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, « 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.
Daniel L. Chen et Elliott Ash, « Case Vectors: Spatial Representations of the Law Using Document Embeddings », Law as Data, vol. 11, 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.
Aurélie Ouss et Arnaud Philippe, « No Hatred or Malice, Fear or Affection": Media and Sentencing », Journal of Political Economy, vol. 126, n° 5, octobre 2018, p. 2134–2178.
Thomas Christiano, « Fairness in Voluntary Transactions and the All Affected Principle », dans All Affected Principle, sous la direction de Dannielle Allen, Archon Fung et Tomer Perry, Cambridge University Press, mars 2018.
