Improving the Reliability of Food Safety Disclosure: Restaurant Grading in Seattle-King County, Journal of Environmental Health (with Zoe C. Ashwood and Becky Elias)

When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset of 53,000+ Legal Holdings, ICAIL ’21 (with Lucia Zheng, Neel Guha, Peter Henderson, and Brandon Anderson)

Context-Aware Legal Citation Recommendation using Deep Learning, ICAIL ’21 (with Zihan Huang, Charles Low, Mengqiu Teng, Hongyi Zhang, Mark Krass, and Matthias Grabmair)

How Medical AI Devices Are Evaluated: Limitations and Recommendations from an Analysis of FDA Approvals, Nature Medicine (with Eric Wu, Kevin Wu, Roxana Daneshjou, David Ouyang, and James Zou)

Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery, ACM COMPASS ’21 (with Caleb Robinson, Anthony Ortiz, Juan M. Lavista Ferres and Brandon Anderson)

Disparate Limbo: How Administrative Law Erased Antidiscrimination, Yale Law Journal (forthcoming) (with Cristina Isabel Ceballos and David Freeman Engstrom)

Mandatory Retirement and Age, Race, and Gender Diversity of University Faculties, American Law and Economics Review (2021, forthcoming) (with Oluchi Mbonu and Anne McDonough)

The Distributive Effects of Risk Prediction in Environmental Compliance: Algorithmic Design, Environmental Justice, and Public Policy, ACM FAccT (2021) (with Elinor Benami, Reid Whitaker, Vincent La, Hongjin Lin, and Brandon R. Anderson)

How U.S. Law Will Evaluate Artificial Intelligence for Covid-19, BMJ (2021) (with Mark Krass, Peter Henderson, Michelle M. Mello, and David M. Studdert)

Leveraging Administrative Data for Bias Audits: Assessing Disparate Coverage with Mobility Data for COVID-19 Policy, ACM FAccT (2021) (with Amanda Coston, Neel Guha, Derek Ouyang, Lisa Lu, and Alexandra Chouldechova)

Deep Learning with Satellite Imagery to Enhance Environmental Enforcement, in Data Science Applied to Sustainability Analysis (2021, forthcoming) (with Sandy Handan-Nader and Larry Y. Liu)

Affirmative Algorithms: The Legal Grounds for Fairness as Awareness, University of Chicago Law Review Online (2020) (with Alice Xiang)

Evaluating Facial Recognition Technology: A Protocol for Performance Assessment in New Domains, Stanford HAI White Paper (2020) (with Emily Black, Maneesh Agrawala, and Li, Fei-Fei)

Feasible Policy Evaluation by Design: A Randomized Synthetic Stepped-Wedge Trial in King County, Evaluation Review (2020) (with Cassandra Handan-Nader and Becky Elias)

Algorithmic Accountability in the Administrative State, Yale Journal of Regulation (2020) (with David Freeman Engstrom)

Improving Scientific Judgments in Law and Government: A Field Experiment of Patent Peer Review, 17 Journal of Empirical Legal Studies 190-223 (2020) (with Lisa Larrimore Ouellette)

Menu Labeling, Calories, and Nutrient Density: Evidence from Chain Restaurants, 15 PLoS ONE 1-16 (2020) (with Oluchi Mbonu, Anne McDonough, and Rebecca Pottash)

The Effectiveness of a Neighbor-to-Neighbor Get-Out-the-Vote Program: Evidence from the 2017 Virginia State Elections, Journal of Experimental Political Science (2021) (with Cassandra Handan-Nader, Alison Morantz, and Tom Rutter)

Government by Algorithm: Artificial Intelligence in Federal Administrative Agencies, Report to the Administrative Conference of the United States (2020) (with David Freeman Engstrom, Catherine M. Sharkey, and Mariano-Florentino Cuéllar)

Artificially Intelligent Government: A Review and an Agenda, in Big Data Law (Roland Vogl ed. 2021) (with David Freeman Engstrom)

Did Restaurant Hygiene Grading in Los Angeles Immediately Reduce Foodborne Illness by 20% Across All of Southern California? A Response to Jin & Leslie, SIEPR Working Paper (2019) (with Cassandra Handan-Nader)

Deep Learning to Map Concentrated Animal Feeding Operations, 2 Nature Sustainability 298 (2019) (with Cassandra Handan-Nader) (Supplemental Information)

Quality Review of Mass Adjudication: A Randomized Natural Experiment at the Board of Veterans Appeals, 2003-16, 35 Journal of Law, Economics, and Organization 239 (2019) (with Cassandra Handan-Nader, David Ames, and David Marcus)

Due Process and Mass Adjudication: Crisis and Reform, 72 Stanford Law Review 1 (2020) (with David Ames, Cassandra Handan-Nader, and David Marcus)

Is Yelp Actually Cleaning Up the Restaurant Industry? A Re-Analysis on the Relative Usefulness of Consumer Reviews, WWW Proceedings (2019) (with Kristen M. Altenburger)

Making Street-Level Bureaucracy Work: Safer Food in Seattle and King County in Evidence Works: Cases Where Evidence Meaningfully Informed Policy (Nick Hart & Meron Yohannes eds. 2019) (with Becky Elias)

When Algorithms Import Private Bias into Public Enforcement: The Promise and Limitations of Statistical Debiasing Solutions, 175 Journal of Institutional and Theoretical Economics 98-122 (with Kristen M. Altenburger)

New Evidence on Information Disclosure through Restaurant Hygiene Grading, 11 American Economic Journal: Economic Policy 404-28 (2019) (with Zoe C. Ashwood and Cassandra Handan-Nader) (Online Appendix)

Does Peer Review Work? An Experiment of Experimentalism, 69 Stanford Law Review 1-119 (2017)

Do Checklists Make a Difference? A Natural Experiment from Food Safety Enforcement, Journal of Empirical Legal Studies (2018) (with Sam Sherman and Phil Wyman)

Judging Statistical Criticism, Observational Studies (2017)

Managing Street-Level Arbitrariness: The Evidence Base for Public Sector Quality Improvement, 13 Annual Review of Law and Social Science 251-72 (2017) (with Sam Sherman)

Equity in Bureaucracy, Irvine Law Review (2017)

New Measurement Technologies: A Review and Application to Nuremberg and Justice Jackson, Oxford Handbook of Law and the Judiciary (2017) (with Michael Morse)

Testing the Marketplace of Ideas, 90 New York University Law Review 1160-1228 (2015) (with Fred Schauer)

Randomizing . . . What? A Field Experiment of Child Access Voting Laws, 171 Journal of Institutional and Theoretical Economics 150-70 (2015)

Does Class Size Affect the Gender Gap? A Natural Experiment in Law, 43 Journal of Legal Studies 291-321 (2014) (with Mark G. Kelman)

Foreword: Conference Bias, 10 Journal of Empirical Legal Studies 603-11 (2013)

Introduction: The Empirical Revolution in Law, 65 Stanford Law Review 1195-1202 (2013) (with Larry Kramer)

Do Police Reduce Crime A Reexamination of a Natural Experiment, Empirical Legal Analysis: Assessing Performance of Legal Institutions (2013) (with John J. Donohue III and Patrick Leahy)

Fudging the Nudge: Information Disclosure and Restaurant Grading, 122 Yale Law Journal 574-688 (2012)

Credible Causal Inference for Empirical Legal Studies, 7 Annual Review of Law and Social Science 17-40 (2011) (with Donald B. Rubin)

MatchIt: Nonparametric Preprocessing for Parametric Causal Inference, 42 Journal of Statistical Software 1-28 (with Kosuke Imai, Gary King, and Elizabeth A. Stuart)

Did a Switch in Time Save Nine?, 2 Journal of Legal Analysis 69-113 (2010) (with Kevin M. Quinn)

Did Liberal Justices Invent the Standing Doctrine? An Empirical Study of the Evolution of Standing, 1921-2006, 62 Stanford Law Review 591-667 (2010) (with Erica L. Ross)

How Not to Lie with Judicial Votes: Misconceptions, Measurement, and Models, 98 California Law Review 813-76 (2010) (with Kevin M. Quinn)

Reconciling Punitive Damages Evidence: Comment, 166 Journal of Institutional and Theoretical Economics 27-32 (2010)

Measuring Agency Preferences: Experts, Voting, and the Power of Chairs, 59 DePaul Law Review 333-70 (2010)

Viewpoint Diversity and Media Consolidation: An Empirical Study, 61 Stanford Law Review 781-868 (2009) (with Kevin M. Quinn)

The Role of Theory and Evidence in Media Regulation and Law: Response to Baker and a Defense of Empirical Legal Studies, 61 Federal Communications Law Journal 673-713 (2009) (with Kevin M. Quinn)

Evaluating Course Evaluations: An Empirical Analysis of a Quasi-Experiment at the Stanford Law School, 2000-2007, 58 Journal of Legal Education 388-412 (2009) (with Timothy H. Shapiro)

Measuring Explicit Political Positions of Media, 3 Quarterly Journal of Political Science 353-77 (2008) (with Kevin M. Quinn)

Estimating Causal Effects of Ballot Order from a Randomized Natural Experiment: The California Alphabet Lottery, 1978-2002, 72 Public Opinion Quarterly 216-40 (2008) (with Kosuke Imai)

Improving the Presentation and Interpretation of Online Ratings Data with Model-based Figures, 62 American Statistician 279-88 (2008) (with Kevin M. Quinn)

Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference, 15 Political Analysis 199-236 (2007) (with Kosuke Imai, Gary King, and Elizabeth A. Stuart)

The Impact of Damage Caps on Malpractice Claims: Randomization Inference with Difference-in-Differences, 4 Journal of Empirical Legal Studies 69-102 (2007) (with John J. Donohue III).

Randomization Inference with Natural Experiments: An Analysis of Ballot Effects in the 2003 California Recall Election, 101 Journal of the American Statistical Association 888-900 (2006) (with Kosuke Imai)

The Effect of War on the Supreme Court, Principles and Practice of American Politics (Samuel Kernell and Steven S. Smith eds., 3d ed. 2006) (with Lee Epstein, Gary King, and Jeffrey A. Segal)

Why Affirmative Action Does Not Cause Black Students to Fail the Bar, 114 Yale Law Journal 1997-2004 (2005)

Affirmative Action’s Affirmative Actions: A Reply to Sander, 114 Yale Law Journal 2011-16 (2005)

The Supreme Court During Crisis, 80 New York University Law Review 1-116 (2005) (with Lee Epstein, Gary King, and Jeffrey A. Segal)

Compliance with International Soft Law: Why Do Countries Implement the Basle Accord?, 5 Journal of International Economic Law 647-88 (2002)