Conference on Data Science and Law
August 5-6, 2025
Sponsored by Fordham University, ETH Zurich, and the University of Virginia, the Conference on Data Science and Law aims to showcase the latest research on applying computational methods to empirical legal studies, and convene researchers in this new field. The 3rd iteration of the conference will be held at Fordham Law School in New York, NY from August 5-6, 2025.
Call for Papers
Interest is growing among scholars from a variety of disciplines and across the globe in research at the intersection of data science and law. In recent years, the digitization of legal texts and developments in statistics and computer science have paved the way for new methodological approaches in this area. This constellation of new data and methods has created exciting opportunities for progress on old questions as well as the prospect of opening entirely new areas in empirical legal scholarship.
The 3rd Conference on Data Science and Law will convene researchers across disciplines who are interested in this burgeoning field. Scholars in law, social and behavioral sciences, digital humanities, computer science, machine learning, and data analytics are invited to present works-in-progress in all areas of empirical legal studies that involve big data sources or use data science techniques, including natural language processing, machine learning, algorithmic fairness, topic modeling, or network analysis. The purpose of the conference is to highlight the best and most innovative scholarship in data science and law and to help build an intellectual community in support of this new field. Works that are descriptive in nature are invited as well as research that focuses on causal inference.
The workshop will be held at Fordham Law School in New York City on August 5 – 6, 2025.
Researchers are invited to submit unpublished working papers for presentation at the conference by April 15, 2025.
Papers will be selected through a peer review process. While full drafts are recommended, we will accept and review extended abstracts or slide decks. Acceptance notification will be given by May 1, 2025.
Please submit papers at external page this link.
Please feel free to circulate this call to colleagues or graduate students who may be interested.
On behalf of the organizers,
Elliott Ash, ETH Zurich
external page Mike Livermore, University of Virginia
external page Aniket Kesari, Fordham University
