Preliminary Program
Final program for paper presentations.
Tuesday, July 14
Panel I
12PM to 1:30PM Eastern Time (9AM to 10:30AM Pacific Time)
Virtual Room 1: Spatial Analysis
| Naoki Egami (Columbia University) Discussant: Yiqing Xu |
Causal Inference for Policy Diffusion |
| Bruce Desmarais (Penn State) Co-authors: Jeffrey J. Harden, Mark Brockway, Frederick J. Boehmke, Scott LaCombe, Hanna Wallach Discussant: Shahryar Minhas |
Network Event History Analysis for Modeling Public Policy Adoption with Latent Diffusion Networks |
Virtual Room 2: Experimental Designs
| Libby Jenke (University of Houston) Co-authors: Kirk Bansak, Jens Hainmueller, Dominik Hangartner Discussant: Anton Strezhnev |
Using Eye-Tracking to Understand Decision-Making in Conjoint Experiments |
| Yamil Velez (Columbia University) Co-authors: Jason Barabas, John Kane Discussant: Erin Hartman |
Analyze the Attentive and Bypass Bias: Using Mock Vignettes in Survey Experiments |
Virtual Room 3: Sample Selection
| Teppei Yamamoto (MIT) Co-authors: Shiyao (Sean) Liu Discussant: Jennifer Bussell |
How Much Should You Trust Your Power Calculation Results? Power Analysis as an Estimation Problem |
| Jane Sumner (University of Minnesota) Co-authors: Josef Woldense, AshLee Smith Discussant: Clayton Webb |
How You Ask Matters: Wordsmithing to encourage participation in elite interviews |
Virtual Room 4: Text-as-Data
| Zhanna Terechshenko (New York University) Co-authors: Fridolin Linder, Vishakh Padmakumar, Fengyuan Liu, Jonathan Nagler, Joshua A. Tucker, Richard Bonneau Discussant: Leah Windsor |
A comparison of methods in political science text classification: Transfer learning language models for politics |
| Brandon Stewart (Princeton University) Co-authors: Pedro Rodriguez, Arthur Spirling Discussant: Max Goplerud |
Embedding Regression: Models for Context-Specific Description and Inference in Social Science |
Poster Session I
2:30PM to 4:30PM Eastern Time (11:30AM to 1:30PM Pacific Time)
Plenary Session: Special Panel on Methods for the Study of Race and Ethnicity
4:30PM to 5:30PM Eastern Time (1:30PM to 2:30PM Pacific Time)
Measuring Race and Ethnicity with Applications to Discrimination
Speaker: Marisa A. Abrajano (UCSD)
Measuring Racial Diversity in U.S. Institutions
Speaker: Allison P. Harris (Yale University)
Wednesday, July 15
Panel II
12PM to 1:30PM Eastern Time (9AM to 10:30AM Pacific Time)
Virtual Room 1: Data Access
| Georgina Evans (Harvard University) Co-authors: Gary King, Margaret Schwenzfeier, Abhradeep Thakurta Discussant: James Honaker |
Statistically Valid Inferences from Privacy Protected Data |
| Zach Warner (Cardiff University) Co-authors: Christian Arnold, J. Andrew Harris Discussant: Walter Mebane |
Hidden in plain sight: detecting electoral fraud using statutory results |
Virtual Room 2: Causal Inference
| Justin Esarey (Wake Forest University) Co-authors: Scott DeMarchi, Joseph K. Young Discussant: Luke Keele |
Casual Inference, or How I Learned to Stop Worrying and Love Hypothesis Testing |
| Eli Ben-Michael (UC Berkeley) Co-authors: Avi Feller, Jesse Rothstein Discussant: Chad Hazlett |
Approximate balancing weights for subgroup treatment effects: Assessing the differential impact of letters of recommendation in college admissions decisions |
Virtual Room 3: Panel and Spatial Analysis
| Xun Pang (Tsinghua University) Co-authors: Licheng Liu, Chong Chen Discussant: Matthew Blackwell |
A Bayesian Method for Identifying and Explaining Dynamic Network Influence With TSCS Data |
| Sangyeon Kim (Penn State) Co-authors: Howard Liu, Sangyeon Kim, Bruce Desmarais Discussant: Scott J. Cook |
Predicting Dyadic and Geopolitical Interaction Between Spatially Moving Objects |
Virtual Room 4: Applications
| Aaron Kaufman (NYU Abu Dhabi) Co-authors: Sahar Abi-Hassan, Janet M. Box-Steffensmeier, Dino P. Christenson, Aaron R. Kaufman, Brian Libgober Discussant: In Song Kim |
The Political Ideologies of Organized Interests: Large-Scale, Social Network Estimation of Interest Group Ideal Points |
| Betsy Sinclair (WUSTL) Co-authors: Steven Webster, Sanmay Das, Hao Yan Discussant: Jonathan Nagler |
All (Mayoral) Politics is Local? |
Poster Session II
2:30PM to 4:30PM Eastern Time (11:30AM to 1:30PM Pacific Time)
Business Meeting
4:30PM to 5:30PM Eastern Time (1:30PM to 2:30PM Pacific Time)
Thursday, July 16
Panel III
12PM to 1:30PM Eastern Time (9AM to 10:30AM Pacific Time)
Virtual Room 1: Machine Learning
| Kosuke Imai (Harvard University) Co-authors: Zhichao Jiang, James Greiner, Ryan Halen, Sooahn Shin Discussant: Jonathan Mummolo |
Experimental Evaluation of Computer-Assisted Human Decision Making: Application to Pretrial Risk Assessment Instrument |
| Marc Ratkovic (Princeton University) Co-authors: Zenobia Chan Discussant: Santiago Olivella |
Towards A More Transparent Machine Learning |
Virtual Room 2: Panel and Spatial Analysis
| Håvard Mokleiv Nygård (Peace Research Institute Oslo) Co-authors: Gudmund Horn Hermansen, Jonathan Williams Discussant: Bruce Desmarais |
A Bayesian hidden Markov model for the intensity of violence in internal armed conflicts
(CANCELLED) |
| Scott Abramson (University of Rochester) Co-authors: Brandon Cooley, Bethany Lacina Discussant: Florian Hollenbach |
How Wide is the Ethnic Border? |
Virtual Room 3: Experimental Designs
| Erin Hartman (UCLA) Co-authors: Naoki Egami Discussant: Daniel Hopkins |
Elements of External Validity: Framework, Design, and Analysis |
| Parrish Bergquist (Yale University)
Discussant: Stephanie Nail |
Introducing a Continuous Climate Change Concern Scale for the Use in Experimental Research |
Virtual Room 4: Text and Image Data
| Douglas Rice (University of Massachusetts Amherst) Co-authors: Justin Gross Discussant: Brandon Stewart |
Untangling Mixtures in Judicial Opinions |
| Zachary Steinert-Threlkeld (UCLA) Co-authors: Jungseock Joo Discussant: Michelle Torres |
Protest Event Data from Images |
Panel IV
2.30PM to 4:00PM Eastern Time (11:30AM to 1PM Pacific Time)
Virtual Room 1: Hierarchical Data
| Max Goplerud (Harvard University)
Discussant: Michelle Torres |
Marginally Augmented Variational Bayes for Non-Linear Hierarchical Models |
Virtual Room 2: Causal Inference
| Jason Poulos (Duke University) Co-authors: Andrea Albanese, Fan Li, Andrea Mercatanti Discussant: James Bisbee |
Retrospective causal inference via elapsed time-weighted matrix completion, with an evaluation on the effect of the Schengen Area on the labour market of border regions |
| Luke Keele (University of Pennsylvania) Co-authors: Raiden Hasegawa, Dylan Small, Ting Ye Discussant: Fredrik Sävje |
A Bracketing Method for Difference-in-Differences Based on Monotone Trends |
Virtual Room 3: Panel Data
| Yiqing Xu (Stanford University) Co-authors: Xun Pang, Licheng Liu Discussant: Neal Beck |
Bayesian Causal Inference With Time-Series Cross-Sectional Data: A Dynamic Multilevel Latent Factor Model with Hierarchical Shrinkage |
| Yuki Shiraito (University of Michigan) Co-authors: Nuannuan Xiang Discussant: Mark Pickup |
The Intergenerational Chinese Restaurant Processes for Gradual Structural Changes |
Virtual Room 4: Instrumental Variables
| Chad Hazlett (UCLA) Co-authors: Carlos Cinelli Discussant: Jacob Montgomery |
An omitted variable bias framework for sensitivity analysis of instrumental variables |
| Matthew Blackwell (Harvard University) Co-authors: Nicole Pashley Discussant: Teppei Yamamoto |
Noncompliance and instrumental variables for 2^K factorial experiments |
Friday, July 17
Panel V
12PM to 1:30PM Eastern Time (9AM to 10:30AM Pacific Time)
Virtual Room 1: Covariate Balancing
| Fredrik Savje (Yale University) Co-authors: Christopher Harshaw, Daniel Spielman, Peng Zhang Discussant: Marc Ratkovic |
Balancing covariates in randomized experiments using the Gram--Schmidt Walk |
| Erin Hartman (UCLA) Co-authors: Chad Hazlett, Ciara Sterbenz Discussant: Luke W. Miratrix |
Kpop: A kernel balancing approach for reducing specification assumptions in survey weighting |
Virtual Room 2: Conjoint Designs (Extended Panel to 2:15pm ET)
| Katherine Clayton (Stanford University) Co-authors: Yusaku Horiuchi, Aaron Kaufman, Gary King, Mayya Komisarchik Discussant: Naoki Egami |
Avoiding Measurement Error Bias in Conjoint Analysis |
| Anton Strezhnev (New York University) Co-authors: Scott Abramson, Korhan Kocak, Asya Magazinnik Discussant: Jasjeet Sekhon |
Improving Preference Elicitation in Conjoint Designs using Machine Learning for Heterogeneous Effects |
| Daniel Hopkins (University of Pennsylvania) Co-authors: Kirk Bansak, Jens Hainmueller, Teppei Yamamoto Discussant: Kosuke Imai |
What Conjoint Experiments Can and Cannot Say about Voter Preferences |
Virtual Room 3: Text-as-Data & Item Response Theory
| Sarah Dreier (University of Washington) Co-authors: Emily Gade, Jose Hernandez, Noah A. Smith, Sofia Serrano Discussant: Arthur Spirling |
Troubles in/with Text: Combining qualitative and NLP approaches to analyzing government archives from the UK Troubles in Northern Ireland |
| Jacob Montgomery (WUSTL) Co-authors: J. Brandon Duck-Mayr and Roman Garnett Discussant: Yuki Shiraito |
GPIRT: A Gaussian Process Model for Item Response Theory |
Corporate Panel: Non-Academic Careers
2:30PM to 4:00PM Eastern Time (11:30AM to 1PM Pacific Time)
| Drew Linzer (Civiqs) |
| Gabriella Sacramone-Lutz (Facebook) |
| Susanna Supalla (Alloy) |
| Laila Wahedi (Facebook) |