Jason J. Jones
Areas of Interest
Computational Social Science, Social Contagion and Social Networks
As a member of a Sociology department with a doctorate in Psychology, post-doctorate work in Political Science and a Bachelor's degree in Computer Science, I try to embody the best of what it means to be interdisciplinary in academia. In my work, I take advantage of massive datasets to re-examine what we think we know about human behavior. For example, I have collaborated with Facebook to conduct experiments regarding social norms around voting - each experiment generating data from millions of participants. In another collaboration, my colleagues and I re-imagine and redefine Granovetter's "strength of weak ties" hypothesis by taking into account the work histories and social networks of millions of people around the world. Broadly, my research interests involve the application of computational social science to predict political, health and other social behaviors.
Jones, J. J., Bond, R. M., Bakshy, E., Eckles, D., & Fowler, J. H. (2017). Social influence and political mobilization: Further evidence from a randomized experiment in the 2012 US presidential election. PloS one, 12(4), e0173851.
Robert M. Bond, Christopher J. Fariss, Jason J. Jones, Adam D. I. Kramer, Cameron Marlow, Jaime E. Settle, James H. Fowler. "A 61-Million-Person Experiment in Social Influence and Political Mobilization." Nature.
Jason J. Jones, Jaime E. Settle, Robert M. Bond, Christopher J. Fariss, Cameron Marlow, James H. Fowler. "Inferring Tie Strength from Online Directed Behavior." PLoS ONE 8(1): e52168.
Jason J. Jones, Robert M. Bond, Christopher J. Fariss, Jaime E. Settle, Adam D. I. Kramer, Cameron Marlow, James H. Fowler. "Yahtzee: An Anonymized Group Level Matching Procedure." PLoS ONE 8(2): e55760.