CSS unites computer science, statistics, and social science to solve challenging real-world problems using digital data and platforms. Through mass collaboration with industry, government, and civil society, our research generates insights that advance basic science in the service of practical applications.
Introduction to CSS Lab
Computational Social Science Lab at Penn
CSS unites computer science, statistics, and social science to solve challenging real-world problems using novel theories. Through our mass collaboration with industry, government, and civil society, our path-breaking research generates solutions which are both innovative and practical.
News
When Do Teams Outperform Individuals?
New Wharton research suggests decades of conflicting evidence can be explained by one overlooked factor: the task itself.
How cable news has diverged from broadcast news
Walter Cronkite was often cited as “the most trusted man in America” as he delivered the news on CBS in the 1960s and ’70s—a time when fewer news options created a “shared reality” that scholars argue fostered civic engagement, empathy, and shared national identity. The situation looks quite different in today’s disparate media landscape.
Duncan Watts Presents Fake News, Echo Chambers, and Algorithms at Penn Engineering ASSET Seminar
Computational Social Science Lab (CSSLab) Director Duncan Watts presented: “Fake News, Echo Chambers, and Algorithms: A Data Science Perspective” at an ASSET(AI-enabled Systems: Safety, Explainability and Trustworthiness) Weekly Seminar on April 23, 2025.
Over the past 100 years, social science has generated a tremendous number of theories on the topics of individual and collective human behaviour. However, it has been much less successful at reconciling the innumerable inconsistencies and contradictions among these competing explanations.
—
Duncan Watts
CSSLab Founder
Over the past 100 years, social science has generated a tremendous number of theories on the topics of individual and collective human behaviour. However, it has been much less successful at reconciling the innumerable inconsistencies and contradictions among these competing explanations.
—
Duncan Watts
CSS Lab Founder


