Quantitative Social Science Colloquium

The Quantitative Social Science Colloquium takes place Fridays, 12pm-1:30pm, in 127 Corwin.

The Quantitative Social Science Colloquium is a forum where graduate students and faculty members from various social science disciplines present their ongoing research that either applies or develops cutting-edge quantitative methods.  Occasionally, external speakers are invited to give a presentation.  The seminar is jointly sponsored by the Departments of Politics, Psychology and Sociology.

The Faculty Coordinators are Tom Griffiths, Dean KnoxBetsy Levy-PaluckJohn LondreganMarc RatkovicMatthew Salganik, and Brandon Stewart. The Graduate Student Coordinators are Naijia Liu and Ian Lundberg.  For questions about logistics please contact the graduate student coordinators. For all other questions please contact Brandon Stewart.

Papers are posted in advance of the presentation. You may download them by clicking the presentation title in the table below.

Quantitative Social Science Colloquium Google Calendar (Subscribe)

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Past Seminars

2008-2009 | 2010-2011 | 2011-2012 | 2012-2013 | 2013-2014 | 2014-2015  | 2015-2016  | 2016-2017 | 2017-2018


Current Year Seminars
Date Presenter Title

Sept. 14, 2018

Arvind Narayanan

(Computer Science, Princeton)

Data as a mirror of society: Lessons from the emerging science of fairness in machine learning

Sept. 21, 2018

Naoki Egami

(Political Science, Princeton)

Causal Diffusion Analysis with Stationarity: How Hate Crimes Diffuse across Space

Sept. 28, 2018

Adeline Lo

(Political Science, Princeton)

Covariate screening in high dimensional data: applications to text data and forecasting

Oct. 5, 2018

Ted Enamorado

(Political Science, Princeton)

Active Learning for Probabilistic Record Linkage

Oct. 12, 2018

Sherry Wu

(Psychology, Princeton)


Lewin at work: Increasing productivity through group influence


Oct. 19, 2018

Han Zhang

(Sociology, Princeton)

CASM: A Deep-Learning Approach for Identifying Collective Action Events with Text and Image Data from Social Media

Oct. 26, 2018

Ashley Gromis

(Sociology and Eviction Lab, Princeton)

Estimating Eviction Prevalence Using Millions of Public Court Records

Nov. 9, 2018



Nov. 16, 2018

Cynthia Rudin

(Computer Science, Duke)

Learning Certifiably Optimal Rule Lists for Categorical Data

Nov. 30, 2018

Betsy Levy-Paluck

(Psychology and Woodrow Wilson School, Princeton)

Open Science Practices are on the Rise Across Four Social Science Disciplines: New evidence

Dec. 7, 2018

Betsy Sinclair

(Political Science, Washington University in St. Louis)

All (Mayoral) Politics is Local?

Dec. 14, 2018

Kevin Munger

(Political Science, Princeton)

Temporal Validity in Online Social Science




Feb. 8, 2019

Ryan Adams

(Computer Science, Princeton)


Feb. 15, 2019



Feb. 22, 2019

Susan Athey

(Economics, Stanford Graduate School of Business) 


Mar. 1, 2019

Olga Russakovsky

(Computer Science, Princeton)


Mar. 8, 2019


Max Goplerud

(Government, Harvard)



Mar. 15, 2019


In Song Kim

(Political Science, MIT)


Mapping Political Communities: A Statistical Analysis of Lobbying Networks in Legislative Politics

Mar. 29, 2019

Jon Kleinberg

(Computer Science, Cornell)


Apr. 5, 2019

Tom Griffiths

(Psychology, Princeton)


Apr. 12, 2019

Bruce Desmarais

(Political Science, Penn State)


Apr. 19, 2019

Simine Vazire

(Psychology, UC Davis)


Apr. 26, 2019

Erin Hartman

(Statistics and Political Science, UCLA)


May. 3, 2019

TBA Event