Radcliffe Institute for Advanced Study at Harvard
Institute for Advanced Study at Toulouse
Toulouse School of Economics
Co-Chair, Moral AI, Artificial and Natural Intelligence Toulouse Institute
Centre National de la Recherche Scientifique
NYU Center for Data Science Lead PI, AMICUS (Analytical Metrics for Informed Courtroom Understanding and Strategy)
oTree Open Source Research Foundation
Law and economics is divided between the consequentialist view that optimal policy should be based on calculations of costs and benefits and a non-consequentialist view that policy should be determined deontologically: from duties we derive what is the correct law–what is right and just.
Are there deontological motivations, and if there are, how might we formally model these motivations? What are the implications of things like deontological motivations for economics methods and policy, and what puzzles can we explain with deontological motivations that we cannot with standard models? What is the impact of law & economics on justice?
To answer these questions, his research has
Some current themes on consequences, formation, and measurement of normative commitments (and applications in law) include:
His research has been accepted in leading economics journals (American Economic Review, Econometrica, Journal of Political Economy, and Quarterly Journal of Economics), science journals (Proceedings of the National Academy of Sciences, Science Advances, Nature Human Behavior), double-blind peer-review law outlets (Stanford-Yale Junior Faculty Forum and Law and STEM Junior Faculty Forum), 5 NeurIPS selections (Machine Learning and Law, Interpretable Machine Learning, CausalML, ML for Economic Policy, and AI for Credible Elections), and press outlets (Washington Post, New York Times, Wall Street Journal, and Times of India) and has been referenced in 2 National Academy of Sciences Study Reports (Deterrence and the Death Penalty (2012) and Decarcerating Correctional Facilities during COVID-19 (2020)).
The research has anchored successful applications with € 11 190 000 in grant budget awarded for “Origins and Effects of Normative Commitments”, “Positive Foundations of Normative Commitments”, “Digital Humanities: Legal Analysis in a Big Data World”, "Increasing Access to Justice Through Improved Judicial Efficiency", “The Impact of Justice Innovations on Poverty, Growth, and Development”, "Data AI and IE", "Green and Digital Development", “High-Dimensional Econometrics Applications in Law and Economics”, “Markets and Morality: Do Free Markets Corrode Moral Values?”, and "oTree: An Open-Source Platform for Online, Lab, and Field Experiments".
He is Lead PI for a € 14 000 000 European Research Council Synergy grant proposal "AMICUS (Analytical Metrics for Informed Courtroom Understanding and Strategy)" that was recommended for funding in 2024 and was Coordinating PI for a € 13 300 000 European Research Council Synergy grant proposal "Difference-in-Indifference: Normative Commitments in Multiculturalist Societies" that advanced to the second stage in 2018 and PI for a € 3 600 000 European Research Council Advanced grant proposal "E-Justice Innovations in the Wake of COVID-19" that advanced to the second stage in 2022.
His research has also received support from The Alfred P. Sloan Foundation, European Research Council Consolidator Grant, Swiss National Science Foundation, Russell Sage Foundation, European Union, Chan Zuckerberg Initiative, DFID, Google Inclusion, Agence Nationale de la Recherche, International Growth Centre, Knowledge for Trust Fund, MacArthur Foundation, Ewing Marion Kauffman Foundation, Social Science Research Council, Templeton Foundation, Earhart Foundation, Institute for Humane Studies, National Institute of Child Health and Human Development, National Institutes of Health, and National Science Foundation.
He serves or has served on the Program Committees of NAACL Natural Legal Language Processing, International Conference on AI and Law, Econometric Society Meetings, European Economic Association, American Law and Economics Association, and European Law and Economics Association, and been invited to deliver keynotes at the European Law and Economics Association, Asia Law and Economics Association, French Law and Economics Association, International Conference on Computational Social Science (IC2S2), AI, law, and behavioral science conferences, and the 2018 Heremans Lectures in Law & Economics.AMICUS (Analytical Metrics for Informed Courtroom Understanding and Strategy)/DE JURE (Data and Evidence for Justice Reform)’s aim is to revolutionize how legitimacy and equality in justice systems are measured, understood, and enhanced. The goal is to move from studying historical data to working with administrative data, machine learning, and RCTs to achieve a more just system. The program has thus far worked with countries in three broad categories. In the first group, AMICUS works closely with court management, judiciaries, and training academies to design, deploy, and evaluate interventions—often developing the technologies to do so. In the second group, AMICUS works with auxiliary actors involved in access to justice to assess trustworthy Artificial Intelligence (AI) and trust in the law. In the third group, AMICUS obtains data and conducts historical analyses on judicial efficiency or inconsistencies that may spur a cycle of change.
Ideas Have Consequences: The Impact of Law and Economics on American Justice
The Deterrent Effect of the Death Penalty? Evidence from British Commutations During World War I
Transmitting Rights: Effective Cooperation, Inter-Gender Contact, and Student Achievement
The Impact of Online Dispute Resolution on Judicial Outcomes in India
The Rule of Law or the Rule of Robots? Nationally Representative Survey Evidence from Kenya
Does Quadratic Voting for Survey Research Improve Policy-Making and Decision Outcomes?
In-Group Bias in the Indian Judiciary: Evidence from 5 Million Criminal Cases
Covering: Mutable Characteristics and Perceptions of Voice in the U.S. Supreme Court
The Data Revolution in Justice
Mood and the Malleability of Moral Reasoning: The Impact of Irrelevant Factors on Judicial Decision Making
Motivated Reasoning in the Field: Polarization of Precedent, Prose, and Policy in U.S. Circuit Courts, 1930-2013
Priming Ideology II: Presidential Elections Increasingly Affect U.S. Judges
How Do Rights Revolutions Occur? Free Speech and the First Amendment
Can Policies Affect Preferences? Theory and Evidence from Random Variation in Abortion Jurisprudence
Shaping Societal Norms: Experimental Evidence on the Normative Impacts of Free Speech Law
Gender Attitudes in the Judiciary: Evidence from U.S. Circuit Courts
Markets and Morality: How Markets Shape Our (Dis)Regard for Others
Teacher Vaccinations Enhance Student Achievement in Pakistan: The Role of Role Models and Theory of Mind
Altruism in Governance:
Insights from Randomized Training for Pakistan's Junior Ministers
Grit and Academic Resilience During Covid-19
Priming Ideology I: Why Do Presidential Elections Affect U.S. Judges
The Judicial Superego: Implicit Egoism, Internalized Racism, and Prejudice in Three Million Sentencing Decisions
The Disavowal of Decisionism in American Law: Political Motivation in the Judiciary
Who Cares? Measuring Attitude Strength in a Polarized Environment
Caste aside? Names, Networks and Justice in the Courts of Bihar, India
Is Ambiguity Aversion a Preference? Ambiguity Aversion without Asymmetric Information
Mapping the Geometry of Law using Document Embeddings
Ramadan Fasting Increases Leniency in Judges from Pakistan and India
Invariance of Equilibrium to the Strategy Method I: Theory
Invariance of Equilibrium to the Strategy Method II: Experimental Evidence
Non-Confrontational Extremists
Do Markets Overcome Repugnance? Muslim Trade Response to Anti-Muhammad Cartoons
Clash of Norms: Judicial Leniency on Defendant Birthdays
Judicial Compliance in District Courts
Motivational Drivers for Serial Position Effects in High-Stakes Legal Decisions
Social Preferences or Sacred Values? Theory and Evidence of Deontological Motivations
Measuring Judicial Sentiment: Methods and Application to U.S. Circuit Courts
COVID-19 Within Families Amplifies the Prosociality Gap Between Adolescents of High and Low Socioeconomic Status
Carceral-Community Epidemiology, Structural Racism, and Covid-19 Disparities
Association of Jail Decarceration and Anti-Contagion Policies with Covid-19 Case Growth Rates in United States Counties
Incarceration And Its Disseminations: COVID-19 Pandemic Lessons From Chicago’s Cook County Jail
Automated Fact-Value Distinction in Court Opinions
Gender Violence and the Price of Virginity: Theory and Evidence of Incomplete Marriage Contracts
Judicial Analytics and the Great Transformation of American Law
Mandatory Disclosure: Theory and Evidence from Industry-Physician Relationships
Law and Literature: Theory and Evidence on Empathy and Guile
Electoral Cycles Among U.S. Courts of Appeals Judges
The Shareholder Wealth Effects of Delaware Litigation
Decision-Making Under the Gambler’s Fallacy: Evidence From Asylum Courts, Loan Officers, and Baseball Umpires
oTree: An Open Source Platform for Online, Lab, and Field Experiments
Perceived Masculinity Predicts U.S. Supreme Court Outcomes
Are Online Labor Markets Spot Markets for Tasks? A Field Experiment on the Behavioral Response to Wages Cuts
Can Markets Stimulate Rights? On the Alienability of Legal Claims
The Construction of Morals
Sparse Models and Methods for Optimal Instruments with an Application to Eminent Domain
Can Countries Reverse Fertility Decline? Evidence from France's Marriage and Baby Bonuses, 1929-1981
Club Goods and Group Identity: Evidence from Islamic Resurgence During the Indonesian Financial Crisis
Income Distribution Dynamics with Endogenous Fertility
Interacting with AI at Work: Perceptions and Opportunities from the UK Judiciary
Reward-on-the-Line Offline Reinforcement Learning for Conversational Agents
Civicbase: An Open-Source Platform for Deploying Quadratic Voting for Survey Research NeurIPS21
In-group Bias in the Indian Judiciary: Evidence from 5.5 million Criminal Cases
Analysis of Vocal Implicit Bias in SCOTUS Decisions Through Predictive Modeling
Non-Segmental Conditioning of Sibilant Variation in American English
The Genealogy of Ideology: Identifying Persuasive Memes and Predicting Agreement in the U.S. Courts of Appeals