Thomas Christiano, “Fairness in Voluntary Transactions and the All Affected Principle”, in All Affected Principle, Dannielle Allen, Archon Fung, and Tomer Perry (eds.), Cambridge University Press, March 2018.

Ramya Vunikili, Hitesh Ochani, Divisha Jaiswal, Richa Deshmukh, Daniel L. Chen, and Elliott Ash, “Analysis of Vocal Implicit Bias in SCOTUS Decisions Through Predictive Modelling”, in Proceedings of Experimental Linguistics, 2018, revised June 10, 2026.

Thomas Christiano, “The Wage Setting Process: A Democratic Conception of Fair Market Exchange”, Erasmus Journal of Philosophy and Economics, vol. 11, n. 2, Fall 2018, pp. 57–84.

K.J. Martijn Cremers, and Simone M. Sepe, “Investors’ Time Preferences and Corporate Governance”, Seattle University Law Review, vol. 41, n. 2, 2018, pp. 387–418.

Elliott Ash, and Daniel L. Chen, “What Kind of Judge is Brett Kavanaugh?: A Quantitative Analysis”, Cardozo Law Review, 2018, pp. 70–100.

Daniel L. Chen, Matt Dunn, Levent Sagun, and Hale Sirin, “Early Predictability of Asylum Court Decisions”, in Proceedings of the ACM Conference on AI and the Law, revised June 10, 2026.

Daniel L. Chen, and Jess Eagel, “Can Machine Learning Help Predict the Outcome of Asylum Adjudications?”, in Proceedings of the ACM Conference on AI and the Law, 2018, revised June 10, 2026.

Daniel L. Chen, Jacob Phillips, and Alan Yu, “Non-Segmental Conditioning of Sibilant Variation in American English”, in Proceedings of the 9th International Conference on Speech Prosody, 2018.

K.J. Martijn Cremers, Saura Masconale, and Simone M. Sepe, “CEO Pay Redux”, Texas Law Review, vol. 96, n. 2, December 2017.

Marcel Boyer, Thomas W. Ross, and Ralph Winter, “The Rise of Economics in Competition Policy:: A Canadian Perspective”, Canadian Journal of Economics, Toronto, vol. 50, n. 5, December 2017, pp. 1489–1524.