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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.

DIRECT: A Framework for Diagnosis, Recommendation, and Training in Continuous Workforce Development

Ina Ganguli, Andrew Lan, Andrew Cohen

Developing a vertically complete upskilling and reskilling pipeline in manufacturing-related industries using artificial intelligence-enabled components.

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.

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Statistical methods for real-time forecasts of infectious disease

DIRECT: A Framework for Diagnosis, Recommendation, and Training in Continuous Workforce Development

Identifying Mechanisms of Peer Influence on Youth Weight-Related Behaviors

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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

DIRECT: A Framework for Diagnosis, Recommendation, and Training in Continuous Workforce Development

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

Events

News

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Identifying Mechanisms of Peer Influence on Youth Weight-Related Behaviors