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

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Featured Research

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.

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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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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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Events

Join us at the CSSI-DACSS Student Poster Session!
May 9, 2025

The Computational Social Science…

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News

Video for "ChatGPT and Education: Hype versus Reality" panel is available
Mar 25, 2023

Thank you to the more than 120 people who attended our…

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CSSI YouTube Channel with Recordings of Past Events
Nov 9, 2022

CSSI has a new YouTube Channel with recordings of several…

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CSSI Debuts New Website
Mar 31, 2021

After several months of development, the UMass…

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Computer Science Meets Behavioral Sciences: Interdisciplinary Research Focuses on Heat Resilience in the Age of Climate Change
Jul 22, 2020 As high temperatures become more frequent and intense due to…
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Federal Grants Support Research to Improve Pandemic Forecasting
Jun 30, 2020 University of Massachusetts Amherst biostatistician Nicholas…
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