DUNCAN J.

WATTS

I’m a computational social scientist at the University of Pennsylvania.

I’m interested in 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.

I’m the Stevens University Professor and twenty-third Penn Integrates Knowledge University Professor at the University of Pennsylvania, where I hold 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. I also hold a secondary appointment in the Sociology Department in the School of Arts and Sciences, and am the founder and director of the Computational Social Science Lab at Penn.

I am also the inaugural President of the International Society for Computational Social Science (ISCSS), an organization committed to advancing path-breaking research at the intersection of the computational, experimental, social, and behavioral sciences. Comprised of multidisciplinary researchers from around the globe, the Society’s main purpose is to organize and manage the annual International Conference on Computational Social Science (IC²S²), which has emerged as the dominant conference in the field.

Duncan J. Watts

I’m a computational social scientist at the University of Pennsylvania.

I’m interested in social and organizational networks, collective dynamics of human systems, web-based experiments, and analysis of large-scale digital data, including the production, consumption, and absorption of news.

I’m the Stevens University Professor and twenty-third Penn Integrates Knowledge University Professor at the University of Pennsylvania. In addition to my appointment at the Annenberg School, I hold faculty appointments in 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, where I am the inaugural Rowan Fellow.

Duncan J. Watts

RESEARCH

My research 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. I 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.

RESEARCH

My research 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. I was named an inaugural fellow of the Network Science Society in 2018 and a Carnegie Fellow in 2020.

Recent Work

Recent Work

Recent Work

Muise, D., Hosseinmardi, H., Howland, B., Mobius, M., Rothschild, D., & Watts, D. J. (2022). Quantifying partisan news diets in Web and TV audiences. Science Advances, 8(28), eabn0083. https://doi.org/10.1126/sciadv.abn0083 Cite Download
Salganik, M. J., Dodds, P. S., & Watts, D. J. (2022). Experimental study of inequality and unpredictability in an artificial cultural market. Edward Elgar Publishing. https://www.elgaronline.com/view/book/9781789909432/book-part-9781789909432-32.xml Cite
Stefano Balietti, Lise Getoor, Daniel G. Goldstein, Duncan J. Watts. (2021, December 22). Reducing opinion polarization: Effects of exposure to similar people with differing political views | PNAS. https://www.pnas.org/doi/abs/10.1073/pnas.2112552118 Cite
Almaatouq, A., Becker, J., Bernstein, M., Botto, R., Bradlow, E., Damer, E., Duckworth, A., Griffiths, T., Hartshorne, J., Law, E., Lazer, D., Liu, M., Matias, J. N., Rand, D., Salganik, M., Satlof-Bedrick, E., Schweitzer, M., Shirado, H., Suchow, J., … Yin, M. (2021). Scaling up experimental social, behavioral, and economic science. OSF Preprints. https://doi.org/10.31219/osf.io/wksv8 Cite Download
Abdullah Almaatouq, Mohammed Alsobay, Ming Yin, and Duncan J. Watts. (2021, September 21). Task complexity moderates group synergy. https://doi.org/10.1073/pnas.2101062118 Cite Download
Konitzer, T., Allen, J., Eckman, S., Howland, B., Mobius, M., Rothschild, D., & Watts, D. J. (2021). Comparing Estimates of News Consumption from Survey and Passively Collected Behavioral Data. Public Opinion Quarterly, 85(S1), 347–370. https://doi.org/10.1093/poq/nfab023 Cite Download
Hosseinmardi, H., Ghasemian, A., Clauset, A., Mobius, M., Rothschild, D. M., & Watts, D. J. (2021). Examining the consumption of radical content on YouTube. Proceedings of the National Academy of Sciences, 118(32), e2101967118. https://doi.org/10.1073/pnas.2101967118 Cite Download
Allen, J., Mobius, M., Rothschild, D. M., & Watts, D. J. (2021). Research note: Examining potential bias in large-scale censored data. Harvard Kennedy School Misinformation Review. https://doi.org/10.37016/mr-2020-74 Cite Download
Jake M. Hofman, Duncan J. Watts, Susan Athey, Filiz Garip, Thomas L. Griffiths, Jon Kleinberg, Helen Margetts, Sendhil Mullainathan, Matthew J. Salganik, Simine Vazire, Alessandro Vespignani & Tal Yarkoni. (2021, June 30). Integrating explanation and prediction in computational social science | Nature. https://www.nature.com/articles/s41586-021-03659-0 Cite
Abigail Z. Jacobs, Duncan J. Watts. (2021, April 16). A Large-Scale Comparative Study of Informal Social Networks in Firms. https://doi.org/10.1287/mnsc.2021.3997 Cite Download
Duncan J. Watts, David M. Rothschild, Markus Mobius. (2021, April 9). Measuring the news and its impact on democracy. https://doi.org/10.1073/pnas.1912443118 Cite Download
Almaatouq, A., Becker, J., Houghton, J. P., Paton, N., Watts, D. J., & Whiting, M. E. (2021). Empirica: a virtual lab for high-throughput macro-level experiments. Behavior Research Methods, 53(5), 2158–2171. https://doi.org/10.3758/s13428-020-01535-9 Cite Download
Lifchits, G., Anderson, A., Goldstein, D. G., Hofman, J. M., & Watts, D. J. (2021). Success stories cause false beliefs about success. Judgment and Decision Making, 16(6), 1439–1463. https://econpapers.repec.org/article/jdmjournl/v_3a16_3ay_3a2021_3ai_3a6_3ap_3a1439-1463.htm Cite
DAVID M. J. LAZER, ALEX PENTLAND, DUNCAN J. WATTS, SINAN ARAL, SUSAN ATHEY, NOSHIR CONTRACTOR, DEEN FREELON, SANDRA GONZALEZ-BAILON, GARY KING, HELEN MARGETTS, ALONDRA NELSON, MATTHEW J. SALGANIK, MARKUS STROHMAIER, ALESSANDRO VESPIGNANI, CLAUDIA WAGNER. (2020, August 28). Computational social science: Obstacles and opportunities. https://www.science.org/doi/abs/10.1126/science.aaz8170 Cite
Evaluating the fake news problem at the scale of the information ecosystem. (2020, April 3). https://doi.org/10.1126/sciadv.aay3539 Cite Download
Measuring the predictability of life outcomes with a scientific mass collaboration | PNAS. (2020, March 30). https://www.pnas.org/doi/abs/10.1073/pnas.1915006117 Cite
Almaatouq, A., Yin, M., & Watts, D. J. (2020). Collective problem-solving of groups across tasks of varying complexity. https://psyarxiv.com/ra9qy/download?format=pdf Cite
Lazer, D. M., Pentland, A., Watts, D. J., Aral, S., Athey, S., Contractor, N., Freelon, D., Gonzalez-Bailon, S., King, G., & Margetts, H. (2020). Computational social science: Obstacles and opportunities. Science, 369(6507), 1060–1062. Cite
Meyer, M. N., Heck, P. R., Holtzman, G. S., Anderson, S. M., Cai, W., Watts, D. J., & Chabris, C. F. (2019). Reply to Mislavsky et al.: Sometimes people really are averse to experiments. Proceedings of the National Academy of Sciences, 116(48), 23885–23886. https://doi.org/https://doi.org/10.1073/pnas.1914509116 Cite
Heck, P. R., Chabris, C., Watts, D. J., & Meyer, M. (2019). Sometimes People Dislike Experiments More than They Dislike Their Worst Conditions: Within-Subjects Evidence for “Experiment Aversion” and the A/B Effect. https://psyarxiv.com/jmxgc/download Cite
Risi, J., Sharma, A., Shah, R., Connelly, M., & Watts, D. J. (2019). Predicting history. Nature Human Behaviour, 3(9), 906–912. https://www.nature.com/articles/s41562-019-0620-8 Cite
Meyer, M. N., Heck, P. R., Holtzman, G. S., Anderson, S. M., Cai, W., Watts, D. J., & Chabris, C. F. (2019). Objecting to experiments that compare two unobjectionable policies or treatments. Proceedings of the National Academy of Sciences, 116(22), 10723–10728. Cite

PUBLICATIONS

PUBLICATIONS

PUBLICATIONS

Everything Is Obvious
Six Degrees