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NULab for Texts, Maps and Networks
Nick Beauchamp

Nick Beauchamp
I am an Assistant Professor at Northeastern University in the Department of Political Science, the NULab for Text, Maps and Networks, and the Network Science Institute. I received my PhD from the NYU Department of Politics, specializing in U.S. politics (political behavior, campaigns, opinion, political psychology, social media) and political methodology (quantitative text analysis, machine learning, bayesian methods, agent-based models, networks).

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. My recent projects explore deliberative quality in online political forums; predict elections using Twitter textual data; test the representativeness of UK legislators based on their text-derived ideology; and visualize the rhetorical structures of political speeches. New projects include experimental methods for optimizing political persusasion, and inferring latent argument strength from political debates.

Recent Teaching

Introduction to Computational Statistics, PPUA 6301
Social Network Analysis, POLS 7334
Congress, POLS 3300 and POLS 7251
Quantitative Techniques, POLS 2400

Research

Research Interests

American Politics: Political Behavior, Campaigns, Congress, Political Psychology, Online and Social Networks

Political Methodology: Quantitative Text Analysis, Machine Learning, Bayesian Methods, Networks, Agent-based Models, Genetic Algorithms

Publications

"Predicting and Interpolating State-level Polls using Twitter Textual Data," American Journal of Political Science, forthcoming
ABSTRACT   PDF

"A Bottom-up Approach to Linguistic Persuasion in Advertising," Research Note in The Political Methodologist, Fall 2011

Nicholas Beauchamp, Henry Brady, Richard Fowles, Aviel Rubin, and Jonathan Taylor, 2004: "Findings of an independent panel on allegations of statistical evidence for fraud during the 2004 Venezuelan Presidential recall referendum," Observing the Venezuela Presidential Recall Referendum: Comprehensive Report, The Carter Center, Atlanta.

Working Papers

(Please feel free to email me for working drafts of any of these papers.)

"Climbing Mount Obamacare: Experimentally Optimized Textual Treatments,"
ABSTRACT

"Visualizing and Modeling Rhetorical Structures in Individual Documents,"
ABSTRACT

"Using Text to Scale Legislatures with Uninformative Voting"
ABSTRACT

"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"
ABSTRACT

"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"
ABSTRACT

Recent media

"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

"Visualizing Biographies of Artists of the Middle East," The Amory Art Show, New York, March 2015

"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

Conference Presentations

"Climbing Mount Obamacare: Experimentally Optimized Textual Treatments," New Directions in Analyzing Text as Data, October 2015

"Climbing Mount Obamacare: Experimentally Optimized Textual Treatments," APSA Annual Meeting, September 2015

"Creating More Persuasive Text through Response Surface Optimization," Society for Political Methodology Annual Conference, July 2015

"Experimentally Optimized Textual Treatments using Response Surfaces and Online Nelder-Mead," MPSA Annual Conference, March 2015

"Visualizing and Modeling Rhetorical Structures in Individual Documents," APSA Annual Meeting, August 2014.

"Scaling Appeals Court Judges using Unanimous Decisions," APSA Annual Meeting, August 2014.

"Visualizing and Modeling Rhetorical Structures," New Directions in Text, June 2014.

"Scaling Appeals Court Judges using Unanimous Decisions," MPSA Annual National Conference, March 2014.

"Predicting and Interpolating State-level Polling Using Twitter Textual Data," MPSA Annual National Conference, March 2014.

"Predicting and Interpolating State-level Polling Using Twitter Textual Data," APSA Annual Meeting, August 2013.

"Blossom: A new evolutionary strategy optimizer with applications to matching and sampling," APSA Annual Meeting, August 2013.

"Blossom: A new evolutionary strategy optimizer with applications to matching and sampling," Society for Political Methodology Summer Conference, July 2013.

"'Someone is Wrong on the Internet': Political Argument as the Exchange of Conceptually Networked Ideas," Political Networks Workshops & Conference, June 2013.

"Many Paths to an Opinion: Using the Text of Briefs and Oral Arguments to Predict and Explain Supreme Court Decisions," MPSA Annual National Conference, March 2013

"The Long-Term Effects of Political Argument as an Exchange of Ideas," MPSA Annual National Conference, March 2013

"Predicting and Explaining Supreme Court Decisions Using the Texts of Briefs and Oral Arguments," APSA Annual Meeting, September 2012 (canceled due to weather)

"A Hidden Markov Topic Model for Predicting Ideology and Opinion Change," Society for Political Methodology Summer Conference, July 2012

"A Correlated Topic Model of Online Political Argument and Opinion Change," MPSA Annual National Conference, March 2012

"A Bottom-up Approach to Linguistic Persuasion in Advertising," APSA Annual Meeting, September 2011

"A Generative Model of Political Argumentation with Correlated Topics and Strategic Speech," Society for Political Methodology Summer Conference, July 2011

"A Bottom-up Approach to Linguistic Persuasion in Advertising," Saint Louis Area Methods Meeting, April 2011

"Persuading Voters With Lots of Words: Predicting the Effects of TV Ads Using One-at-a-time Regression and Automated Text Analysis," MPSA Annual National Conference, March 2011

"How to Scale Legislatures with Text," Text as Data 2nd Annual Conference, March 2011

"Persuading voters with lots of words: A new technique for predicting the effects of TV ads using automated text analysis," Society for Political Methodology Summer Conference, July 2010

Tools for Text conference/workshop participant; "How to Scale Legislatures with Text" on recommended reading list, June 2010

Earlier Teaching

Social Networks, Lecturer, Columbia University, Spring 2013 (Syllabus and reading list)
Data Analysis for the Social Sciences, Lecturer, Columbia University, Fall 2012, Spring 2013 (Syllabus)
Math for Political Scientists, Lecturer, Columbia, Fall 2012 (Syllabus)
Power and Politics in America, Teaching Assistant, NYU, Spring 2011
Math for Political Science, Teaching Assitant, NYU, Fall 2008
Game Theory I, Teaching Assitant, NYU, Spring 2008
Quantitative Methods I, Teaching Assitant, NYU, Fall 2007

For more teaching, see my C.V.

Education and Employment

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

Committee: Jonathan Nagler, Michael Laver, Nathaniel Beck
Dissertation: "Persuasion, Ideology, and Speech: Using automated text analysis to model opinion formation and change"

M.A., Political Science, New York University, 2007

M.A., Literature in English, Johns Hopkins University, 2001

B.A., Honors in Philosophy, Honors in English, Yale University, 1996

For more details, see my C.V.

Contact

Nicholas Beauchamp
Department of Political Science
960A Renaissance Park
360 Huntington Avenue
Northeastern University
Boston, MA 02115

Office: RP 931
Email: n D0T beauchamp @northeastern.edu
Web: nickbeauchamp.com