Computational Social Science

We are interested in applying descriptive, predictive, and prescriptive analytics to a variety of problems in social science, marketing, recommendation systems, and social networks.  We are studying the impact of social influence on online markets and have shown some surprising results on the efficiency and predictability of these markets, both from a theoretical and simulation standpoint. We are also studying the benefits of social media in various activities, including in disaster management and recommendation systems.

Some of the press coverage of our 2016 Science Advances paper: Wall Street JournalScience MagazineSmithsonianWashington PostPhys.orgPhillyVoice.

Recent Publications





  • Crowdsourcing contest dilemma Victor Naroditskiy, Nicholas Jennings, Pascal Van Hentenryck, Manuel Cebrian
    Journal of the Royal Society Interface, October, 2014.