Daniel L. Chen, and Elliott Ash, “Case Vectors: Spatial Representations of the Law Using Document Embeddings”, Law as Data, vol. 11, 2019.

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.

Aurélie Ouss, and Arnaud Philippe, “No Hatred or Malice, Fear or Affection": Media and Sentencing”, Journal of Political Economy, vol. 126, n. 5, October 2018, pp. 2134–2178.

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.

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, 2018.

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.

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.

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.

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.