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.

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

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.

Nischal Mainali, Liam Meier, Elliott Ash, and Daniel L. Chen, “Automated Classification of Modes of Moral Reasoning in Judicial Decisions”, in Computational Legal Studies: The Promise and Challenge of Data-Driven Research, Ryan Whalen (ed.), 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, “Law and Literature: Theory and Evidence on Empathy and Guile”, Review of Law and Economics, vol. 15, n. 1, March 2019.

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, 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.

Daniel L. Chen, “Intermediated Social Preferences: Altruism in an Algorithmic Era”, in Advances in Economics of Religion, Jean-Paul Carvalho, Sriya Iyer, and Jared Rubin (eds.), Palgrave Macmillan, series “International Economic Association Series”, vol. 158, 2019, pp. 119–138.

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.