Graduate Student Poster Session: Friday

Causal Inference: Matching and other Approaches

“Matching Text with Embedded Topic Modeling: An Application to Anonymity, Preference Falsification and Polarization on China's Social Media”
Haohan Chen

“Gender and Legislative Effectiveness in the Argentine Chamber of Deputies”
Kaitlin Senk

“The Politics of Local Immigration Enforcement: A Matching with Difference-in-Differences Design”
Asya Magazinnik

“Matching Bounds: How Choice of Matching Algorithm Impacts Treatment Effects Estimates and What to Do about It”
Marco Morucci and Cynthia Rudin

“Credible or Confounded? What We Know and Don't about Who Supports Peace with the FARC”
Francesca Parente and Chad Hazlett

"Improving Model-Building Workflows for Predicting Heterogeneous Treatment Effects"
Ben Fifield

“Lying on Surveys: Methods for List Experiments with Direct Questioning”
Winston Chou

“Identification of Causal Diffusion Effects Using Stationary Directed Acyclic Graphs”
Naoki Egami

Network Analysis

“Using network analysis to model drug-trafficking routes and their consequences”
Marco Alcocer

“Comparing the Responsiveness of Elected and Appointed Public Utilities Commissioners”
Ken Stallman, Srinivas “Chinnu” Parinandi, and Matthew Hitt

“Measurement Error and the Specification of W in Spatial Regression Models”
Garrett N. Vande Kamp

“Statistical Inference for Multilayer Networks”
Ted Hsuan Yun Chen

“Detecting Heterogeneity and Inferring Latent Roles in Longitudinal Networks”
Benjamin Campbell

“Scaling at scale: Ideal point estimation for network data of any size”
Ryden Butler

Bayesian Analysis

“Donor-Recipient Relations and the Channel of Foreign Aid Delivery”
Sarah Hunter

“A Multidimensional Dynamic Group-Level IRT Model: With Applications to Spanish Regions”
Elissa Berwick and Devin Caughey

“A Bayesian Nonparametric Approach to Topic Consistent Latent Variables: An Application to U.S. Congressional Roll Call Scaling”
Kevin McAlister

“Addressing Uncertainty in the Choice of Correlation Function in Gaussian Process Modeling with Bayesian Model Averaging”
Rob Williams

“Modeling Latent Heterogeneity Using Hierarchical Dependent Dirichlet Processes”
Diogo Ferrari

Missing Data

“Leveraging Auxiliary Information on Marginal Distributions in Nonignorable Models for Item and Unit Nonresponse in Surveys”
Olanrewaju Akande, Gabriel Madson, D. Sunshine Hillygus, and Jerome P. Reiter

“Who Are the Perpetrators? Revealing Hidden Faces Behind Terrorist Attacks”
Roya Talibova

“Deep Multiple Imputation: Using Mixture Density Networks to Impute Missing Values”
Marcel Neunhoeffer

Machine Learning

“Not all noise is created equal: diagnostics and solutions for poor intercoder reliability”
Adam Berinsky, James Dunham, and Tesalia Rizzo

“What Happened? Using Supervised Machine Learning to Understand the 2016 Presidential Election”
Seo-young Silvia Kim, R. Michael Alvarez, and Christina M. Ramirez

“Predicting Economic Evaluations with Regression Trees”
Jan Zilinsky

“Pixels as Data: ConvNets for Automated Image Analysis”
Alejandro Pineda

Text Analysis: Applications

“Automated Image Taggers from Amazon, Google, and Microsoft: Are They Useful for Social Science Research?”
Nora Webb Williams

“Strategic failure? The impact of failed immigration legislation on successful immigration legislation using text reuse analysis”
Amanda Sahar Jadid d'Urso

“Estimating opinion on gun control using a Twitter panel”
Nicholas Adams-Cohen

“Agenda-setting in the digital age: The relationship between the media and public on Twitter”
Andreea Musulan and Ludovic Rheault

“The Implications of Facebook vs MTurk Samples for Studying Digital Media Effects”
Kevin Munger, Mario Luca, Jonathan Nagler, and Joshua Tucker

“Moving from German National Politics to State Parliaments via a Supervised Learning Algorithm”
Alena GerickeChristian Rothenbach, and Evgeny Sedashov

“How Public Opinion Shapes Policy Outcomes in China --The Policy Feeler Mechanism”
Tongtong Zhang

“CASM: A Deep-Learning Approach for Identifying Collective Action Events with Text and Image Data from Social Media”
Han Zhang and Jennifer Pan

“Are Discussions on Politics Allowed on Chinese Social Media?”
Yimeng Li

“How Changing Frame Sets Alters Legislative Outcomes in Congress”
Kelsey Shoub

“Studying Everyday Lawmaking in the United States: A Text-as-Network Approach”
Robert Shaffer

“Understanding European Far-right Parties with Multilingual, Dynamic Topic Models”
Mitchell Goist

“Estimating the distribution of state power at the UN using topic models”
Leslie Huang

“The Nationalization of US Governors: Evidence from Twitter”
Megan Goldberg

Time Series Analysis

“What explains when and why allies send military support signals to one another?”
Casey Mahoney

“Who Pays? The Effect of Inequality on the Composition of Government Revenues”
Janica Magat

“Modeling the Effect of Size of Pie on Dynamic Compositional Dependent Variables”
Janica D. Magat, Flávio D. S. Souza, and Guy D. Whitten

“Bayesian Mixed-Frequency Vector Autoregressions with the Application to China-Japan Relations and Bilateral Trade”
Pongsakorn Peter Suwanpong

“Robustness Testing Robust to Overfitting for Time Series Analysis”
Taeyong Park (Faculty)

“What Goes Up Must Come Down: Modeling Non-Linear Dynamics”
Hannah Paul and Andrew Q. Philips

Record Linkage

“The Subprime Mortgage Crisis and the Tea Party Movement”
Zhao Li

“Estimating the impact of the Great Depression on party identification”
Bradley Spahn

“An active learning model of record linkage”
Ted Enamorado

Statistical/Structural Models

“Institutional Constraints on Coalition Formation”
Evgeny Sedashov, Andrei Zhirnov, and Mert Moral

“Model performance in panel data with sample selection bias and unobserved heterogeneity”
Sebastián Vallejo

“From Reliability to Validity: Considering Latent Dimensions in Text-as-Data”
Erin Cikanek

“Performative Partisanship? Investigating the Partisan Gender Gap in the Transgender Community”
Meyer Levy, Sid Simpson, and Hannah Wilson

“Learning to be Unbiased: Evidence from the French Asylum Office”
Mathilde Emeriau