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Political Methodology Section Award Recipients

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.”
2021 Methods Category
Nuannuan Xiang, University of Michigan
A Gaussian Process Model for Causal Inference with TSCS Data.”
2021 Applications Category
Erin Rossiter, Washington University in St. Louis
“The Consequences of Interparty Conversation on Outparty Affect and Stereotypes.”
2021
  Applications Category
Luwei Ying, Washington University, St. Louis
“Religiosity and Secularism: A Text-as-Data Approach to Recover Jihadist Groups’ Rhetorical Strategies.”
2021 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”
2020 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”

2020

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.”

Asian Political Methodology Meeting Best Poster Award

2019   Soichiro Yamauchi, Harvard University
“Bias-Corrected Estimator for Difference-in-Differences Design.”
2019

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).
2017  Joel A. Middleton, University of California
"Bias Amplification and Bias Unmasking." Political Analysis 24 (4):307-323. 
2017  Mark A. Scott, New York University
"Bias Amplification and Bias Unmasking." Political Analysis 24 (4):307-323.
2017  Ronli Diakow, New York City Department of Education
"Bias Amplification and Bias Unmasking." Political Analysis 24 (4):307-323. 
2017  Jennifer L. Hil, New York University
"Bias Amplification and Bias Unmasking." Political Analysis 24 (4):307-323.
2016    Pablo Barberá, New York University
“Birds of the same feather tweet together: Bayesian ideal point estimation using Twitter data.” Political Analysis, 23(1): 76-91 
2015  Jens Hainmueller, Stanford University
“Causal Inference in Conjoint Analysis: Understanding Multidimensional Choices via Stated Preference Experiments.” Political Analysis, 2013  
2015  Daniel Hopkins, Pennsylvania State University
“Causal Inference in Conjoint Analysis: Understanding Multidimensional Choices via Stated Preference Experiments.” Political Analysis, 2013  
2015  Teppei Yamamoto, Massachusetts Institute of Technology
“Causal Inference in Conjoint Analysis: Understanding Multidimensional Choices via Stated Preference Experiments.” Political Analysis, 2013  
2014 Mark Fredrickson, University of Illinois at Urbana-Champaign
"Reasoning about Interference in Randomized Studies." Political Analysis. 2013. 21(1):97-124
2014 Costas Panagopoulos, Fordham University
"Reasoning about Interference in Randomized Studies.” Political Analysis. 2013. 21(1):97-124
2014 Jacob Bowers, University of Illinois, Urbana-Champaign
"Reasoning about Interference in Randomized Studies." Political Analysis. 2013. 21(1):97-124
2013 Jens Hainmueller, Massachusetts Institute of Technology
"Entropy Balancing for Casual Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies"
2012 Devin Caughey, University of California, Berkeley
Elections and the Regression-Discontinuity Design: Lessons from Close U.S. House Races, 1942-2008 (Political Analysis. 19 (4))
2012 Jasjeet Sekhon, University of California, Berkeley
Elections and the Regression-Discontinuity Design: Lessons from Close U.S. House Races, 1942-2008 (Political Analysis. 19 (4))
2011 Justin Grimmer, Stanford Unversity
"A Bayesian Hierarchical Topic Model for Political Texts: Measuring Expressed Agendas in Senate Press Releases"
2010 Daniel Corstange, University of Maryland, College Park
2007 Frederick Boehmke, University of Iowa
The Influence of Unobserved Factors on Position Timing and Content in the NAFTA Vote
2006 Robert Franzese Jr., University of Michigan, Ann Arbor
"Empirical Strategies for Various Manifestations of Multilevel Data," Political Analysis 13:4 (Fall 2005): 430-446
2005 David Nickerson, University of Notre Dame
Scalable Protocols Offer Efficient Design for Field Experiments
2004 David Park, Washington University, St. Louis
Co-Authored with Andrew Gelman, Columbia University, and Joseph Bafumi, Columbia University, "Bayesian Multilevel Estimation with Poststratification: State-Level Estimates from National Polls"
2004 Andrew Gelman, Columbia University
Co-Authored with David Park, Washington University, St. Louis, and Joseph Bafumi, Columbia University, "Bayesian Multilevel Estimation with Poststratification: State-Level Estimates from National Polls"
2004 Joseph Bafumi, Columbia University
Co-Authored with David Park, Washington University, St Louis, and Andrew Gelman, Columbia University, "Bayesian Multilevel Estimation with Poststratification: State-Level Estimates from National Polls"
2003 Kenneth Schultz, University of California-Los Angeles
"Revealing Preferences: Empirical Estimation of a Crisis Bargaining Game with Incomplete Information"
2003 Jeffrey Lewis, University of California-Los Angeles
"Revealing Preferences: Empirical Estimation of a Crisis Bargaining Game with Incomplete Information"
2003 Hyeok Yong Kwon, Cornell University
"Has Economic Insecurity Produced Left-Wing Voters? A Markov Chain Approach"
2003 Sona Golder, New York University
"Pre-Electoral Coalition Formation"
2002 Patrick Heagerty, University of Washington
"Windows of Opportunity: Window Subseries Empirical Variance Estimators in International Relations."
2002 Michael Ward, University of Washington
"Windows of Opportunity: Window Subseries Empirical Variance Estimators in International Relations."
2002 Kristian Gleditsch, University of California-San Diego
"Windows of Opportunity: Window Subseries Empirical Variance Estimators in International Relations."
2002 Sunshine Hillygus, Stanford University
"The Dynamics of Voter Decision-making in Election 2000"
2001 Keith Poole, University of Houston
"Estimate Legislator's Preferred Points"
1999 Kevin Clarke, University of Michigan
"Testing Nonnested Models of the Democratic Peace"
1998    Adam Berinsky, University of Michigan
"The Two Faces of Public Opinion"

 


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

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.”
2019 Nikki Lin, University of Pennsylvania
Individual Emotional Responses in Young Americans and Their Political Engagement.”
2019 Yihang (Genna) Liu, Dartmouth College
“Analyzing Truthful Immigration Policy Preferences.”
2019 Danielle Niangar, University of Houston
“American Public Opinion on Human Rights and Foreign Policy: An Experimental Evaluation.”
2019 Akhil Rajan, Yale University
“Does ‘Identity Politics’ Harm Liberals in Redistricting?: Evidence from Majority-Minority Districts.”
2019  Sierra Wiese, Indiana University
“Measuring the Effect of Independent Redistricting Commissions on Gerrymandering.”
2019   Alan Yan, University of California, Berkeley
“Gain/Loss Framing and Legislator Preferences.”