The Mobility and Migration Modeling Intercomparison Project (3MIP) invites you to join a new initiative to advance the modeling of migration and mobility in the context of climate change.

Over the past decades, migration modeling capacity has expanded considerably, with diverse approaches including ABM, IAM, Gravity, Radiation, and others. Similar to how model intercomparison projects (MIPs) such as AgMIP and ISIMIP have strengthened agricultural and climate modeling, 3MIP aims to improve the robustness, comparability, and usability of migration models. By standardizing methods, characterizing uncertainties, and setting shared benchmarks, we hope to build a foundation for stronger science and policy applications.

This initiative is jointly supported by Princeton’s CPREE, Cornell University’s Department of Global Development, and the Columbia Climate School. Our long-term goal is to develop a suite of cases and benchmarks for comparison. We begin with a first case study on coastal flooding and mobility in Bangladesh.

3MIP warmly invites:

• Modelers, model users, and users of model outputs
• Experts in migration, mobility, and coastal flooding
• Especially, scholars and practitioners from Bangladesh

Opportunities for participation include:

• Regular online engagements with the 3MIP community
• Contributions to comparative case studies
• Participation in a planned conference session at the 2026 iEMS meeting (Dublin)
• Contributions to a forthcoming Topical Collection in Climatic Chang

Please visit 3mip.weebly.com to learn more and register your interest, or contact ik356@cornell.edu with any questions.

CSDE Affiliate Mia M. Bennett (Geography) has released a new book, Unfrozen: The Fight for the Future of the Arctic, published by Yale University Press. Together with co-author Klaus Dodds, Bennett examines the state of the Arctic today–emphasizing the twin dangers of climate change and geopolitical competition.  Unfrozen reveals how the region is becoming a space of experimentation for everything from Indigenous governance to subsea technologies. Growing geopolitical competition is accompanying environmental disruption. Countries including Russia, China, and the United States are investing in the Arctic and consolidating their interests in strategic access, resource exploitation, and alliance-building.

When: Friday, November 21 at 12:30 pm

Where: Parrington Hall 360 and on Zoom

We are looking forward to hosting CSDE Affiliate Hyungmin Cha from the University of Washington on Friday, November 21 in Parrington Hall 360 and on Zoom. This seminar is co-sponsored by the Population Health Initiative.

Education is one of the strongest predictors of dementia, but its influence extends well beyond whether individuals develop the condition. In this talk, I synthesize three projects that examine how education shapes the functional form, timing, and cumulative duration of dementia experiences. Using nationally representative longitudinal data from the U.S. Health and Retirement Study, I show that (1) dementia risk declines linearly with additional years of schooling, with a notable threshold reduction at high school completion; (2) education postpones dementia onset and reduces variability in its timing, such that college-educated adults experience both later and more predictable onset; and (3) higher life-course socioeconomic status extends dementia-free life expectancy and compresses the years lived with dementia. Together, these studies position education as a fundamental cause of dementia disparities, shaping not only incidence but also the lived experience of cognitive aging. This work advances a sociological and demographic life-course framework for understanding how education structures cognitive health inequalities.

Hyungmin (“Min”) Cha is an Assistant Professor of Sociology and an affiliate of the Center for Studies in Demography and Ecology at the University of Washington. He is a demographer and population health researcher whose work examines how socioeconomic resources shape health inequalities across the life course and across generations. His current projects focus on education and dementia, highlighting how schooling influences the patterns, timing, and duration of cognitive aging. His research has appeared in leading journals including Demography, Social Forces, Journal of Health and Social Behavior, Social Science & Medicine, and Journals of Gerontology: Social Sciences, among others. He received his PhD in Sociology and Demography from the University of Texas at Austin, completed a postdoctoral fellowship in Gerontology at the University of Southern California, and is a recipient of the Gerontological Society of America’s 2023 Richard Kalish Innovative Publication Award.

When: November 19, 2025 from 10 – 11 am

Where: Raitt 223 and on Zoom

On November 19, CSDE’s Computational Demography Working Group will host Dr. Ilan Strauss and Sruly Rosenblat from the AI Disclosures Project housed at the Social Science Research Council. Strauss and Rosenblat will present on, “Can Membership Inference Attacks Detect Paywalled Content in LLM Training Data? Lessons and limitations.” Using a legally obtained dataset of 34 copyrighted O’Reilly Media books, Strauss and Rosenblat apply the DE-COP membership inference attack method to investigate whether OpenAI’s large language models were trained on copyrighted content without consent. Results show that GPT-4o, OpenAI’s more recent and capable model, demonstrates strong recognition of paywalled O’Reilly book content (AUROC = 0.82, 95% bootstrapped CI: 0.60–0.96). GPT-4o Mini, as a much smaller model, shows no knowledge of public or non-public O’Reilly Media content (AUROC ≈ 0.50). Testing multiple models, with the same cutoff date, helps account for potential language shifts over time that might bias our findings. These results highlight the urgent need for increased corporate transparency regarding pre-training data sources as a means to develop formal licensing frameworks for AI content training.

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Sruly Rosenblat is an LLM researcher for the AI Disclosures Project housed at the Social Science Research Council. He graduated with a degree in computer science from Hunter College.

Dr. Ilan Strauss is co-director of the AI Disclosures Project in New York City. He is an Honorary Senior Fellow at the UCL Institute for Innovation and Public Purpose (London) and a Visiting Associate Professor at the University of Johannesburg. He holds a Ph.D in economics from the New School for Social Research.