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, pp. 1412–1418.
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, “Law and Literature: Theory and Evidence on Empathy and Guile”, Review of Law and Economics, vol. 15, n. 1, March 2019.
Daniel L. Chen, “Machine Learning and the Rule of Law”, 2019in Law as Data: Computation, Text, and the Future of Legal Analysis, Michael Livermore, and Daniel Rockmore (eds.), Santa Fe Institute Press, 2019.
