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.
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
PennMAP research featured on Australian radio
New PennMAP research on TV echo chambers was discussed by Australian media experts on Fourth Estate, broadcast live on Sydney radio.
Demystifying deliberation, while reinventing social science research on the side
Depending on the group, the discussion topic, or the context of a negotiation, interventions meant to streamline a deliberation process can have varying degrees of success. This summer, student researchers at Penn’s Computational Social Science Lab set out to demystify the intervention process.
Behind the Scenes: The team driving Nudge Cartography
The Nudge Cartography project is building a tool to help policymakers, marketers, managers, and academics intelligently motivate behavior change. Meet some of the project leads and volunteers putting it all together.
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