Boris Babic, Daniel L. Chen, Theodoros Evgeniou et Anne-Laure Fayard, « A Better Way to Onboard AI », Harvard Business Review, vol. 98, n° 4, août 2020, p. 56–65.
Eric Reinhart et Daniel L. Chen, « Incarceration And Its Disseminations: COVID-19 Pandemic Lessons From Chicago’s Cook County Jail », Health Affairs, vol. 39, n° 8, août 2020, p. 1412–1418.
Nischal Mainali, Liam Meier, Elliott Ash et Daniel L. Chen, « Automated Classification of Modes of Moral Reasoning in Judicial Decisions », dans Computational Legal Studies: The Promise and Challenge of Data-Driven Research, sous la direction de Ryan Whalen, 2020.
Daniel L. Chen, Vardges Levonyan, S.Eric Reinhart et Glen Taksler, « Mandatory Disclosure: Theory and Evidence from Industry-Physician Relationships », Journal of Legal Studies, vol. 48, n° 2, juin 2019, p. 409–440.
Daniel L. Chen, « Judicial Analytics and the Great Transformation of American Law », Artificial Intelligence and the Law, vol. 27, n° 1, mars 2019, p. 15–42.
Daniel L. Chen, « Law and Literature: Theory and Evidence on Empathy and Guile », Review of Law and Economics, vol. 15, n° 1, mars 2019.
Daniel L. Chen, « Intermediated Social Preferences: Altruism in an Algorithmic Era », dans Advances in Economics of Religion, sous la direction de Jean-Paul Carvalho, Sriya Iyer et Jared Rubin, Palgrave Macmillan, collection « International Economic Association Series », vol. 158, 2019, p. 119–138.
Daniel L. Chen, « Machine Learning and the Rule of Law », 2019dans Law as Data: Computation, Text, and the Future of Legal Analysis, sous la direction de Michael Livermore et Daniel Rockmore, Santa Fe Institute Press, 2019.
Daniel L. Chen, Yosh Halberstam, Manoj Kumar et Alan Yu, « Attorney Voice and the U.S. Supreme Court », 2019dans Law as Data: Computation, Text, and the Future of Legal Analysis, sous la direction de Michael Livermore et Daniel Rockmore, Santa Fe Institute Press, 2019.
