Charlotte Cavaillé, Daniel L. Chen, and Karine Van Der Straeten, “Who Cares? Measuring Preference Intensity in a Polarized Environment”, IAST Working Paper, n. 22-130, January 2022.
Daniel L. Chen, Moti Michaeli, and Daniel Spiro, “Legitimizing Policy”, IAST working paper, n. 20-107, July 2020.
Michael Becher, and Irene Menendez, “Electoral Reform and Trade-Offs in Representation”, IAST working paper, n. 19-95, January 2019.
Daniel L. Chen, “Attorney Voice and the U.S. Supreme Court”, IAST Working Paper, n. 18-91, December 2018.
Elliott Ash, Daniel L. Chen, Nischal Mainali, and Liam Meier, “Automated Classification of Modes of Moral Reasoning in Judicial Decisions”, IAST Working Paper, n. 18-92, December 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”, IAST Working Paper, n. 18-94, December 2018.
Daniel L. Chen, “Judicial Analytics and the Great Transformation of American Law”, IAST Working Paper, n. 18-87, December 2018.
Daniel L. Chen, “Machine Learning and Rule of Law”, IAST Working Paper, n. 18-88, December 2018.
Charlotte Cavaillé, Daniel L. Chen, and Karine Van Der Straeten, “Towards a General Theory of Survey Response: Likert Scales Vs. Quadratic Voting for Attitudinal Research”, IAST Working Paper, n. 18-93, November 2018, revised January 2019.
Elliott Ash, Daniel L. Chen, Raul Delgado, Eduardo Fierro, and Shasha Lin, “Learning Policy Levers: Toward Automated Policy Analysis Using Judicial Corpora”, IAST working paper, n. 18-90, August 2018.
