Daniel L. Chen

Daniel L. Chen, Manoj Kumar, Vishal Motwani, and Philip Yeres, “Is Justice Really Blind? And Is It Also Deaf?”, Computational Analysis of Law, 2023, forthcoming.

Daniel L. Chen, and Arianna Ornaghi, “Gender Attitudes in the Judiciary: Evidence from U.S. Circuit Courts”, American Economic Journal: Applied Economics, 2023, forthcoming.

Ori Plonsky, Daniel L. Chen, Liat Netzer, Talya Steiner, and Yuval Feldman, “Motivational Drivers for Serial Position Effects in High-Stakes Legal Decisions”, Journal of Applied Psychology, 2023, forthcoming.

Daniel L. Chen, and Martin Schonger, “Social preferences or sacred values? Theory and evidence of deontological motivations”, Science Advances, vol. 8, n. 19, May 2022.

Elliott Ash, Daniel L. Chen, and Sergio Galletta, “Measuring Judicial Sentiment: Methods and Application to US Circuit Courts”, Economica, vol. 89, n. 354, April 2022, pp. 362–376.

Daniel L. Chen, Jiafeng Chen, and Gregory Lewis, “Mostly Harmless Machine Learning: Learning Optimal Instruments in Linear IV Models”, Journal of Machine Learning Research, 2022, forthcoming.

Eric Reinhart, and Daniel L. Chen, “Association of Jail Decarceration and Anticontagion Policies With COVID-19 Case Growth Rates in US Counties”, JAMA Network Open, September 2021.

Eric Reinhart, and Daniel L. Chen, “Carceral-community epidemiology, structural racism, and COVID-19 disparities”, Proceedings of the National Academy of Sciences of the United States of America, vol. 118, n. e2026577118, May 2021.

Camille Terrier, Daniel L. Chen, and Matthias Sutter, “COVID-19 within families amplifies the prosociality gap between adolescents of high and low socioeconomic status”, Proceedings of the National Academy of Sciences of the United States of America, vol. 118, n. 46 (e2110891118), 2021.

Sandeep Bhupatiraju, and Daniel L. Chen, “The Process of Machine Learning for the Courts of India”, National Law School of India Review, vol. 33, n. 2, 2021.

Yu Cao, Elliott Ash, and Daniel L. Chen, “Automated fact-value distinction in court opinions”, European Journal of Law and Economics, vol. 50, December 2020, pp. 451–467.

Daniel L. Chen, “Gender Violence and the Price of Virginity: Theory and Evidence of Incomplete Marriage Contracts”, Journal of Religion and Demography, vol. 7, n. 2, October 2020, pp. 190–221.

Boris Babic, Daniel L. Chen, Theodoros Evgeniou, and Anne-Laure Fayard, “A Better Way to Onboard AI”, Harvard Business Review, vol. 98, n. 4, August 2020, pp. 56–65.

Eric Reinhart, and Daniel L. Chen, “Incarceration And Its Disseminations: COVID-19 Pandemic Lessons From Chicago’s Cook County Jail”, Health Affairs, vol. 39, n. 8, August 2020.

Boris Babic, Daniel L. Chen, Theodoros Evgeniou, and Anne-Laure Fayard, “A Better Way to Onboard AI”, Harvard Business Review, August 2020.

Daniel L. Chen, Vardges Levonyan, S.Eric Reinhart, and Glen Taksler, “Mandatory Disclosure: Theory and Evidence from Industry-Physician Relationships”, Journal of Legal Studies, vol. 48, n. 2, June 2019, pp. 409–440.

Daniel L. Chen, “Judicial Analytics and the Great Transformation of American Law”, Artificial Intelligence and the Law, vol. 27, n. 1, March 2019, pp. 15–42.

Daniel L. Chen, “Machine Learning and Rule of Law”, Computational Analysis of Law, vol. 27, n. 1, March 2019, pp. 15–42.

Daniel L. Chen, “Law and Literature: Theory and Evidence on Empathy and Guile”, Review of Law and Economics, vol. 15, n. 1, March 2019.

Daniel L. Chen, Charlotte Cavaillé, and Karine Van Der Straeten, “A Decision-Theoretic Approach to Understanding Survey Response: Likert vs. Quadratic Voting for Attitudinal Research”, The University of Chicago Law Review, vol. 22, n. Online, 2019.