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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.

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

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

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

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

Statistical methods for real-time forecasts of infectious disease

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

Events

News

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