Nick Beauchamp

Nick Beauchamp
Assistant Professor of Political Science
Collaborator with the Lab

Nick Beauchamp is a core faculty member of the Network Science Institute and the NULab for Text, Maps and Networks. His research uses techniques from natural language processing, machine learning, Bayesian statistics, and network analysis to examine how discussion, argument and deliberation affect political opinion in domains such as legislatures, campaigns, the judiciary, and social media. Recent work has included: using Twitter data to model deliberation and to predict political polls; tracing hate language evolution in individuals online; modeling presidential debates; using neural networks to predict votes from bill text; designing machine-human collaborations to forecast world events; and algorithmically generated persuasive text. He is currently working on a larger series of projects that model political deliberation as the strategic exchange of ideas drawn from complex mental networks of interlinked beliefs. More information about his work can be found at nickbeauchamp.com.

Current Lab Members

Director

David Lazer
Director

Senior Research Scientist

Jonathan Green
Senior Research Scientist
Jason Radford
Senior Research Scientist
Briony Swire Thompson
Senior Research Scientist

Project Manager

Janette Briceno
Project Manager

Research Programmer

Luke Horgan
Research Programmer

Post Doctoral Research Fellow

Kristin Lunz Trujillo
Post Doctoral Research Fellow
Matthew Simonson
Post Doctoral Research Fellow

PhD Student

Hanyu Chwe
PhD Student
Adina Gitomer
PhD Student
Stefan McCabe
PhD Student
Hong Qu
PhD Student
Alyssa Smith
PhD Student
Ata A. Uslu Ata A. Uslu
PhD Student

Lab Alumnus

Ronald Robertson
Lab Alumnus