Estimating the Dark Figure of Crime Using Bayesian Additive Regression Trees Plus Poststratification (BARP) Isabel Laterzo (University of North Carolina, Chapel Hill) Abs... Read More Estimating the Dark Figure of Crime Using Bayesian Additive Regression Trees Plus Poststratification (BARP)
Framing Democracy: Identifying Autocratic Anti-Democratic Propaganda Using Word Embeddings Patrick Chester (New York University) Read More Framing Democracy: Identifying Autocratic Anti-Democratic Propaganda Using Word Embeddings
Estimating Heterogeneous Effect on Clustered Data Using Mixed-Effects Model Junlong Zhou (New York University) Abstract: Estimating the heterogeneous treatment effect is essential to assess the generality... Read More Estimating Heterogeneous Effect on Clustered Data Using Mixed-Effects Model
Decoding Propaganda Slogans in China: Reading Between the Lines Using Word Embeddings Yin Yuan (University of California, San Diego) Abstract... Read More Decoding Propaganda Slogans in China: Reading Between the Lines Using Word Embeddings
Attributable Risk of Race: Detecting Partisan and Racial Gerrymandering Sidak Yntiso and Sanford Gordon (New York University) Read More Attributable Risk of Race: Detecting Partisan and Racial Gerrymandering
Religiosity and Secularism: A Text-as-Data Approach to Recover Jihadist Groups' Rhetorical Strategies Luwei Ying (Washington University in St. Louis) *Award for Best Graduate Student Poster - Applications* Read More Religiosity and Secularism: A Text-as-Data Approach to Recover Jihadist Groups' Rhetorical Strategies
How a Deep Neural Network Contributes to Learning Causal Graph and Forecasting Political Dynamics Seo Eun Yang (Ohio State University) Abstract: Nonlinearity... Read More How a Deep Neural Network Contributes to Learning Causal Graph and Forecasting Political Dynamics
Estimating Population Quantities From Multiple Data Sources Using the Structural Tensor Factorization Soichiro Yamauchi (Harvard University) Abstract: Estimating... Read More Estimating Population Quantities From Multiple Data Sources Using the Structural Tensor Factorization
Measuring Political Elite Networks With Wikidata Omer Faruk Yalcin (Pennsylvania State University) Abstract: An... Read More Measuring Political Elite Networks With Wikidata
Gaussian Process Models for Causal Inference With Time-Series Cross-Sectional Data Nuannuan Xiang and Kevin Quinn (University of Michigan) *Award for Best Graduate Student Poster - Methods* Read More Gaussian Process Models for Causal Inference With Time-Series Cross-Sectional Data
Joint Image-Text Classification Using a Transformer-Based Architecture Patrick Wu and Walter R. Mebane Jr. (University of Michigan) ... Read More Joint Image-Text Classification Using a Transformer-Based Architecture
Causal Inference Under Temporal and Spatial Interference Ye Wang (New York University) Abstract: Many social events and... Read More Causal Inference Under Temporal and Spatial Interference
Supervised Learning Election Forensics With Multi-Agent Simulated Training Data Fabricio Vasselai (University of Michigan) Read More Supervised Learning Election Forensics With Multi-Agent Simulated Training Data
Rigorous Subjectivity: Demystifying and Improving Human Coding With Statistical Models Matthew Tyler (Stanford University) Abstract: Researchers are... Read More Rigorous Subjectivity: Demystifying and Improving Human Coding With Statistical Models
A Win or a Flop? Identifying and Estimating Unintended Protest Costs in Measuring Success Outcomes Kimberly Turner (Southern Illinois University, Carbondale) Abs... Read More A Win or a Flop? Identifying and Estimating Unintended Protest Costs in Measuring Success Outcomes
Finding Social Media Trolls: Dynamic Keyword Selection Methods for Rapidly Evolving Online Debates Maya Srikanth, Anqi Liu, Nicholas Adams-Cohen, Anima Anandkumar and R. Michael Alvarez (California Institute of Technology) Read More Finding Social Media Trolls: Dynamic Keyword Selection Methods for Rapidly Evolving Online Debates
Multiplicative Interactions in Error Correction Models Flávio Souza (Texas A&M University) Abstract: Error correction... Read More Multiplicative Interactions in Error Correction Models
Measuring Issue-Specific Preferences From Votes Sooahn Shin (Harvard University) Read More Measuring Issue-Specific Preferences From Votes
Voter Turnout and Campaign Mail Features Marcy Shieh and Blake Reynolds (University of Wisconsin-Madison) Abstract: The way images and text are presented to us can have... Read More Voter Turnout and Campaign Mail Features
Agnostic Sensitivity Analysis Christopher Schwarz (New York University) Abstract: The threat... Read More Agnostic Sensitivity Analysis
The Consequences of Social Interaction on Outparty Affect and Stereotypes Erin Rossiter (Washington University in St. Louis) *Award for Best Graduate Student Poster - Applications* Read More The Consequences of Social Interaction on Outparty Affect and Stereotypes
Using Poisson Binomial Models to Reveal Voter Preferences Evan Rosenman and Nitin Viswanathan (Stanford University) Read More Using Poisson Binomial Models to Reveal Voter Preferences
Formalization of Political Analysis: Matrix of Possibles States and Strategies Fernando Rocha Rosario (Universidad Nacional Autónoma de México) ... Read More Formalization of Political Analysis: Matrix of Possibles States and Strategies
Pay attention to this! Explaining emphasis in legislative speech. Oliver Rittmann (University of Mannheim), Tobias Ringwald (Karlsruhe Institute of Technology) and Dominic Nyhuis (University of... Read More Pay attention to this! Explaining emphasis in legislative speech.
Changing the Dialogue: Candidate Position-Taking in Primary Elections Rachel Porter, Sarah Treul and Maura McDonald (University of... Read More Changing the Dialogue: Candidate Position-Taking in Primary Elections