More on the Political Methodology section

Career Achievement Award
Emerging Scholar Award
Harold F. Gosnell Prize
John T. Williams Dissertation Prize
Society for Political Methodology Poster Award
Latin American Political Methodology Meeting Poster Award
Asian Political Methodology Meeting Best Poster Award
Statistical Software Award
Warren Miller Article Award
Outstanding Reviewer Award
Excellence in Mentoring Award
Janet M. Box-Steffensmeier & John A. Garcia ICPSR Scholarships
Advanced Empirical Research on Politics for Undergraduates Program (AERoPUP)

Career Achievement Award

The Career Achievement Award honors an outstanding career of intellectual accomplishment and service to the profession in the Political Metholdology field.

2021	Larry Bartels, Vanderbilt University
2020	Howard Rosenthal, New York University
2019	Philip Schrodt, Pennsylvania State University
2018	Michael D. Ward, Duke University
2017	Robert Erikson, Columbia University
2016	Keith T. Poole, University of Georgia
2015	Douglas Rivers, Stanford University
2014	John Freeman, University of Minnesota
2013	Janet Box-Steffensmeier, Ohio State University
2012	Henry Brady, University of California, Berkeley
2010	Gary King, Harvard University
2009	James Stimson, University of North Carolina, Chapel Hill

Emerging Scholar Award

The Emerging Scholar Award honors a young researcher, within ten years of their degree, who is making notable contributions to the field of Political Methodology.

2021	Molly Roberts, University of California, San Diego
2020	Jacob Montgomery, Washington University, St Louis
2019	Teppei Yamamoto, Massachusetts Institute of Technology
2018	Arthur Spirling, New York University
2017	Betsy Sinclair, Washington University in St. Louis
2016	Rocio Titiunik, University of Michigan, Ann Arbor
2015	Justin Grimmer, Stanford University
2014	Jens Hainmueller, Stanford University
2013	Luke Keele, Pennsylvania State University
2012	Jacob Bowers, University of Illinois at Urbana-Champaign
2011	Kosuke Imai, Princeton University

Harold F. Gosnell Prize

The Harold Gosnell Prize recognizes the best work of Political Methodology presented at a political science conference in the previous year.

2021	Avidit Acharya, Stanford University “Combining Outcome-Based and Preference-Based Matching: A Constrained Priority Mechanism.”
2021	Kirk Bansak, University of California, San Diego “Combining Outcome-Based and Preference-Based Matching: A Constrained Priority Mechanism.”
2021	Jens Hainmueller, Stanford University “Combining Outcome-Based and Preference-Based Matching: A Constrained Priority Mechanism.”
2020	Dean Knox, Princeton University “A Dynamic Model of Speech for the Social Sciences.” Knox, Dean and Lucas, Christopher, A Dynamic Model of Speech for the Social Sciences (November 22, 2019).
2020	Christopher Lucas, Washington University, St Louis “A Dynamic Model of Speech for the Social Sciences.” Knox, Dean and Lucas, Christopher, A Dynamic Model of Speech for the Social Sciences (November 22, 2019).
2019	Naijia Liu, Princeton University “Identification of Causal Diffusion Effects using Stationary Causal Directed Acyclic Graphs.”
2018	Fredrik Savje, Yale University “A Folk Theorem on Interface in Experiments.”
2018	Peter Aronow, Yale University “A Folk Theorem on Interface in Experiments.”
2018	Michael Hudgens, University of North Carolina at Chapel Hill “A Folk Theorem on Interface in Experiments.”
2017	Matthew Blackwell, Harvard University “Instrumental Variable Methods for Conditional Effects and Casual Interaction in Voter Mobilization Experiments.”
2016	Marc Ratkovic, Princeton University “Sparse Estimation with Uncertainty: Subgroup Analysis in Large Dimensional Designs.”
2016	Dustin Tingley, Harvard University “Sparse Estimation with Uncertainty: Subgroup Analysis in Large Dimensional Designs.”
2015	Rocio Titiunik, University of Michigan “Robust Nonparametric Confidence Intervals for Regression-Discontinuity Designs”
2015	Matias Cattaneo, University of Michigan “Robust Nonparametric Confidence Intervals for Regression-Discontinuity Designs”
2015	Sebastian Calonico, University of Miami “Robust Nonparametric Confidence Intervals for Regression-Discontinuity Designs”
2014	Margaret Roberts, University of California, San Diego “Topic Models for Open-Ended Survey Responses with Applications to Experiments.”
2014	Brandon Stewart, Harvard University “Topic Models for Open-Ended Survey Responses with Applications to Experiments.”
2014	Dustin Tingley, Harvard University “Topic Models for Open-Ended Survey Responses with Applications to Experiments.”
2014	Christopher Lucas, Harvard University “Topic Models for Open-Ended Survey Responses with Applications to Experiments.”
2014	Shana Gadarian, Syracuse University “Topic Models for Open-Ended Survey Responses with Applications to Experiments.”
2014	Bethany Albertson, University of Texas at Austin “Topic Models for Open-Ended Survey Responses with Applications to Experiments.”
2014	Jetson Leder-Luis, California Institute of Technology “Topic Models for Open-Ended Survey Responses with Applications to Experiments.”
2014	David Rand, Yale University “Topic Models for Open-Ended Survey Responses with Applications to Experiments.”
2013	Adam Glynn, Harvard University Front door Versus Back door Adjustment with Unmeasured Confounding: Bias Formulas for Front door and Hybrid Adjustments
2013	Konstantin Kashin, Harvard University Front door Versus Back door Adjustment with Unmeasured Confounding: Bias Formulas for Front door and Hybrid Adjustments
2012	Thomas Gschwend, Universität Mannheim A Common Left-Right Scale for Voters and Parties in Europe
2012	James Lo, University of Mannheim A Common Left-Right Scale for Voters and Parties in Europe
2012	Sven-Oliver Proksch, University of Mannheim A Common Left-Right Scale for Voters and Parties in Europe
2011	Robert Franzese Jr., University of Michigan Ann Arbor “Modeling History-Dependent Network Convolution”
2011	Jude Hays “Modeling History-Dependent Network Convolution”
2011	Aya Kachi, University of Illinois, Urbana Champaign “Modeling History-Dependent Network Convolution”
2010	Jong Hee Park, University of Chicago
2009	John Freeman, University of Minnesota, Twin Cities Dynamic Elicited Priors for Updating Covert Networks
2009	Jeff Gill, Washington University, St Louis Dynamic Elicited Priors fro Updating Covert Networks
2007	Alberto Abadie, Harvard University Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program
2007	Alexis Diamond, Harvard University Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program
2007	Jens Hainmueller, Harvard University Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program
2006	Kevin Quinn, Harvard University “An Automated Method of Topic-Coding Legislative Speech Over Time With Application to the 105th-108th U.S. Senate”
2006	Burt Monroe, Michigan State University “An Automated Method of Topic-Coding Legislative Speech Over Time With Application to the 105th-108th U.S. Senate”
2006	Michael Colaresi, Michigan State University “An Automated Method of Topic-Coding Legislative Speech Over Time With Application to the 105th-108th U.S. Senate”
2006	Michael Crespin, University of Georgia “An Automated Method of Topic-Coding Legislative Speech Over Time With Application to the 105th-108th U.S. Senate”
2006	Dragomir Radev, University of Michigan, Ann Arbor “An Automated Method of Topic-Coding Legislative Speech Over Time With Application to the 105th-108th U.S. Senate”
2005	Alexis Diamond, Harvard University Genetic Matching for Estimating Causal Effects: A General Multivariate Matching Method for Achieving Balance in Observational Studies
2005	Jasjeet Sekhon, UC Berkeley Genetic Matching for Estimating Causal Effects: A General Multivariate Matching Method for Achieving Balance in Observational Studies
2004	Henry Brady, University of California, Berkeley “A ‘Natural Experiment’ on the Costs of Voting: Methodologies for Analyzing Data when the Treatment is Nearly Randomized”
2004	John McNulty, University of California, Berkeley “A ‘Natural Experiment’ on the Costs of Voting: Methodologies for Analyzing Data when the Treatment is Nearly Randomized”
2003	Won-Ho Park, University of Michigan-Ann Arbor “Estimation of Voter Transition Rates and Ecological Inference”
2002	Janet Box-Steffensmeier, Ohio State University
1999	Nathaniel Beck, University of California-San Diego “Improving Quantitative Studies of International Conflict: A Conjecture”
1999	Gary King, Harvard University “Improving Quantitative Studies of International Conflict: A Conjecture”
1999	Langche Zeng, Harvard University “Improving Quantitative Studies of International Conflict: A Conjecture”
1998	Dean Lacy, Ohio State University “A Theory of Nonseparable Preferences in Survey Responses”
1997	Gary King, Harvard University “A Solution to the Ecological Inference Problem: Reconstructing Individual Behavior From Aggregate Data”
1996	Nathaniel Beck, University of California-San Diego “Conflicts in Time and Space”
1996	Richard Tucker, Indiana University-Bloomington “Conflicts in Time and Space”
1996	Walter Mebane Jr., Cornell University “Markov Chain Models for Rolling Cross-Section Data”
1996	Jonathan Wand, Cornell University “Markov Chain Models for Rolling Cross-Section Data”
1995	Bradley Palmquist, Harvard University “Respecification Approaches to Ecological Inference: A Comparison of Control Variables and the Quadratic Model”
1995	Janet Box-Steffensmeier, Ohio State University “The Microfoundations of Aggregate Partisanship: A Fractional Integration Analysis of Heterogeneity and Permanence”
1995	Renee Smith, University of Rochester “The Microfoundations of Aggregate Partisanship: A Fractional Integration Analysis of Heterogeneity and Permanence”

John T. Williams Dissertation Prize

In recognition of the John T. Williams’ contribution to graduate training, the John T. Williams Award has been established for the best dissertation proposal in the area of political methodology. Proposals using quantitative or qualitative methods are welcomed. Proposals should follow National Science Foundation format guidelines.

2020	Ye Wang, New York University “Three Essays on Causal Inference under Interference and Hypothesis Testing in Random Experiments”
2019	Naijia Liu, Princeton University “Essays on Model Selection and Honest Inference.”
2018	Kevin McAlister, University of Michigan “Roll Call Scaling in the U.S. Congress: Addressing the Deficiencies.”
2017	Naoki Egami, Princeton University
2016	Dean Knox, Massachusetts Institute of Technology “Essays on Modeling and Causal Inference in Network Data.”
2015	Drew Dimmery, New York University “Essays on Machine Learning and Causal Inference with Applications to Nonprofits”
2014	Yiqing Xu, Massachusetts Institute of Technology “Casual Inference with Time-Series Cross-Section Data with Applications to Chinese Political Economy.”
2013	Scott Cook, University of Pittsburgh “The Contagion of Crises: Estimating Models of Endogenous and Interdependent Rare Events”
2012	Adriana Crespo-Tenorio, Washington University in St Louis Three Papers on the Political Consequences of Oil Price Volatility (completed at Washington University, advised by
2011	Matthew Blackwell, Harvard University “Essays in Political Methodology and American Politics”
2010	Teppei Yamamoto, Princeton University
2009	Xun Pang, Washington University, St Louis A Bayesian Probit Hierarchical Model with AR9p) Errors and Non-nested Clustering: Studying Sovereign Creditworthiness and Political Institutions
2006	Roman Ivanchenko, Ohio State University “Interactions Between the Supreme Court and Congress: A Different Look at the Decision-Making Process”

Society for Political Methodology Poster Award

The Society for Political Methodology Poster Award recognizes the best political methodology poster given at any political science conference in the preceeding year.

2021	Methods Category Melody Huang, University of California, Los Angeles “Leveraging Observational Outcomes To Improve the Generalization Of Experimental Results.” Methods Category Nuannuan Xiang, University of Michigan A Gaussian Process Model for Causal Inference with TSCS Data.” Applications Category Erin Rossiter, Washington University in St. Louis “The Consequences of Interparty Conversation on Outparty Affect and Stereotypes.” Applications Category Luwei Ying, Washington University, St. Louis “Religiosity and Secularism: A Text-as-Data Approach to Recover Jihadist Groups’ Rhetorical Strategies.” Faculty Category Jay Goodliffe, Brigham Young University “Using Latent Transition Analysis to Explain Donor Behavior.”
2020	Student Poster, Methods Category Shiyao Liu, M.I.T.  “Informing Complier Average Treatment Effects with Post-Treatment Variables” Student Poster, Applications Category Luke Sandford, University of California, San Diego “Remote Sensing and Synthetic Controls: Measuring the Effects of Land Titling on Agricultural Productivity” Faculty Poster David Poules, University of Chicago  “A Graph-Theoretic Approach to Causal Inference under Interference”
2019	Erin Hartman, University of California, Los Angeles Faculty Category: “Equivalence Based Falsification Tests for Regression Discontinuity Designs.”
2019	Kelsey Shoub, The University of North Carolina at Chapel Hill Student Applications Category: “How Changing Frame Sets Alters Legislative Outcomes in Congress.”
2019	Erin Rossiter, Washington University in St. Louis Student Methods Category: “Measuring Visual Messages: Political Violence and Computer Vision.”
2018	Michelle Torres, Washington University in St. Louis “Measuring Visual Messages: Political Violence and Computer Vision.”
2018	John Jackson, University of Michigan “Correct Standard Errors with Clustered Data.”
2017	Dana Higgins, Harvard University “Disaggregating Data Using Multiple Imputation: Battle Related Deaths.”
2016	Yuki Shirito, Princeton University “Topical N-Gram Citation Model.”
2016	Anton Strezhnev, Harvard University “A New Method for Estimating Treatment Effects under `Truncation-by-Death’”
2015	Dean Knox, Massachusetts Institute of Technology “Identifying Peer Effects under Homophily with an Instrumental Variable: Patronage and Promotions in the Chinese Bureaucracy”
2015	Honorable Mention Dorothy Kronick, Stanford University “Ecological Inference with Vote-Share Data”
2014	Felipe Nunes, University of California, Los Angeles “A Bayesian Two-part Latent Class Model for Longitudinal Government Expenditure Data: Assessing the Impact of Vertical Political Alliances and Vote Support.”
2014	Honorable Mention Peter Foley, California Institute of Technology “Introducing Salience to a Spatial Model of Voter Ideology.”
2013	Scott Abramson, Princeton University Production, Predation and the European State 1152-1789

Latin American Political Methodology Meeting Best Poster Award

2019	Sofia B. Vera, University of Pittsburgh “Electoral Accountability in Highly Unstable Party Systems: Experimental Evidence from Latin America.”

Latin American Political Methodology Meeting Best Poster Award

2019	Soichiro Yamauchi, Harvard University“Bias-Corrected Estimator for Difference-in-Differences Design.” Naijia Liu, Princeton University “Honest Inference on Missing Data.”

Statistical Software Award

The Statistical Software Award recognizing statistical software that has made a significant contribution to the advancement of political analysis.

2021	Ted Enamorado, Washington University in St Louis fastlink
2021	Kosuke Imai, Harvard University fastlink
2021	Ben Fifield, ACLU Legal Analytics Group fastlink
2020	Kenneth Benoit, London School of Economics and Political Science quanteda: An R package for the quantitative analysis of textual data
2020	Kohei Watanabe, University of Innsbruck quanteda: An R package for the quantitative analysis of textual data
2020	Haiyan Wang, DeBeers quanteda: An R package for the quantitative analysis of textual data
2020	Paul Nulty, University College Dublin quanteda: An R package for the quantitative analysis of textual data
2020	Adam Obeng, Facebook quanteda: An R package for the quantitative analysis of textual data
2020	Stefan Müller, University College Dublin quanteda: An R package for the quantitative analysis of textual data
2020	Akitaka Matsuo, University of Essex quanteda: An R package for the quantitative analysis of textual data
2019	Graeme Blair, University of California, Los Angeles DeclareDesign
2019	Jasper Cooper, Princeton University DeclareDesign
2019	Alexander Coppock, Yale University DeclareDesign
2019	Macartan Humphreys, Columbia University and WZB Berlin DeclareDesign
2019	Clara Bicalho, WZB Berlin Social Science Center DeclareDesign
2019	Neal Fultz, Comake DeclareDesign
2019	Lily Medina, WZB Berlin Social Science Center DeclareDesign
2019	Aaron Rudkin, University of California, Los Angeles DeclareDesign
2019	Luke Sonnet, University of California, Los Angeles DeclareDesign
2018	Molly Roberts, University of California, San Diego stm: An R package for Structurak Topic Models
2018	Brandon Stewart, Princeton University stm: An R package for Structurak Topic Models
2018	Dustin Tingley, Harvard University stm: An R package for Structurak Topic Models
2017	Rocio Titunik, University of Michigan For the rdrobust, rdlocrand, rddensity, rdpower statistical packages, http://sites.google.com/site/rdpackages/
2017	Gonzalo Vazquez-Bare, University of Michigan  For the rdrobust, rdlocrand, rddensity, rdpower statistical packages,  http://sites.google.com/site/rdpackages/
2017	Sebastian Calonico, University of Miami For the rdrobust, rdlocrand, rddensity, rdpower statistical packages,  http://sites.google.com/site/rdpackages/
2017	Matias D. Cattaneo, University of Michigan For the rdrobust, rdlocrand, rddensity, rdpower statistical packages,  http://sites.google.com/site/rdpackages/
2017	Max H. Farrell, University of Chicago For the rdrobust, rdlocrand, rddensity, rdpower statistical packages,  http://sites.google.com/site/rdpackages/
2017	Michael Jansson, University of California, Berkeley For the rdrobust, rdlocrand, rddensity, rdpower statistical packages,  http://sites.google.com/site/rdpackages/
2017	Xinwei Ma, University of Michigan For the rdrobust, rdlocrand, rddensity, rdpower statistical packages,  http://sites.google.com/site/rdpackages/
2016	Jirka Lewandowski, Wissenschaftszentrum Berlin für Sozialforschung manifestoR: Access and Process Data and Documents of the Manifesto Project
2016	Nicolas Merz, Wissenschaftszentrum Berlin für Sozialforschung manifestoR: Access and Process Data and Documents of the Manifesto Project
2016	Sven Regel, Wissenschaftszentrum Berlin für Sozialforschung manifestoR: Access and Process Data and Documents of the Manifesto Project
2016	Pola Lehmann, Wissenschaftszentrum Berlin für Sozialforschung manifestoR: Access and Process Data and Documents of the Manifesto Project
2015	Dustin Tingley, Harvard University mediation (R package)
2015	Teppei Yamamoto, Massachusetts Institute of Technology mediation (R package)
2015	Kentaro Hirose, Princeton University mediation (R package)
2015	Luke Keele, Pennsylvania State University mediation (R package)
2015	Kosuke Imai, Princeton University mediation (R package)
2014	James Honaker, Harvard University Amelia II
2014	Gary King, Harvard University Amelia II
2014	Matthew Blackwell, Harvard University Amelia II
2013	Andrew Martin, Washington University, St Louis MCMCpack
2013	Kevin Quinn, University of California, Berkeley MCMCpack
2013	Jong Hee Park, Seoul National University MCMCpack
2012	Walter Mebane Jr., University of Michigan, Ann Arbor genoud: Genetic Optimization using Derivatives
2012	Jasjeet Sekhon, University of California, Berkeley genoud: Genetic Optimization using Derivatives
2011	Norman Nie, Stanford University Statistical Package for the Social Sciences
2011	Dale Bent Statistical Package for the Social Sciences
2010	Jeffrey Dubin, University of California, Los Angeles
2010	Douglas Rivers, Stanford University
2009	Keith Poole, University of California, San Diego “Nominate”
2009	Howard Rosenthal, New York University “Nominate”

Warren Miller Article Award

The Warren Miller Article Award is given for the best article in Political Analysis.

2021	Reagan Mozer, Bentley University “Matching with Text Data: An Experimental Evaluation of Methods for Matching Documents and of Measuring Match Quality.” Political Analysis, 28(4): 445-468.
2021	Luke Miratrix, Harvard University “Matching with Text Data: An Experimental Evaluation of Methods for Matching Documents and of Measuring Match Quality.” Political Analysis, 28(4): 445-468.
2021	Aaron Russell Kaufman, New York University “Matching with Text Data: An Experimental Evaluation of Methods for Matching Documents and of Measuring Match Quality.” Political Analysis, 28(4): 445-468.
2021	L. Jason Anastasopoulos, University of Georgia “Matching with Text Data: An Experimental Evaluation of Methods for Matching Documents and of Measuring Match Quality.” Political Analysis, 28(4): 445-468.
2020	Jens Hainmueller, Stanford University How Much Should We Trust Estimates from Multiplicative Interaction Models: Simple Tools to Improve Empirical Practice.” Political Analysis 27(2), 163-192.
2020	Jonathan Mummolo, Princeton University How Much Should We Trust Estimates from Multiplicative Interaction Models: Simple Tools to Improve Empirical Practice.” Political Analysis 27(2), 163-192.
2020	Yiqing Xu, Stanford University How Much Should We Trust Estimates from Multiplicative Interaction Models: Simple Tools to Improve Empirical Practice.” Political Analysis 27(2), 163-192.
2019	Luke W. Miratrix, Harvard University “Worth Weighting? How to Think About and Use Weights in Survey Experiments.” Political Analysis 26(3): 275-291.
2019	Jasjeet S. Sekhon, University of California, Berkeley “Worth Weighting? How to Think About and Use Weights in Survey Experiments.” Political Analysis 26(3): 275-291.
2019	Alexander G. Theodoridis, University of California, Merced “Worth Weighting? How to Think About and Use Weights in Survey Experiments.” Political Analysis 26(3): 275-291.
2019	Luis F. Campos, Harvard University “Worth Weighting? How to Think About and Use Weights in Survey Experiments.” Political Analysis 26(3): 275-291.
2018	Yiqing Xu, University of California, San Diego “Generalized Synthetic Control Method: Casual Inference with Interactive Fixed Effect Models.” Political Analysis 25(1).

Award Name Not Specified

2012	Brenton Kenkel, University of Rochester Bounds for Logistic Regression Coefficients with Nonignorable Missing Outcomes
2011	F. Daniel Hidalgo, University of California, Berkely “Digital Democracy: The Consequences of Electronic Voting Technology in Brazil”
2010	R. Alvarez, California Institute of Technology
2010	John Brehm, University of Chicago
2009	Xun Pang, Washington University, St Louis Binary and Ordinal Time Series with AR9p) Errors: Bayesian Model Determination for Latent High-Order Markovian Processes
2007	Christopher Achen, Princeton University
2006	Betsy Sinclair, California Institute of Technology “Is It Better to Be First or Last? The Ballot Order Effect”
2006	Michael Kellermann, Harvard University “Bayesian Estimation of Ideal Points in the British House of Commons Using Early Day Motions”
2005	Michael Kellermann, Harvard University “Bayesian estimation of ideal points in the British House of Commons using Early Day Motions”
2005	Betsy Sinclair, CalTech “Is It Better to Be First or Last? The Ballot Order Effect”

Outstanding Reviewer Award

The Political Analysis Outstanding Reviewer Award recognizes individuals who have provided exemplary assistance to Political Analysis during the previous year. Outstanding Reviewers are those who provide excellent, timely and productive feedback for authors who have submitted manuscripts to Political Analysis. Outstanding Reviewers are also those who frequently review for the journal, and who provide the editors with productive advice about the submissions they review.

2021	Melissa Rogers, Claremont Graduate University
2020	John Holbein, University of Virginia
2019	Natalie Jackson, Public Religion Research Institute
2019	Jay Goodliffe, Brigham Young University
2015	Dorothy Kronick, Stanford University
2015	Matthew Lebo, Stony Brook University

Excellence in Mentoring Award

The Society for Political Methodology Excellence in Mentoring Award honors members of the Society for Political Methodology who have demonstrated an outstanding commitment to mentoring and advising graduate and/or undergraduate students-particularly those from underrepresented groups.

2021	Kosuke Imai, Harvard University
2021	Rebecca Morton, New York University
2020	Fred Boehmke, University of Iowa
2020	Matthew Lebo, University of Western Ontario
2019	Gary King, Harvard University
2018	Thomas Casey, University of North Carolina at Chapel Hill
2017	R. Michael Alvarez, California Institute of Technology
2016	Janet Box-Steffensmeier, Ohio State University
2015	Lonna Atkeson, University of New Mexico
2015	Jonathan Kropko, University of Virginia

Janet M. Box-Steffensmeier & John A.Garcia ICPSR Scholarships

Janet Box-Steffensmeier and John A. Garcia Scholarships are awarded by the Society for Political Methodology to encourage women and underrepresented graduate students in political science to attend the ICPSR Summer Program.

2021	Michelle Irving, Rutgers University Melina Much, University of California, Irvine Ashley Sorensen, University of Minnesota Marcus Vinícius De Sá Torres, Universidade Federal de Pernambuco Linh Phan, University of California, Davis Yu-Hsien Sung, University of South Carolina
2020	Lucia Kovacikova, Tulane University at New Orleans Silviya Nitsova, University of North Carolina at Chapel Hill; Katie Krumbholz, Rutgers University Pablo Hernandez Borges, Texas Tech University Helen Kras, University of Kentucky Angie Torres-Beltran, Cornell University
2019	Garcia Award Robert Vidigal, The State University of New York at Stony Brook Marielena Dias, Florida State University Box-Steffensmeier Award Shana Scogin, University of Notre Dame Hyein Ko, University of Iowa Samantha Fuller, Iowa State University
2018	Bianca DiGiovanni, University of Chicago Kathryn Overton, University of New Mexico Stephen Omar El-Khatib, University of California, Riverside Andres Sandoval, Tulane University Marco Alcocer, University of California, San Diego

Advanced Empirical Research on Politics for Undergraduates Program (AERoPUP)

2019

Matthew Harpe, Harvard University “The Role of Social Capital in Lowering Drug-, Alcohol- and Suicide-Related Mortality.” Nikki Lin, University of Pennsylvania “Individual Emotional Responses in Young Americans and Their Political Engagement.” Yihang (Genna) Liu, Dartmouth College “Analyzing Truthful Immigration Policy Preferences.” Danielle Niangar, University of Houston “American Public Opinion on Human Rights and Foreign Policy: An Experimental Evaluation.” Akhil Rajan, Yale University “Does ‘Identity Politics’ Harm Liberals in Redistricting?: Evidence from Majority-Minority Districts.” Sierra Wiese, Indiana University “Measuring the Effect of Independent Redistricting Commissions on Gerrymandering.” Alan Yan, University of California, Berkeley “Gain/Loss Framing and Legislator Preferences.”