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Political Science

Nicholas Beauchamp

Headshot of Nicholas Beauchamp

Associate Professor of Political Science

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

  • Henry McCracken Fellowship, New York University, 2006-2012
  • Bradley Fellowship, New York University, 2009-2012
  • Research Fellowship, New York University, 2007, 2008
  • Johns Hopkins Technology Fellowship, 2003
  • Honors in Philosophy, Honors in English, Yale University, 1996
  • Elmore A. Willets Prize for Fiction, Yale University, 1996
  • Lloyd Mifflin Prize for Outstanding Work in English, Yale University, 1996
  • Albert H. Smyth Scholarship, Yale University, 1992


Related Schools & Departments

  • Education

    PhD, 2012, Political Science, New York University

  • Contact

  • Address

    931 Renaissance Park
    360 Huntington Avenue,
    Boston, MA 02115