Synchronous Poster Sessions

The list of posters from graduate students approaching the job market, presented during synchronous sessions.

Tuesday, July 14

2:30pm to 4:30pm Eastern time (11:30am to 1:30pm Pacific time)

Virtual Session 1: Causal Inference and Engogeneity

  • Ye Wang (New York University)
    Causal Inference under Temporal and Spatial Interference

  • Gemma Dipoppa (University of Pennsylvania)
    How Criminal Organizations Expand to Strong States: Migrants’ Exploitation and Vote Buying in Northern Italy

  • Christopher Schwarz (New York University)
    Agnostic Sensitivity Analysis

Virtual Session 2: Comparative Politics and Regression Discontinuity

  • Ali Ahmed (New York University)
    When Inequality Matters: The Role of Wealth during England’s Democratic Transition

  • Kathryn Baragwanath (UCSD)
    Co-authors: Ella Bayi
    Collective Property Rights Reduce Deforestation in the Brazilian Amazon

Virtual Session 3: Difference-in-Difference Models

  • Thomas Leavitt (Columbia University)
    Drawing Causal Inferences from Difference-in-Differences Designs under Uncertainty in Parallel Trends

  • Kimberly Turner (Southern Illinois University Carbondale)
    A Win or A Flop? Identifying and Estimating Unintended Protest Costs in Measuring Success Outcomes

  • Jeremy Bowles (Harvard University)
    When Electoral Access Does Not Promote Participation

  • Rachel Porter (University of North Carolina)
    Co-authors: Sarah Treul, Maura McDonald
    Changing the Dialogue: Candidate Position-Taking in Primary Elections

Virtual Session 4: Experimental Designs

  • Alessio Albarello (University of Rochester)
    Who Gets Their Way in Coalition Policy?

  • Gustavo Diaz (University of Illinois at Urbana–Champaign)
    A Variable Selection Approach to Spillovers in Observational Studies

  • Connor Jerzak (Harvard University)
    A General Method for Detecting & Characterizing Interference in Field Experiments

Virtual Session 5: Ideal Point Estimation

  • Tzu-Ping Liu (University of California Davis)
    Co-authors: Takanori Fujiwara
    Contrastive Multiple Component Analysis (cMCA): Applying the Contrastive Learning Method to Identify Political Subgroups

  • Evan Rosenman (Stanford University)
    Co-authors: Nitin Viswanathan
    Using Poisson Binomial Models to Reveal Voter Preferences

  • Naijia Liu (Princeton University)
    Latent factor approach to missing not at random

  • Gento Kato (University of California, Davis)
    Co-authors: Tzu-Ping Liu, Samuel Fuller
    Non-Parametric Bridging of Non-Parametric Ideological Scales: Application to Mapping Voters on Politicians’ Ideological Space

Virtual Session 6: Item Response/Crosswise Models

  • Yuki Atsusaka (Rice University)
    Co-authors: Randy Stevenson, Ahra Wu
    Bias-Corrected Crosswise Estimators for Sensitive Inquiries

  • Caroline Lancaster (UNC Chapel Hill)
    Value Shift: Immigration Attitudes and the Sociocultural Divide

  • Zoe Nemerever (University of California San Diego)
    Urban-Rural Divide in State Political Parties

  • Haosen Ge (Princeton University)
    Measuring Regulatory Barriers Using Annual Reports of Firms

Wednesday, July 15

2:30pm to 4:30pm Eastern time (11:30am to 1:30pm Pacific time)

Virtual Session 7: Machine Learning

  • Matthew Tyler (Stanford University)
    Rigorous Subjectivity: Demystifying and Improving Human Coding with Statistical Models

  • Andrew Halterman (Massachusetts Institute of Technology)
    Extracting Political Events from Text Using Grammatical Dependency Parsing and Machine Learning

  • Shiyao Liu (Massachusetts Institute of Technology)
    Beyond Topics: Semi-Supervised Learning for Texts from a Measurement Perspective

Virtual Session 8: Political Behavior and Measurement

  • Shiro Kuriwaki (Harvard University)
    Clustering large-scale ballot data with varying choice sets

  • Kazuma Mizukoshi (University College London)
    A new multilevel-based indicator for party system nationalization

  • Sidak Yntiso (New York University)
    Co-authors: Sanford Gordon
    Attributable Risk of Race: Detecting Partisan and Racial Gerrymandering

  • Gabriel Madson (Duke University)
    The Heuristic Issue Voter: Issue Preferences and Candidate Choice

Virtual Session 9: Social Media, Social Networks and Democracy

  • Omer Faruk Yalcin (Pennsylvania State University)
    Measuring Political Elite Networks with WikiData

  • Adam Breuer (Harvard University)
    Co-authors: R. Eilat (Facebook Research), U. Weinsberg (Facebook Research)
    Friend or Faux: Social Network-Based Early Detection of Fake User Accounts on Facebook

  • Patrick Chester (New York University)
    Framing Democracy: Identifying Autocratic Anti-Democratic Propaganda Using Word Embeddings

  • Sean Norton (UNC-Chapel HIll)
    Who Do You Think You’re Fooling? Examining the Internal Russian Disinformation Campaign

Virtual Session 10: Surveys and Survey Experiments

  • Natalia Lamberova (University of California, Los Angeles)
    The Puzzling Politics of R&D: Signaling Competence through Risky Projects

  • Matthew Graham (Yale University)
    Certain. Wrong. Misinformed? Evaluating Survey-Based Measures of Political Misperceptions

  • Erin Rossiter (Washington University in St. Louis)
    The Consequences of Social Interaction on Outparty Affect and Stereotypes
    Co-recipient of the best poster award in applications

Virtual Session 11: Text and Image Data

  • Benjamin Guinaudeau (University of Konstanz)
    Co-authors: Simon Roth (University of Konstanz)
    Floor Speeches and Ideological Position: Estimating Ideology of Representatives

  • Patrick Wu (University of Michigan)
    Co-authors: Walter R. Mebane, Jr.
    Joint Image-Text Classification Using A Transformer-Based Architecture

  • Yin Yuan (University of California, San Diego)
    Decoding Propaganda Slogans in China: Reading Between the Lines Using Word Embeddings

Virtual Session 12: Time Series and Survival Analysis

  • Nadiya Kostyuk (University of Michigan, Ann Arbor)
    Diffusion of Cybersecurity Policies

  • Seo-young Silvia Kim (California Institute of Technology)
    Donation Dynamics: Do Critical Campaign Events Influence Contributions?

  • Flavio Souza (Texas A&M University)
    Multiplicative Interactions in Error Correction Models

  • Ryden Butler (Arts and Sciences at Washington University in St. Louis)
    Learning from Likes: The Effect of Social Engagement Feedback on Politicians’ Social Media Communications