Professor Dr. Matthew Salganik profile photo

Professor Dr. Matthew Salganik

Professor

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Biography

Matthew Salganik is the Alexander Stewart 1886 Professor of Sociology at Princeton University. He is known for his research in the fields of quantitative sociology, machine learning, and the intersections of social science and data science. He has authored the award-winning book 'Bit by Bit: Social Research in the Digital Age' which has been translated into five languages. Salganik's research is published in prestigious journals such as Science, Nature, and PNAS, and focuses on using innovative methodologies to understand complex social phenomena. He has received multiple awards including the Leo Goodman Mid-Career Award and the Outstanding Recent Alumni Award from Columbia University's Graduate School of Arts and Sciences. Salganik actively contributes to academic and policy discussions on technology and society and has been involved in numerous research projects funded by leading institutions. He is also a Fulbright fellow and has held visiting positions at Cornell Tech and Microsoft Research. His work aims to bridge the gap between data science and societal impacts, making significant contributions to both academia and public discourse.

Research Interests

Machine Learning Sociology of Data Social Network Analysis Quantitative Methods Public Policy Digital Society

Experience

Professor

2013-07-01 — Present

Princeton University • Princeton, NJ

Leading research in sociology with an emphasis on data science and machine learning.

Director

2019-05-01 — 2022-05-01

Center for Information Technology Policy • Princeton, NJ

Overseeing research on the relationship between technology and society.

Awards

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Outstanding Recent Alumni Award

2019-05-01
#

Leo Goodman Mid-Career Award

2015-08-01

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.