Matthew Salganik

Matthew Salganik is the Alexander Stewart 1886 Professor of Sociology at Princeton University, with affiliations to the Center for Information Technology Policy, Office for Population Research, Center for Health and Wellbeing, and Center for Statistics and Machine Learning. His research bridges computational social science, social networks, and digital methodology, focusing on network-based statistical approaches for studying at-risk populations and innovative web-based data collection techniques.

• Ph.D. in Sociology from Columbia University (2007)
• Former Visiting Professor at Cornell Tech and Senior Researcher at Microsoft Research

Research interests span computational social science, social network analysis, digital data collection, and the predictability of life outcomes. He explores intersections between technology and society through projects like the Fragile Families Challenge and the development of open-source tools like the Open Review Toolkit. His work has been featured in Science, Nature, and PNAS, addressing issues in algorithmic accountability, digital epidemiology, and reproducibility.

Award-winning author of Bit by Bit: Social Research in the Digital Age, which has received multiple translations and honors including the PROSE Award and AAPOR Book Award. His research has been funded by the National Science Foundation, National Institutes of Health, UNAIDS, Sloan Foundation, and tech companies like Facebook and Google.

• Scientific awards: Outstanding Article Award (ASA), Outstanding Statistical Application Award (ASA), Leo Goodman Award, William Ogburn Mid-Career Award
• Teaching accolades: Princeton's commendation for outstanding teaching in computational social science

Collaborates with interdisciplinary teams across technology policy, AI ethics, and public health. Leads initiatives like the Summer Institute in Computational Social Science, fostering cross-disciplinary methodological training.