Dr. Matthew Salganik

Professor

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Biography

Matthew Salganik is the Alexander Stewart 1886 Professor of Sociology at Princeton University. His research interests center around digital technology's relationship with society, focusing on predictive modeling and social inference. Salganik gained recognition for his award-winning book 'Bit by Bit: Social Research in the Digital Age', which has been translated into multiple languages. His work has been published in prestigious journals such as Science, Nature, and Proceedings of the National Academy of Sciences, and he has received numerous accolades, including the Outstanding Recent Alumni Award from Columbia University. Salganik is involved with several interdisciplinary research centers at Princeton, such as the Princeton AI Lab and the Center for Information Technology Policy, and has worked as a Visiting Professor at Cornell Tech and a Senior Researcher at Microsoft Research. He engages in teaching graduate seminars and has contributed to advancing computational social science through various initiatives, including the Summer Institute in Computational Social Science, which he directed.

Research Interests

Experience

Alexander Stewart 1886 Professor of Sociology

2013-07-01 — Present

Princeton University • Princeton, NJ

Professor leading research and teaching initiatives in Sociology.

Senior Researcher

— 2014-08-01

Microsoft Research • New York, NY

Conducted research in computational social science and collaborated on various projects.

Visiting Professor

— 2018-05-01

Cornell Tech • New York, NY

Taught courses and engaged in research on technology and society.

Awards

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Outstanding Recent Alumni Award

2019-05-01
#

William Ogburn Mid-Career Award

2021-08-01
#

Commendation for Outstanding Teaching

2022-04-01

Courses

Social Networks Advanced Data Analysis for Social Science Limits to Prediction

Requirements for Princeton University

Doctorate Program
Requirements
GPA Requirement
Required:3
GRE General
TOEFL
Speaking
Required:27
IELTS
Speaking
Required:8
Prerequisites
Bachelor's degree in engineering or science Strong background in mathematics, materials, physics, or related engineering
Application Checklist
  • Academic Statement of Purpose
  • Personal Statement
  • Resume/CV
  • Three Letters of Recommendation
  • Transcripts
  • Application Fee
Specialization Notes

GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.