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Statistical methods for real-time forecasts of infectious disease

Developing methods to model and forecast the transmission of COVID-19 using tools from epidemiology, statistics, and machine learning.

Identifying Mechanisms of Peer Influence on Youth Weight-Related Behaviors

James Kitts, John R. Sirard, Krista Gile, Mark C. Pachucki

Understanding the social clustering of health outcomes among adolescents, aiming to identify peer influence on health behaviors such as physical activity, screen time, and dietary patterns.

Fact-checker, Academic, and Community Collaboration Tools: Combating Hate, Abuse, and Misinformation with Minority-led Partnerships (FACT CHAMP)

Brendan O'Connor, Weiai Wayne Xu, Ethan Zuckerman

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Statistical methods for real-time forecasts of infectious disease

Identifying Mechanisms of Peer Influence on Youth Weight-Related Behaviors

Fact-checker, Academic, and Community Collaboration Tools: Combating Hate, Abuse, and Misinformation with Minority-led Partnerships (FACT CHAMP)

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We are a diverse interdisciplinary community using computational models and methods to help us understand the social world.

Learn More | Watch Our Videos

Featured Research

Statistical methods for real-time forecasts of infectious disease

Identifying Mechanisms of Peer Influence on Youth Weight-Related Behaviors

Fact-checker, Academic, and Community Collaboration Tools: Combating Hate, Abuse, and Misinformation with Minority-led Partnerships (FACT CHAMP)

Events

News

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Identifying Mechanisms of Peer Influence on Youth Weight-Related Behaviors