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Sharad Goel
Assistant Professor
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Bio
Sharad's primary area of research is computational social science, an emerging discipline at the intersection of computer science, statistics, and the social sciences. He's particularly interested in applying modern computational and statistical techniques to study social and political policies, such as stop-and-frisk, swing voting, filter bubbles, do-not-track, and media bias. Before joining Stanford, Sharad was a senior researcher at Microsoft Research and Yahoo Labs.
Papers92 papers
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AIES, pp.22-28, (2020)
Science advances, no. 7 (2020)
Journal of The Royal Statistical Society Series A-statistics in Society, no. 3 (2020): 771-800
Emma Pierson, Camelia Simoiu,Jan Overgoor,Sam Corbett-Davies, Daniel Jenson, Amy Shoemaker, Vignesh Ramachandran, Phoebe Barghouty, Cheryl Phillips,Ravi Shroff,Sharad Goel
Nature human behaviour, pp.1-10, (2020)
AMERICAN POLITICAL SCIENCE REVIEW, no. 2 (2020): 456-469
Allison Koenecke, Andrew Nam, Emily Lake, Joe Nudell, Minnie Quartey, Zion Mengesha, Connor Toups,John R Rickford,Dan Jurafsky,Sharad Goel
Proc. Natl. Acad. Sci. USA, no. 14 (2020): 7684-7689
AIES, pp.64-70, (2020)
AIES, pp.469-476, (2019)
ICWSM, pp.661-670, (2019)
SOUPS @ USENIX Security Symposium, (2019)
pp.1-17 (2019)
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Companion Proceedings of The 2019 World Wide Web Conference, pp.1296-1296, (2019)
arXiv: Applications, (2018)
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arXiv: Methodology, (2018)
Cited by3Bibtex
Journal of the American Statistical Association, no. 522 (2018): 607-614
Cited by4Bibtex
ANNALS OF INTERNAL MEDICINE, no. 12 (2018): 883-+
arXiv: Computers and Society, (2018)
economics and computation, pp.705-638, (2018)
Cited by4EIBibtex
international conference on artificial intelligence and statistics, (2018)
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