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

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

Statistical methods for real-time forecasts of infectious disease

Nicholas Reich, Daniel Sheldon

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.

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

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

Statistical methods for real-time forecasts of infectious disease

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

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

Statistical methods for real-time forecasts of infectious disease

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