for germline genetic testing at multiple points of care, including during mammography encounters and from tumor molecular pathology. In 2021, she moved into a research role at Providence, coordinating the Genomic Medicine For Everyone (Geno4ME) study, a pilot project involving research-based whole genome sequencing with a clinical return of results panel. \r\n\r\nKate now manages a portfolio of population-scale genetics programs that serve the entire seven-state Providence health system. These programs include inherited cancer and cardiovascular disease screening, pharmacogenomics, population sequencing, and precision oncology initiatives. As part of Providence's Institute for Clinical Innovation, she and her colleagues are also actively engaged in outcomes and health services research to drive clinical program improvement and innovation.\r\n\r\nKate is passionate about community healthcare and utilizing novel service delivery methods to ensure that high-quality genetics services and research opportunities are accessible to all patients. She draws on her background as a genetic counselor and her patient care experiences to maintain a compassionate, patient-centered approach in her work within population health genetics.",
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        "datetime_modified":"20260107T161837",
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        "event_title":"MPSDS \/ JPSM Seminar Series: Achieving Fairness in AI with Synthetic Data",
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        "combined_title":"MPSDS \/ JPSM Seminar Series: Achieving Fairness in AI with Synthetic Data: Bei Jiang - University of Alberta",
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        "description":"MPSDS \/ JPSM Seminar Series\r\nMPSDS M3 Series: Mastery, Methodology, Meetups\r\n\r\nIn person, room 1070, Institute for Social Research and via Zoom. \r\nThe Zoom call be be locked 10 minutes after the start of the presentation. \r\nPlease note that many of the links have changed.\r\n\r\nAchieving Fairness in AI with Synthetic Data\r\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\u2013faithfulness 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\u2019s $\\alpha$ 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.\r\n\r\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\u20132015), before joining the University of Alberta as an Assistant Professor in 2015. Dr. Jiang has authored more than 50 journal articles\u2014including 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\u2019 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.",
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        "event_title":"Exploring Digital Privacy from a Child\u2019s Perspective",
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        "description":"Are you an LSA student interested in a career in business or technology? Join us for the LSA Opportunity Hub for the Business and Technology and Career Exploration Week! These events offer you the chance to explore career opportunities with leading organizations, form valuable connections with potential employers, and gain valuable industry insights to prepare you for the recruiting process.\n\nEvents include:\nRecruiting 101: A Deep Dive into Business and Technology Recruiting - Session 1\nHuntington Bank Information Session and Q&A Panel\nRock the Mock: First Round Interview Practice\nDecode Your Internship Search: Internship Search Strategies from Career Coaches, Alums, and Student Success Stories\nBNY Insights & Bites\nInsights from JPMorgan Chase Commercial & Specialized Industries\nRecruiting 101: A Deep Dive into Business and Technology Recruiting - Session 2\n\nPlease view each session on the calendar to the right to register.\n\nWhy you should attend:\nYou're an LSA student, regardless of your year, curious about careers in business and technology.\nYou want to meet recruiters and explore different career pathways.\nYou're interested in learning valuable skills to excel in business and tech recruiting.\n\nWhat you'll gain:\nDiscover multiple career paths in the business and tech space.\nLearn how your skills and interests align with available opportunities.\nUnderstand the next steps in the recruiting process.\nShare your r\u00e9sum\u00e9 with recruiters on the spot.\nBuild valuable connections with employers eager to hire LSA students.\n\nDon\u2019t miss this opportunity to kickstart your career and network with industry leaders!\n\nThe LSA Opportunity Hub aims to deliver inclusive and accessible experiences and welcomes all LSA students to participate. This event is on the first floor of a wheelchair accessible building which includes wheelchair-accessible restrooms on the first floor, a gender-inclusive and accessible restroom on the first floor, places to sit or stand during the event, and accessible parking options nearby on Maynard Street. Ramps are located at the East entrance (from State St.) and the Northwest entrance (from Maynard). Power doors are located at the Northwest entrance. To request other accommodations please contact LSA Hub Events at lsa.hubevents@umich.edu or 734-764-4674 so we can make arrangements",
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        "event_title":"From Scroll To Action: Crafting Environmental Communications with Content Creator Alex Haraus",
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