Matthew J. Salganik

Professor, Department of Sociology
Phone: 
609-258-8867
Email Address: 
mjs3@princeton.edu
Office Location: 
145 Wallace Hall

Matthew Salganik is a Professor in the Department of Sociology. His interests include social networks and computational social science. One main area of his research has focused on developing network-based statistical methods for studying populations most at risk for HIV/AIDS. A second main area of work has been using the World Wide Web to collect and analyze social data in innovative ways. He is the author of Bit by Bit: Social Research in the Digital Age, and his research has been published in journals such as Science, Sociological Methodology, and Journal of the American Statistical Association. His papers have won the Outstanding Article Award from the Mathematical Sociology Section of the American Sociological Association and the Outstanding Statistical Application Award from the American Statistical Association, and he received the Leo Goodman Award from the Methodology Section of the American Sociological Association. Popular accounts of his work have appeared in the New York Times, Wall Street Journal, Economist, and New Yorker. His research has been funded by the National Science Foundation, National Institutes of Health, Joint United Nations Program for HIV/AIDS (UNAIDS), Sloan Foundation, Facebook, and Google.

How do Social Patterns Emerge from the Actions and Interactions of Individuals?

Matthew Salganik is Professor of Sociology at Princeton University, and he is affiliated with several of Princeton's interdisciplinary research centers: the Office for Population Research, the Center for Information Technology Policy, the Center for Health and Wellbeing, and the Center for Statistics and Machine Learning. His research interests include social networks and computational social science. He is the author of Bit by Bit: Social Research in the Digital Age.

Salganik's research has been published in journals such as Science, PNAS, Sociological Methodology, and Journal of the American Statistical Association. His papers have won the Outstanding Article Award from the Mathematical Sociology Section of the American Sociological Association and the Outstanding Statistical Application Award from the American Statistical Association, and he received the Leo Goodman Award from the Methodology Section of the American Sociology Association. Popular accounts of his work have appeared in the New York Times, Wall Street Journal, Economist, and New Yorker. Salganik's research has been funded by the National Science Foundation, National Institutes of Health, Joint United Nations Program for HIV/AIDS (UNAIDS), Sloan Foundation, Facebook, and Google. During sabbaticals from Princeton, he has been a Visiting Professor at Cornell Tech and a Senior Research are Microsoft Research.

 

Publications List: 

For an up to date list, visit my personal web site.