Other IDSS-related events, such as conferences and seminars hosted by other departments and organizations that feature IDSS students and faculty.

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SES & Stats Dissertation Defense

Marie-Laure Charpignon (IDSS)
E18-304

Evaluating the effects of pharmaceutical interventions, social policies, and exogeneous shocks on people's health and behavior ABSTRACT Aging individuals tend to suffer from chronic conditions, some of which manifest in midlife (e.g., type 2 diabetes and hypertension) and some in late life (e.g., neurodegenerative disorders). As the global population increases and as people live longer, finding strategies to prevent or delay these diseases has become a key priority. Concurrent advances in public health and biomedicine offer an array of pharmaceutical…

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Why We Accept Misinformation and How to Fight It

Adam Berinsky (Mitsui Professor of Political Science)
10-250

Mitsui Professor of Political Science Adam Berinsky will speak on Monday, October 21, from 4 to 5 p.m. in Huntington Hall (10-250) about his forthcoming book, Why We Accept Misinformation & How to Fight It, which delves into the spread of political rumors and their impact on public perception and division. Sponsored by the Provost, Chancellor, and ICEO, the event will be followed by optional small group discussions for those who preregister. https://www.eventbrite.com/e/why-we-accept-misinformation-and-how-to-fight-it-tickets-1028481906067

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Deep Learning Methods for Public Health Prediction

Alexander Rodríguez (University of Michigan)
E18-304

Abstract: Epidemic prediction is an essential tool for public health decision-making and strategic planning. Despite its importance, our ability to model the spread of epidemics remains limited, largely due to the complexity of social and pathogen dynamics. With the increasing availability of real-time multimodal data and advances in deep learning, a new opportunity has emerged to capture and exploit previously unobservable facets of the spatiotemporal dynamics of epidemics. Toward realizing the potential of AI in public health, my work addresses multiple challenges in this domain,…

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