Computational Social Science for Business
Uniting computer science, statistics, and social science to solve real-life problems through mass collaboration on path-breaking transparent research in partnership with industry, government, and civil society.
Designing and running innovative, large-scale experiments to pursue replicable, generalizable, scalable, and ultimately useful social science.
Building technology to detect patterns of bias and misinformation in media from across the political spectrum and spanning television, radio, social media, and the broader web.
Using cutting-edge statistical techniques to analyze police-civilian interactions, measure racial bias in policing, evaluate policing policy reforms, and improve the performance of policing agencies.
The Computational Social Science Lab was created in March 2021 as a joint venture of the School of Engineering and Applied Science, the Annenberg School for Communication, and the Wharton School. We seek novel, replicable insights into societally relevant problems by applying computational methods to large-scale data. Through our research infrastructure, industry partnerships, and network of collaborators, we also aim to facilitate progress in computational social science more generally.
In the News
Computational Social Science for Business encompasses two collaborative research teams with shared interests and interrelated research agendas, lead by Professors Duncan Watts and Dean Knox.
Assistant Professor, Information Technology
Massachusetts Institute of Technology
Assistant Professor, Politics and Public Affairs
David M. Rothschild
Research Project Manager