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Matthew Salganik is the Alexander Stewart 1886 Professor of Sociology at Princeton University. His research interests lie at the intersection of social science and data science, focusing on the predictability of life outcomes, machine learning applications, and the impact of technology on society. Salganik has authored an award-winning book, 'Bit by Bit: Social Research in the Digital Age', which has been translated into five languages. His scientific contributions include publications in top-tier journals such as Science, Nature, and the Proceedings of the National Academy of Sciences. Salganik has been awarded numerous honors including the Outstanding Article Award from the American Sociological Association and the Leo Goodman Mid-Career Award. He has also been active in various interdisciplinary initiatives at Princeton, including the Princeton AI Lab and Princeton Precision Health, contributing to discussions on AI policy and ethical issues in data science. His notable works include research on survey methodologies and the network scale-up method, which enhances estimates of hard-to-reach populations.
Princeton University • Princeton, NJ
Teach courses in sociology and oversee research projects.
Cornell Tech • New York, NY
Engaged in research on digital technology's impact on society.
Microsoft Research • New York, NY
Conducted research on networked data and social computing.
Innovative method for estimating personal network sizes.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.