I am an Assistant Professor of Political Science at Northeastern University, a core faculty member of the NULab for Text, Maps and Networks, and a core faculty member of the Network Science Institute. My research examines how political opinions form and change as a result of discussion, deliberation and argument in domains such as legislatures, campaigns, social media, and the judiciary, using techniques from machine learning, automated text analysis, and social network analysis.
American Politics: Political Behavior, Politican Communication, Social Networks, Congress, Political Psychology
Political Methodology: Natural Language Processing, Network Analysis, Machine Learning, Bayesian Methods
"DebateVis: Visualizing Political Debates for Non-Expert Users." IEEE VIS Short Papers 2020. (with South, L., Schwab, M., Wang, L., Wihbey, J., & Borkin, M.)
"Educational Accountability and State ESSA Plans," Education Policy 2020. (with John Portz)
"Why Keep Arguing? Predicting Engagement in Political Conversations Online," Sage Open 2019. (with Sarah Shugars)
"Microblog Conversation Recommendation via Joint Modeling of Topics and Discourse," Proceedings of the North American Association for Computational Linguistics 2018. (with Xingshan Zeng, Jing Li, Lu Wang, Sarah Shugars, Kam-Fai Wong)
"Winning on the Merits: The Joint Effects of Content and Style on Debate Outcomes," Transactions of the Association for Computational Linguistics 2018 (with Lu Wang, Sarah Shugars, and Kechen Qin)
"Predicting and Interpolating State-level Polls using Twitter Textual Data," American Journal of Political Science 2017
"What Terrorist Leaders Want: A Content Analysis of Terrorist Propaganda Videos," Studies in Conflict and Terrorism, 2016 (with Max Abrahms and Joseph Mroszczyk)
"A Bottom-up Approach to Linguistic Persuasion in Advertising," (Research Note) The Political Methodologist, 2011.Book Chapters
"Modeling and Measuring Deliberation Online," Book chapter, Oxford Handbook of Networked Communication, 2018.
"Measuring Public Opinion with Social Media Data," Book chapter, Oxford Handbook of Polling and Polling Methods, 2017 (with Marko Klasnja, Pablo Barbera, Joshua Tucker and Jonathan Nagler)
"Visualizing Biographies of Artists of the Middle East," Exhibit, The Amory Art Show, New York, March 2015
Excerpt 1: Biography plotmaps Excerpt 2: Co-exhibition network
The State of the Union Address in a Single Image The Monkey Cage, Washingtonpost.com, January 2015
A Network Analysis of the Ferguson Witness Reports The Monkey Cage, Washingtonpost.com, December 2014
"The Ideological Position of Obama's SOTU Relative to Past Presidents," The Monkey Cage, Washingtonpost.com, January 2012
"Findings of an independent panel on allegations of statistical evidence for fraud during the 2004 Venezuelan Presidential recall referendum," in Observing the Venezuela Presidential Recall Referendum: Comprehensive Report, The Carter Center, 2004 (with Henry Brady, Richard Fowles, Aviel Rubin, and Jonathan Taylor)
Moving through a 'space of hate' NiemanLab, August 2018
This algorithm identifies the key ingredients to winning a debate Digital Trends, June 2018
"The Persuasion Principle," Impact: Journal of the Market Research Society, London UK, January 2016
Inside the Message Machine that Could Make Politicians More Persuasive NPR's All Things Considered, October 2015
An Algorithm to Help Politicians Pander Wired magazine, October 2015
How to Make Your Speeches Better, Automatically Pacific Standard magazine, September 2015
(Please feel free to email me for working drafts of any of these papers.)
"Climbing Mount Obamacare: Experimentally Optimized Textual Treatments,"
"Visualizing and Modeling Rhetorical Structures in Individual Documents,"
"Using Text to Scale Legislatures with Uninformative Voting"
"A Bottom-up Approach to Linguistic Persuasion in Advertising"
ABSTRACT , POSTER
" 'Someone is Wrong on the Internet': Political Argument as the Exchange of Conceptually Networked Ideas"
ABSTRACT , POSTER
"Predicting and Explaining Supreme Court Decisions Using the Texts of Briefs and Oral Arguments"
"Blossom: A new evolutionary strategy optimizer with applications to matching and sampling"
ABSTRACT , POSTER , R code
"How do we combine issues? Simultaneously Estimating Spatial Metrics and Utility Functions"
Bayesian and Network Statistics, NETS 7983
Introduction to Computational Statistics, PPUA 6301 (Syllabus)
Social Network Analysis, POLS 7334 (Syllabus)
Congress, POLS 3300 and POLS 7251 (Syllabus)
Quantitative Techniques, POLS 2400
Social Networks, Columbia University, Spring 2013
Data Analysis for the Social Sciences, Columbia University, Fall 2012, Spring 2013 (Syllabus)
Math for Political Scientists, Columbia University, Fall 2012 (Syllabus)
Power and Politics in America, Teaching Assistant, NYU, Spring 2011
Math for Political Science, Teaching Assistant, NYU, Fall 2008
Game Theory I, Teaching Assistant, NYU, Spring 2008
Quantitative Methods I, Teaching Assistant, NYU, Fall 2007
Assistant Professor, Department of Political Science, Northeastern University, 2013-
Lecturer in Discipline, Department of Political Science and Quantitative Methods in the Social Sciences Program, Columbia University, 2012-2013
Ph.D., Political Science, New York University, September 2012
M.A., Literature in English, Johns Hopkins University, 2001
B.A., Philosophy, English, Yale University, 1996