Asynchronous Poster Session

The list of posters featured asynchronously on the conference website.

Faculty Posters

  • Kenichi Ariga (University of Toronto)
    Matching Estimation for Causal Effect on Compositional Outcomes

  • James Bisbee (Princeton University)
    Co-author(s): Jan Zilinsky
    What Matters to Voters? Examining Micro-Level and Macro-Level Drivers of Citizens’ Economic and Political Evaluations

  • Jay Goodliffe (Brigham Young University)
    Using Latent Class Analysis to Explain Donor Behavior
    Recipient of the best faculty poster award

  • Stephanie Nail (Stanford University)
    Ineffective Attribution Testing: An exploration of individual differences in cognition between Liberals and Conservatives

  • Huan-Kai Tseng (National Taiwan University)
    Co-author(s): Osbern Huang, Waybe Lee, Yu-tzung Chang
    The Many Dimensions of Political Discourse on Taiwan among Chinese netizens: an analysis of 20 million Weibo posts

  • Clayton Webb (University of Kansas)
    Co-author(s): Clayton Webb, Cameron Wimpy
    I’ve Got the Power: A Survey of Issues Surrounding Statistical Power in the Design and Analysis of Survey Experiments

Graduate Student Posters


  • Sabrina Arias (University of Pennsylvania)
    Co-author(s): Robert Shaffer
    Legislative Networks and Agenda-Setting in the UNGA and UNSC

  • Samuel Baltz (University of Michigan)
    Estimating historical election results under counterfactual electoral systems

  • Soubhik Barari (Harvard)
    Scaling the YouTube Media Environment using Network and Text Data

  • Kyle Bedu (Pennsylvania State University)
    Model-Assisted Restricted Randomization for Network Experiments in Political Science

  • Paige Bollen (MIT)
    Co-author(s): Blair Read
    Don’t Know, Don’t Care: Non-Attitudes in African Public Opinion

  • Julia Bourkland (Indiana University)
    Co-author(s): Dr. Vanessa Cruz Nichols (mentor)
    Analyzing Gendered & Raced Editorial Scrutiny of Lawmakers in the U.S. and U.K.

  • Jacob Brown (Harvard University)
    Co-author(s): Matthew Blackwell, Sophie Hill, Kosuke Imai, Teppei Yamamoto
    Priming bias versus post-treatment bias in experimental designs

  • Ka Ming Chan (Ludwig Maximilian University of Munich)
    Would voters become more rightward leaning after they decide to support radical right party? Evidence from Germany

  • Angela Chesler (University of Notre Dame)
    Quantifying Triggers with Event Coincidence Analysis: An Application to Mass Civilian Killings in Civil War, 1989-2017

  • Dahyun Choi (Princeton University)
    Cheap Talk or Circuit to the Legislature: Why do Corporations Express Public Support for and Opposition against Free Trade?

  • Elisha Cohen (Emory University)
    Sensitivity Analysis for Outcome Tests to Evaluate Bias

  • Shusei Eshima (Harvard University)
    Co-author(s): Kosuke Imai, Tomoya Sasaki
    Keyword Assisted Topic Models

  • Laura Felone (University of Wisconsin System)
    Co-author(s): Khasan Redjabov, Eli August
    Conjoint Analysis in Studying Descriptive Representation

  • Ishita Gopal (Pennsylvania State University)
    Targeting and the Timing of Online Censorship: The Case of Venezuela

  • Simon Hoellerbauer (University of North Carolina - Chapel Hill)
    Distances in Latent Space: A Novel Approach to Analyzing Conjoints

  • Melody Huang (UCLA)
    Co-author(s): Erin Hartman, Naoki Egami, Luke Miratrix
    Leveraging observational outcomes to improve the generalization of experimental results
    Co-recipient of the best poster award in methods

  • Andrea Junqueira (Texas A&M University)
    Co-author(s): Ali Kagalwala, Andrew Philips, Guy Whitten
    New Frontiers in Dynamic Pie Modeling

  • Ali Kagalwala (Texas A&M University)
    Co-author(s): Andrea Junqueira, Guy D. Whitten, Laron K. Williams, Cameron Wimpy
    Modeling Time and Space Together

  • Sydney Kahmann (University of California, Los Angeles)
    Co-author(s): Erin Hartman, P. Jeffrey Brantingham, Jorja Leap
    LAPD Community Safety Partnership: Impact Evaluation on Violent Crime Using Augmented Synthetic Control Models

  • ByungKoo Kim (University of Michigan)
    Co-author(s): Yuki Shiraito, Saki Kuzushima
    Paragraph-citation Topic Models for Corpora with Citation Networks

  • Taegyoon Kim (Pennsylvania State University)
    The Spread of Promotion of Political Violence on Twitter

  • Isabel Laterzo (UNC Chapel Hill)
    Estimating the Dark Figure of Crime using Bayesian Additive Regression Trees plus Poststratification (BARP)

  • Isaac Mehlhaff (University of North Carolina at Chapel Hill)
    Measuring Political Polarization in Mass Publics: The Cluster-Polarization Coefficient


  • Nicola Nones (University of Virginia)
    The Moral Narrative of the European Sovereign Bond Crisis

  • Casey Petroff (Harvard University)
    The Politics of Science: Evidence from 19th-Century Public Health

  • Blake Reynolds (University of Wisconsin-Madison)
    Co-author(s): Marcy Shieh
    Voter Turnout and Campaign Mail Features

  • Oliver Rittmann (University of Mannheim)
    Co-author(s): Tobias Ringwald, Dominic Nyhuis
    When do Legislators Deliver Dramatic Legislative Speeches?

  • Fernando Rocha Rosario (Universidad Nacional Autónoma de M´éxico)
    Formalization of Political Analysis: Matrix of Possibles States and Strategie

  • Sooahn Shin (Harvard University)
    Measuring Issue-Specific Preferences from Votes

  • Maya Srikanth (California Institute of Technology)
    Co-author(s): Anqi Liu, Nicholas Adams-Cohen, Anima Anandkumar, R. Michael Alvarez
    Finding Social Media Trolls: Dynamic Keyword Selection Methods for Rapidly Evolving Online Debates

  • Fabricio Vasselai (University of Michigan)
    Supervised Learning election forensics with Multi-Agent simulated training data

  • Nuannuan Xiang (The University of Michigan)
    Co-author(s): Nuannuan Xiang; Kevin Quinn
    Gaussian Process Models for Causal Inference with Time-Series Cross-Sectional Data
    Co-recipient of the best poster award in methods

  • Soichiro Yamauchi (Harvard University)
    Estimating Population Quantities from Multiple Data Sources using the Structural Tensor Factorization

  • Seo Eun Yang (Ohio State University)
    How a deep neural network contributes to learning causal graph and forecasting political dynamics

  • Luwei Ying (Washington University in St. Louis)
    When Ideology Gives in to Strategy: A Text-As-Data Approach to Recover Jihadist Groups’ Rhetorical Tactics in Media Releases
    Co-recipient of the best poster award in applications

  • Junlong Zhou (New York University)
    Estimating Heterogeneous Effect on Clustered Data using Mixed-Effects Model