Daniel L. Chen

Biography

His research has been accepted in leading economics journals (American Economic Review, Econometrica, Quarterly Journal of Economics, and Journal of Political Economy), computer science journals (Journal of Machine Learning Research), and peer-review law outlets (Stanford-Yale Junior Faculty Forum and Law and STEM Junior Faculty Forum). The research has anchored successful applications with € 3 200 000 in grant budget awarded for “Origins and Effects of Normative Commitments”, “Positive Foundations of Normative Commitments”, and “Digital Humanities: Legal Analysis in a Big Data World” and received support from the European Research Council Consolidator Grant, Swiss National Science Foundation, and Agence Nationale de la Recherche. His work has also been supported by the MacArthur Foundation, Ewing Marion Kauffman Foundation, Social Science Research Council, Templeton Foundation, Earhart Foundation, Institute for Humane Studies, National Institute of Child Health and Human Development, National Institutes of Health, and National Science Foundation.

Research Interest

To answer these questions, his research has curated 4 terabytes of archival and administrative data on judges and courts where normative ideas incubate; the data bridge machine learning, causal inference, and normative theories of justice regarding equal treatment before the law and equality based on recognition of difference; and developed a programming language to study normative commitments in experiments, now used in 23 countries, 10 academic disciplines, private and public sectors, and local high schools.