SMaPP: Social Media and Political Participation

Lab Associates

beauchampNickNick Beauchamp

Personal Site

Nick Beauchamp’s 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. His recent work examines deliberative quality in online political forums; predicts elections using Twitter textual data; tests the representativeness of UK legislators based on their text-derived ideology; and visualizes the rhetorical structures of political speeches. Current projects include experimental methods for optimizing political advertisements, and the prediction of judicial opinions and ideologies.


eganPatrickPatrick J. Egan

Personal Site

Patrick J. Egan (Associate Professor of Politics and Public Policy) specializes in public opinion, political institutions and their relationship in American politics. He is author of Partisan Priorities: How Issue Ownership Drives and Distorts American Politics (Cambridge, 2013) and co-editor of Public Opinion and Constitutional Controversy (Oxford, 2008). His current research includes an investigation into how social media use affects and interacts with political knowledge to change political attitudes. Follow him on Twitter:@Patrick_J_Egan.


kappagodaSamanthaSamantha Kappagoda

Personal Site

Samantha Kappagoda (MBA Analytic Finance and Statistics, University of Chicago, M.A. Economics University of Toronto, B.Sc. Mathematics, Imperial College) Chief Economist, Risk Economics, Inc.; Visiting Scholar, Courant Institute of Mathematical Sciences; RiskEcon Lab® at NYU; Senior Editorial Advisory Board, The Journal of Risk Finance.


larsonJenniferJenn Larson

Personal Site



Jenn Larson is an Assistant Professor in NYU’s Politics Department. She received her Ph.D. from Harvard University in 2012. Her research is half on game theoretic models that determine how social networks matter for outcomes like protests, ethnic conflict, self-governance, and other instances of people coming together to try to cooperate in some endeavor, and half on empirically detecting the networks that transmit credible information and encourage people to act.



David K. A. Mordecai




Risk Econ® Lab for Decision Metrics (; NYU Visiting Scholar at Courant Institute of Mathematical Sciences (; Courant Financial Mathematics Program, Fellow and Advisory Board Member; Scientist-in-Residence, Partnership for NYC FinTech Innovation Lab (; President, Risk Economics® (; Board of Governors, New York Academy of Sciences