Stevens University Professor
Duncan Watts is the founder and director of the CSSLab, as well as the inaugural President of the International Society for Computational Social Science (ISCSS).
Watts researches social and organizational networks, collective dynamics of human systems, web-based experiments, and analysis of large-scale digital data, including production, consumption, and absorption of news. His work on social networks and collective dynamics has appeared in a wide range of journals, from Nature, Science, and Physical Review Letters to the American Journal of Sociology and Harvard Business Review, and has been recognized by the 2009 German Physical Society Young Scientist Award for Socio and Econophysics, the 2013 Lagrange-CRT Foundation Prize for Complexity Science, and the 2014 Everett M. Rogers Award. He was named an inaugural fellow of the Network Science Society in 2018, a Carnegie Fellow in 2020, and a fellow of the American Association for the Advancement of Science (AAAS) in 2021.
Watts is the Stevens University Professor and twenty-third Penn Integrates Knowledge University Professor at the University of Pennsylvania, where he holds primary faculty appointments in the Annenberg School of Communication, the Department of Computer and Information Science in the School of Engineering and Applied Science, and the Department of Operations, Information and Decisions in the Wharton School. He also holds a secondary appointment in the Sociology Department in the School of Arts and Sciences.
Deplatforming did not decrease Parler users’ activity on fringe social media Journal Article
In: PNAS Nexus, vol. 2, iss. 3, 2023.
Quantifying partisan news diets in Web and TV audiences Journal Article
In: Science Advances, vol. 8, iss. 28, 2022.
Reducing opinion polarization: Effects of exposure to similar people with differing political views Journal Article
In: Proceedings of the National Academy of Sciences, vol. 118, no. 52, 2021.
Success stories cause false beliefs about success Journal Article
In: Judgment and Decision Making, vol. 16, no. 6, pp. 1439-1463, 2021, ISSN: 1930-2975.