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

  • curated 12 terabytes of archival and administrative data on judges and courts where normative ideas incubate; the data bridge machine learning, causal inference, and normative theories of justice regarding equal treatment before the law and equality based on recognition of difference
  • developed a programming language to study normative commitments in experiments, now used in over 23 countries, 10 academic disciplines, private and public sectors, and local high schools
  • spearheaded randomized impact evaluations to improve justice with high-frequency administrative data in 17 countries

Some current themes on consequences, formation, and measurement of normative commitments (and applications in law) include:

  • Law and Development tracing the incentives that led to what are now viewed as human rights violations
  • Markets and Morality how market forces interact with normative commitments
  • Behavioral Judging social and psychological, economic and political influences on legal ideas and production of justice
  • Law and Legitimacy role of legitimacy in legal compliance
  • Demography of Ideas economics of interpretation (hermemetrics) as a source of normative commitments
  • AI and Rule of Law leveraging normative commitments to facilitate access to justice

His research has been accepted in leading economics journals (American Economic Review, Econometrica, Journal of Political Economy, and Quarterly Journal of Economics), computer science journals (Journal of Machine Learning Research), double-blind peer-review law outlets (Stanford-Yale Junior Faculty Forum and Law and STEM Junior Faculty Forum) and NeurIPS selections (Machine Learning and Law, Interpretable Machine Learning, and CausalML), and press outlets (Washington Post).

The research has anchored successful applications with € 3 500 000 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”, “The Impact of Justice Innovations on Poverty, Growth, and 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", and received support from The Alfred P. Sloan Foundation, European Research Council Consolidator Grant, Swiss National Science Foundation, Russell Sage Foundation, and Agence Nationale de la Recherche. His work has also been supported by the 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 has served on the Program Committees of NAACL Natural Legal Language Processing, 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, French Law and Economics Association, International Conference on Computational Social Science, AI, law, and behavioral science conferences, and the 2018 Heremans Lectures in Law & Economics.

Papers


Articles


invited to resubmit

The Deterrent Effect of the Death Penalty? Evidence from British Commutations During World War I
American Economic Review


Covering: Mutable Characteristics and Perceptions of Voice in the U.S. Supreme Court
Review of Economic Studies; Y. Halberstam, A. Yu


Can Policies Affect Preferences? Theory and Evidence from Random Variation in Abortion Jurisprudence
American Economic Journal: Economic Policy; V. Levonyan, S. Yeh


Markets and Morality: Do Free Markets Corrode Moral Values?
Journal of Law, Economics, and Organization; E. Reinhart


The Disavowal of Decisionism in American Law: Political Motivation in the Judiciary
Journal of Law and Courts; E. Reinhart


Mapping the Geometry of Law using Document Embeddings
Science Advances; E. Ash


Testing Axiomatizations of Ambiguity Aversion
Theory and Decision; M. Schonger


The Political Economy of Beliefs: Why Fiscal and Social Conservatives/Liberals Come Hand-in-Hand
Journal of Comparative Economics; J. Lind


Judicial Compliance in District Courts
Economic Inquiry; J. Frankenreiter, S. Yeh


Causal Effects of Judicial Sentiment: Methods and Application to U.S. Circuit Courts
Economica; E. Ash, S. Galletta



2020

Incarceration and its Disseminations: From COVID-19 to Pandemicity without Pandemic
Health Affairs; E. Reinhart


Automated Fact-Value Distinction in Court Opinions
European Journal of Law and Economics, 1-17, lead article; Y. Cao, E. Ash


Incremental AI
American Journal of Evaluation, forthcoming


The Better Way to Onboard AI
Harvard Business Review, forthcoming; B. Babic, T. Evgeniou, A. Fayard


Gender Violence and the Price of Virginity: Theory and Evidence of Incomplete Marriage Contracts
Journal of Religion and Demography, forthcoming



2019

Judicial Analytics and the Great Transformation of American Law
Artificial Intelligence and Law, 27(1), 15-42, 2019


Mandatory Disclosure: Theory and Evidence from Industry-Physician Relationships
Journal of Legal Studies, 48(2), 409-440, 2019; V. Levonyan, E. Reinhart, G. Taksler


A Decision-Theoretic Approach to Understanding Survey Response: Likert vs. Quadratic Voting for Attitudinal Research
University of Chicago Law Review Online, 22(2019); C. Cavaille, K. Van der Straeten


Machine Learning and Rule of Law
Law as Data, Santa Fe Institute Press, ed. M. Livermore and D. Rockmore, 2019(16)


Case Vectors: Spatial Representations of the Law Using Document Embeddings
Law as Data, Santa Fe Institute Press, ed. M. Livermore and D. Rockmore, 2019(11); E. Ash


Attorney Voice and the U.S. Supreme Court
Law as Data, Santa Fe Institute Press, ed. M. Livermore and D. Rockmore, 2019(13); Y. Halberstam, M. Kumar, A. Yu


Intermediated Social Preferences: Altruism in an Algorithmic Era
Advances in Economics of Religion, Vol. 158, Palgrave Macmillan, 2019, ed. J. P. Carvalho, S. Iyer, J. Rubin.



2018

What Kind of Judge is Brett Kavanaugh? A Quantitative Analysis
Cardozo Law Review de novo, 2018; E. Ash


Kavanaugh is radically conservative. Here's the data to prove it
Washington Post, Jul 10, 2018; E. Ash


Automated Classification of Modes of Moral Reasoning in Judicial Decisions
Computational Legal Studies, 2018; N. Mainali, L. Meier, E. Ash


Law and Literature: Theory and Evidence on Empathy and Guile
Review of Law and Economics, 15(1), 2018


Tastes for Desert and Placation: A Reference Point-Dependent Model of Social Preferences
Research in Experimental Economics, Experimental Economics and Culture, Volume 20, 205-226, 2018; Bingley, UK: Emerald; ed. A. Gunnthorsdottir and D. A. Norton


Non-Segmental Conditioning of Sibilant Variation in American English
Proceedings of the 18th International Congress of Phonetic Sciences, 2018; J. Phillips, A. Yu


Analysis of Vocal Implicit Bias in SCOTUS Decisions Through Predictive Modeling
Proceedings of Experimental Linguistics, 2018; E. Ash, R. Vunikili, H. Ochani, D. Jaiswal, R. Deshmukh



2017

Electoral Cycles Among U.S. Courts of Appeals Judges
Journal of Law and Economics, 60(3), 479-496, 2017; C. Berdejo


The Shareholder Wealth Effects of Delaware Litigation
American Law and Economics Review, 19(2), 287-326, 2017; A. Badawi


The Genealogy of Ideology: Identifying Persuasive Memes and Predicting Agreement in the U.S. Courts of Appeals
Proceedings of the ACM Conference on AI and the Law, 2017; A. Parthasarathy, S. Verma


Early Predictability of Asylum Court Decisions
Proceedings of the ACM Conference on AI and the Law, 2017; M. Dunn, L. Sagun, H. Sirin


Can Machine Learning Help Predict the Outcome of Asylum Adjudications?
Proceedings of the ACM Conference on AI and the Law, 2017; J. Eagel



2016

Decision-Making Under the Gambler’s Fallacy: Evidence From Asylum Courts, Loan Officers, and Baseball Umpires
Quarterly Journal of Economics, 131(3): 1181-1241, 2016; T. Moskowitz, K. Shue


oTree: An Open Source Platform for Online, Lab, and Field Experiments
Journal of Behavioral and Experimental Finance, 9(1), 88-97, 2016, M. Schonger, C. Wickens


What Matters: Agreement Among U.S. Courts of Appeals Judges NeurIPS16
Journal of Machine Learning Research (W&CP), 2016; X. Cui, L. Shang, J. Zheng


Perceived Masculinity Predicts U.S. Supreme Court Outcomes
PLoS-ONE, 11(10), e0164324; Y. Halberstam, A. Yu


Are Online Labor Markets Spot Markets for Tasks? A Field Experiment on the Behavioral Response to Wages Cuts
Information Systems Research, 27(2), 403-423; J. Horton



2015

Can Markets Stimulate Rights? On the Alienability of Legal Claims
RAND Journal of Economics, 46(1), 23-65, 2015


Investigating Variation in English Vowel-to-Vowel Coarticulation in a Longitudinal Phonetic Corpus
Proceedings of the 18th International Congress of Phonetic Sciences, 2015; C. Abrego-Collier, J. Phillips, B. Pillion, A. Yu



2014

The Construction of Morals
Journal of Economic Behavior and Organization, 104, 84-105, 2014; S. Yeh


Economics, Religion, and Culture: A Brief Introduction
Journal of Economic Behavior and Organization, 104, 1-3, 2014; D. Hungerman



2013

A Market for Justice: A First Empirical Look at Third-Party Litigation Funding
Journal of Business Law, 15(3), 2013; D. Abrams


Does Appellate Precedent Matter? Stock Price Responses to Appellate Court Decisions of FCC Actions
Empirical Legal Analysis: Assessing the Performance of Legal Institutions, 2013; A. Araiza, S. Yeh


Distinguishing Between Custom and Law: Empirical Examples of Endogeneity from Property and First Amendment Precedents
William & Mary Bill of Rights Journal, 21(1081), 2013; S. Yeh



2012

Sparse Models and Methods for Optimal Instruments with an Application to Eminent Domain
Econometrica, 80(6), 2369-2429, 2012; A. Belloni, V. Chernozhukov, C. Hansen


Does Disclosure Matter?
Journal of Institutional and Theoretical Economics, 168(1), 120-123, 2012


'Not that Smart': Sonia Sotomayor and the Construction of Merit
Emory Law Journal, 61(4), 2012; G. Charles, M. Gulati



2011

Designing Incentives for Inexpert Human Raters
Proceedings of the ACM Conference on Computer Supported Cooperative Work, 2011; J. Horton, A. Shaw


Can Countries Reverse Fertility Decline? Evidence from France's Marriage and Baby Bonuses, 1929-1981
International Tax and Public Finance, 118(3), 252-271, 2011


Trading Off Reproductive Technology and Adoption: A Response to Appleton and Pollak
Minnesota Law Review, 95(6), 2011; I. G. Cohen



2010

Club Goods and Group Identity: Evidence from Islamic Resurgence During the Indonesian Financial Crisis
Journal of Political Economy, 118(2), 300-354, 2010


Trading Off Reproductive Technology and Adoption: Do IVF Subsidies Decrease Adoption Rates and Should It Matter? Stanford-Yale Junior Faculty Forum
Minnesota Law Review, 95(2), 2010; I. G. Cohen



2007

Islamic Resurgence and Social Violence During the Indonesian Financial Crisis
Institutions and Norms in Economic Development, MIT Press, ed. M. Gradstein and K. Konrad, 179-200, 2007


Religion, Welfare Politics, and Church-State Separation
Journal of Ecumenical Studies, 42(1), 42-52, 2007; J. Lind



2002

Income Distribution Dynamics with Endogenous Fertility
Journal of Economic Growth, 7(3), 227-258, 2002; M. Kremer



1999

Income-Distribution Dynamics with Endogenous Fertility
American Economic Review: Papers and Proceedings, 89(2), 155-160, 1999; M. Kremer



1995

An Empirical Study Comparing the Controlled Random Search Procedure and the General Simulated Annealing Method for Function Optimization
Proceedings of the Fourth Annual District of Columbia Computer Conference, 1995



Under Review

Algorithms as Prosecutors: Lowering Rearrest Rates Without Disparate Impacts and Identifying Defendant Characteristics ‘Noisy’ to Human Decision-Makers Law and STEM Junior Faculty Forum NeurIPS17
American Economic Review: Insights, submitted soon; D. Amaranto, E. Ash, L. Ren, C. Roper


Ideas Have Consequences: The Impact of Law and Economics on American Justice
Quarterly Journal of Economics, under review; E. Ash, S. Naidu


Stereotypes in High Stake Decisions: Evidence from U.S. Circuit Courts
American Economic Review, under review; E. Ash, A. Ornaghi


Clash of Norms: Judicial Leniency on Defendant Birthdays
American Economic Journal: Applied Economics, under review; A. Philippe


Priming Ideology? Why Do Presidential Elections Affect U.S. Judges
International Economic Review, under review


Implicit Egoism and Prejudice: Evidence from 3 Million Sentencing Decisions
Nature Scientific Reports, under review


Motivated Reasoning in the Field: Polarization of Precedent, Prose, and Policy in U.S. Circuit Courts, 1930-2013
American Economic Review, submitted soon; E. Ash, W. Lu


Mood and the Malleability of Moral Reasoning: The Impact of Irrelevant Factors on Judicial Decision Making
Nature Human Behavior, under review; M. Loecher


Best to be Last: Serial Position Effects in Legal Decisions in the Field and in the Lab
Science, submitted soon; O. Plonsky, Y. Feldman, T. Steiner, L. Nitzer


Mimicry: Phonetic Accommodation Predicts U.S. Supreme Court Votes
Psychological Science, submitted soon; A. Yu


Non-Confrontational Extremists
Journal of Politics, under review; M. Michaeli, D. Spiro


The Strategic Display of Emotions
Review of Economic Studies, under review; A. Hopfensitz, J. Van Der Ven, B. Van Leeuwen


A Theory of Experiments: Invariance of Equilibrium to the Strategy Method of Elicitation and Implications
Journal of Economic Science Association, under review; M. Schonger


Social Preferences or Sacred Values? Theory and Evidence of Deontological Motivations
Science Advances, under review; M. Schonger


Is Ambiguity Aversion a Preference? Ambiguity Aversion Without Asymmetric Information
Journal of the Economic Science Association, under review; M. Schonger


Who Cares? Measuring Attitude Strength in a Polarized Environment
American Journal of Political Science, under review; C. Cavaille, K. Van der Straeten


Do Markets Overcome Repugnance? Muslim Trade Response to Anti-Muhammad Cartoons
Journal of International Economics, under review


How Do Rights Revolutions Occur? Free Speech and the First Amendment
Economic Journal, under review; S. Yeh


Growth Under the Shadow of Expropriation? The Economics Impacts of Eminent Domain
Journal of Law and Economics, under review; S. Yeh


Insiders, Outsiders, and Involuntary Unemployment: Sexual Harassment Exacerbates Gender Inequality
Journal of Legal Studies, under review; J. Sethi


Supreme Court Vacancies and Discretionary Opinion Writing in Federal Circuit Courts
Journal of Public Economics, submitted soon; E. Ash, W. Lu


Confusing Average and Marginal Tax Rates: Experimental Evidence
International Review of Law and Economics, under review


The Economics of Crowdsourcing: A Theory of Disaggregated Labor Markets
Economic Inquiry, under review


Economic Distress Stimulates Religious Fundamentalism
Economic Letters, under review


How Does Science Progress? A Statistical Approach to Postmodern Theories of Knowledge
Economic Letters, under review


The Role of Justice in Development: The Data Revolution
Journal of Economic Literature, under review; M. Maqueda



Selected Drafts

Deep IV in Law: Automated Impact Analysis of Court Precedent and Application to Criminal Sentencing NeurIPS19 oral
E. Ash, X. Zhang, Z. Huang, R. Wang


When Matching Markets Unravel: Theory and Evidence from Federal Judicial Clerkships
Y. He, T. Yamashita


Judicial Inattention: Machine Prediction of Appeal Success in U.S. Asylum Courts
E. Ash


Learning Policy Levers: Toward Automated Policy Analysis Using Judicial Corpora
E. Ash, R. Delgado, E. Fierro, S. Lin


Predicting Bankruptcy Decisions Using Judicial Corpora
E. Ash, D. Cai


Predicting Malpractice Risk Using Microdata on Treatment Choices
E. Ash, H. Wang, H. Zhao


Is Justice Really Blind? And Is It Also Deaf?
M. Kumar


Is Ideology Infectious? Evidence from Repeated Random Exposure in the U.S. Courts of Appeals


Mitosis of Ideology: Polarization and Dissimilation in the U.S. Courts of Appeals


Precedent vs. Politics? Case Similarity Predicts Supreme Court Decisions Better Than Ideology
E. Ash


Affirm or Reverse? Using Machine Learning To Help Judges Write Opinions
E. Ash


Religious Freedoms, Church-State Separation, and Religiosity: Evidence from Randomly Assigned Judges
E. Ash


Impact of Protest Rights on Protest Rates and Political Accountability
E. Ash; J. Holbein


Law and Norms: A Machine Learning Approach to Predicting Attitudes Towards Abortion
K. Kwan, M. Maass, L. Ortiz


Predicting Punitiveness and Sentencing Disparities from Judicial Corpora
E. Ash


How Prosecutors Exacerbate Racial Disparities: Screening Gaps, Race Effects, and Courtrooms Interactions


White Privilege in Law? The Reproduction of Racial Hierarchy in Sentencing Disparities


Tone of Voice Predicts Political Attitudes: Evidence from U.S. Supreme Court Oral Arguments
Y. Kadiri, Z. Pajor-Gyulai, T. Leble, E. Ash


Using Machine Learning to Detect Human Rights Abuses


Teaching

Incremental AI
Toulouse School of Economics (Executive Education)


Stanford, Georgetown (project advisor)


Natural Language Understanding and Computational Semantics Syllabus
NYU Courant Institute of Mathematics Center for Data Science (G2, Capstone, France) (project advisor)


Law and Economics Reading List
Toulouse School of Economics (G), Summer School: Behavioral Economics and Experimental Research (PhD), ETH Zurich (G1), Duke Law, cross-listed Economics (3L/G1), Duke Law (3L)


Legitimacy, Law, and Recognition-Respect (Heremans Lectures in Law & Economics)
KU Leuven (JD)


Machine Learning, Causal Inference, and Judicial Analytics
Toulouse School of Economics (G1) and (G2)


Machine Learning and Computational Statistics Syllabus
NYU Courant Institute of Mathematics Center for Data Science (G1) (project advisor)


Experimental Economics: Sources of Normativity
Toulouse School of Economics (G1)


Positive Foundations of Normative Commitments
Institutional and Organizational Economics Academy (PhD), Hebrew Law (3L)


Contract Law
Duke Law (1L)


Hermemetrics Lab: The Economics of Interpretation
Harvard Economics (So)


Theorizing Cultural Differences: The Economics of Fundamentalism
University of Chicago Economics (Sr)


Decision Theory
Harvard Engineering Sciences (G1) (teaching fellow)


Data Science Justice Collaboratory


We are always looking for curious, dedicated people interested in getting involved with research at the postdoctoral, doctoral, or pre-doctoral level. See research statement for background on current research. Brief summary of ongoing projects analyzing 12 terabytes of curated archival and administrative data on judges and courts: Slides

Interested graduate and postdoctoral applicants should email a current CV, sample publication or manuscript, short description of research interests (2 pages or less), and names of 3 references. Undergraduate applicants should have a strong mathematical or computational background, broad knowledge in statistical methods, and experience with large data sets. For example, see 2016, 2017, 2018, 2019, and 2020 machine learning projects.

oTree applicants should have Django, Python, and web development experience. Applicants should also have leadership and organizational skills as the position may require playing a leadership role as well as supervising research assistants.


Data


1. Link administrative Medicare data to industry-physician relationships cleaned from litigation settlements (a comprehensive dataset is available through the Affordable Care Act) to examine the impact of disclosure laws and the impact of pharmaceutical company payments to doctors on prescribing, patient outcomes, and patient adherence.


2. Automate advances in high-dimensional econometrics for causal effects of court precedent where judges are randomly assigned. Apply method in legal areas where we have already hand-coded data (sexual harassment, eminent domain, free speech, abortion, church-state separation, affirmative action, gay rights, disability rights, campaign finance, capital punishment, criminal appeals, desegregation, sex discrimination, punitive damages, federalism, National Labor Review Board, environmental protection, National Environmental Policy Act, Federal Communications Commission, Title VII, First Amendment, Eleventh Amendment, standing, contracts, and corporate veil piercing are among the 25 polarized legal areas) to study the channels through which legal regulations have their effects. Use high-frequency data to buttress assumptions of exogeneity and precedence. Examine whether law shapes values and conceptions of rights.


3. Develop oTree for running real-time experiments in lab, online, or via smart device in the field for new ways of measuring preferences. Show, e.g., how presence of deontological commitments can problematize widely used experimental methods involving random lottery incentive and strategy method; theoretically and empirically probe foundations of polarization; test assumptions in private law and judicial decision-making. oTree is open-source and an innovation on zTree.


4. Digitize universe of US Circuit Court cases from 1880 to 2013 (roughly 380,000 cases), the identities of randomly assigned judges sitting on the panels and authoring the opinions, the dissents and concurrences, the judges' biographies, the hand-labeled legal topic, the citation network among the cases, and 2 billion N-grams of up to length eight. Link publicly available Supreme Court datasets, US District docket datasets, geocoded judge seats, biographies of judicial clerks, 5% random sample hand-labeled for hundreds of features including vote ideology, oral arguments, and administrative data from Administrative Office of the US Courts (date of key milestones, e.g., oral arguments, when was the last brief filed, etc.) for measuring priming of identity, implicit bias, peer effects, perfectionism, partisan ways of persuasion, judicial innovation, career incentives, how markets unravel, potential Supreme Court nominees, geometry of law, legal reasoning, fact vs. value, judicial policy levers, and the genealogy of ideologies and schools of thought in temporally and spatially disaggregated text. Use algorithmic mechanism design, LASSO, and automated text analysis for court precedent project and citation data for econometrics of networks.


5. Digitize World War I British archival datasets, including universe of deserters reported in military diaries, police gazettes, and handwritten military trials, commuted and executed capital sentences, geocoded casualties, maps, officer lists, and order of battle to examine the role of legitimacy in legal compliance, effect of the death penalty on British vs. Irish soldiers, and potential long-run impact of demographic violence.


6. Curate universe of administrative data on 1 million refugee asylum and 15 million hearing sessions and their time of day across 50 courthouses and 20 years (with randomly assigned judges), 1 million criminal sentencing decisions in US District Courts from 1992-2009 (with randomly assigned judges), and hand-collected biographical data to study gambler's fallacy, implicit egoism, habit formation, racial contrast, mood, inattention, interpellation, revealed preference indifference, sequence effects, and time of day effects on judges' normative commitments.


7. Link universe of individuals in a district attorney's office over a decade with many stages of random assignment, linked to administrative data on wages, education, credit, among other life outcomes, and past and current addresses for survey follow-up to measure, e.g., name letter effects, how algorithms can reduce disparate impacts and identify noisy characteristics to human decision makers, perceived legitimacy of law using a tool like oTree, and the long-run effects of forced migration.


8. Digitize speech patterns in US Supreme Court oral arguments since 1955 - longitudinal data on speech intonation (linguistic turns) are rare. Link to oral advocates' biographies, faces, clipped identical introductory sentences, and ratings of their traits. Test labor market treatment of mutable characteristics and persuasion, and mimicry between lawyers and Justices and among Justices over time using high-dimensional econometrics.


9. Over 1000 legal databases tagged and linked including all federal (supreme, appellate, district, bankruptcy, tax, patent, trade, customs, claims, unpublished) and state (supreme, appellate, district, tax, chancery, family, labor, unpublished) court cases to the earliest available date (some as early as 1778). Types of databases include code, statutes, bills, regulations, bulletins and notices, commission decisions, Attorney General opinions, rulings, statements, opinion letters, bill tracking, workers' compensation decisions, municipal codes, physician discipline decisions, market conduct examinations, issuances, directives, public health reports, FTC, IRS, EEOC, Department of Labor, Department of Defense, EPA, SEC, Federal Reserve, contract appeals decisions, legislative service, manuals, etc.


10. Case records collected from 24 High Courts and 3000 subordinate courts in India with details on over 8.7 million case records and 67 million hearings. Study (1) impact of court functioning on economic growth and inequality, (2) impact of economics, political, or psychological factors on court outcomes, (3) impact of court decisions or precedents on individuals' outcomes, and (4) artificial intelligence applications. Analogous datasets from Chile, Peru, Brazil, Bangladesh, Croatia, Kenya, and the Philippines.


Advising (former research group members by cohort)

High School (Montgomery Blair): Tom Chi (Google X Co-Founder), David Rosenberg (Sense Networks and YP Mobile Labs Chief Scientist, Bloomberg Chief Data Scientist)

Undergraduate (Harvard, MIT, UPenn, Zurich): Daniel Brenner (Harvard Applied Mathematics MS), Brian Chen (Harvard Economics PhD, Goldman Sachs), David Costigan (AQR, Harvard Law JD, Harvard Statistics MS), Colin Cross (Google), Cheng Gao (Harvard Business School PhD, Michigan Business School tenure-track), Will Gaybrick (Yale JD, Hunch Founder, Thrive Capital Partner, Stripe CFO/CPO), Ronald Kamdem (Morgan Stanley), Scott Kominers (Harvard Business School PhD, Chicago Becker Friedman, Junior Society of Fellows, Harvard Business School tenure-track), Da Lin (Harvard Applied Mathematics MS, Harvard JD, Harvard Climenko, Richmond Law tenure-track), Raphael Nehmer (LSE Mathematical Economics MSc), Eric Reinhart (Harvard Social Anthropology PhD, University of Chicago MD, Chicago Psychoanalytic Institute, School of the Art Institute of Chicago lecturer), Natalia Rigol (MIT Economics PhD, Harvard Business School tenure-track), Tarun Singh (Google), Chris Wickens (Microsoft, oTree), Chengzi Xu (Harvard Economics PhD, Stanford Business School tenure-track), Josh Zagorsky (Zagaron Founder/CEO)

Pre-doc (ETH, Michigan): Luca Braghieri (Stanford Economics PhD), Stefan Bucher (NYU Economics PhD), Sarah Eichmeyer (Stanford Economics PhD), Linfeng Li (Michigan Information PhD), Kelly Reeves (ETH Zurich Biostatistics MS), Alexander Sandukovskiy (biotech startup), Florian Schneider (Zurich Economics PhD), Michal Zator (Northwestern MEDS PhD)

Master (Duke, ENS-Cachan, NYU, Toulouse, Zurich): Aroha Bahuguna (World Bank), Matthew Dunn (LivePerson Chief Data Scientist), Manish Kumar (Google Brain), Li Li (Duke Economics PhD), Shuya Li (Carnegie Mellon Economics PhD), Yutong Li (Boston University Business PhD), Wei Lu (Toronto Business PhD), Martin Mugnier (ENS Ecole Polytechnique Econometrics PhD), Adithya Parthasarathy (Facebook), Shivam Verma (Twitter), Phil Yeres (Nvidia), Yichong Zhang (Duke Economics PhD, Sinagpore Management University tenure-track)

Law (Duke): Alberto Araiza (Morrison & Foerster), Taylor Auten (Sullivan & Cromwell), Marc Collier (Gibson Dunn), Ned Dix (Covington & Burling), Michael Mooney (Eleventh Circuit Clerkship), Jennifer Swearingen (Southern District of New York Clerkship, Quinn Emmanuel)

Doctoral (Berkeley, Harvard, ETH, NYU): Carlos Berdejo (Loyola Law tenure), Jens Frankenreiter (Harvard LLM, Max Planck Institute, Columbia Law Fellow), John Horton (NYU Stern tenure-track, MIT Sloan tenure-track), Vardges Levonyan (Zurich Economics post-doc), David Rand (Yale Psychology/Economics/Cognitive Science tenure, MIT Sloan tenure), Levent Sagun (Simons Collaboration on Cracking the Glass Problem, Facebook AI), Jasmin Sethi (Tenth Circuit Clerkship, Securities and Exchange Commission, Blackrock), Aaron Shaw (Northwestern Sociology/Communications tenure-track)

Postdoc (Chicago, Duke, ETH, EUI, Harvard, Princeton, Toulouse, Warwick): David Abrams (University of Pennsylvania Law, Business Economics, Public Policy tenure), Elliott Ash (Warwick Economics tenure-track, ETH Zurich Law, Economics, Data Science tenure-track), Charlotte Cavaille (Georgetown Policy tenure-track, Michigan Policy tenure-track), Glenn Cohen (Harvard Law tenure), Damian Kozbur (Zurich Economics tenure-track), Markus Loecher (Berlin HWR Statistics tenure), Moti Michaeli (Haifa Economics tenure-track), Arianna Ornaghi (British Academy), Arnaud Philippe (Bristol Economics tenure-track), Martin Schonger (Lucerne tenure-track), Glen Taksler (Cleveland Clinic tenure-track), Susan Yeh (George Mason Law tenure-track, Charles River Associates)


oTree

(last update in 2016) oTree is used in Australia (Melbourne, Newcastle, Perth, Queensland), Austria (Innsbruck, Vienna), Belgium (Leige), Canada (Guelph, Toronto), China (Beijing), Czech (Prague), Finland (Aalto), France (CReA Defense, Lille, Montpellier, Nice, Toulouse), Germany (GfK Marketing Research, Mannheim, Munich), Hungary (Academy of Sciences), Italy (Bologna, European University Institute), Japan (Tokyo), Kenya (Nairobi), Korea (Seoul), Netherlands (Amsterdam, Maastricht, Nijmegen, Tilburg, United Nations University, Utrecht), Norway (Norwegian School of Economics), Russia (RANEPA), South Africa (Pretoria), Spain (Madrid, Malaga, Valencia, Zaragoza), Sweden (Gothenburg, Stockholm), Switzerland (ETH, Geneva, Lausanne, Zurich), U.K. (Cambridge, Lancaster, Oxford), and U.S. (Boston College, Carnegie-Mellon, Colby, Columbia, Google, Iowa State, Michigan State, Northwestern, NYU, Ohio State, Princeton, Treasury Department, UC-Irvine, UCSC, UCSD, University of Chicago, Vanderbilt, Stanford, Yale), in conjunction with ERC Horizon 2020 project to design software for large-scale networks, voting, macroeconomics, and mixed agent-based experiments in economics and psychology, and used with subject recruitment platform for global experiments. https://groups.google.com/forum/#!forum/otree; https://github.com/oTree-org; https://pypi.python.org/pypi/otree-core/0.5.0.dev5

Contact


Daniel L Chen
21 allée de Brienne
31015 Toulouse Cedex 6
France
Google scholar profile

SSRN