Computational Antitrust: An Introduction and Research Agenda

Stanford Computational Antitrust (Vol. 1) 2021

15 Pages Posted: 19 Jan 2021

See all articles by Thibault Schrepel

Thibault Schrepel

Stanford University's Codex Center; Utrecht University School of Law; University Paris 1 Panthéon-Sorbonne; Sciences Po

Date Written: January 15, 2021

Abstract

Computational antitrust is a new domain of legal informatics which seeks to develop computational methods for the automation of antitrust procedures and the improvement of antitrust analysis. The present article first introduces it, then explores how agencies, policymakers, and market participants can benefit from it. Against this background, it sets out a research agenda for the years ahead in view of providing answers to the challenges created by computational antitrust, and better understand its limits.

Keywords: computational antitrust, antitrust, computational law, artificial intelligence, algorithms, machine learning

JEL Classification: K21, D40, D21, E30, E37, K23, L10, L40, L21, L43, L44, L50

Suggested Citation

Schrepel, Thibault, Computational Antitrust: An Introduction and Research Agenda (January 15, 2021). Stanford Computational Antitrust (Vol. 1) 2021, Available at SSRN: https://ssrn.com/abstract=3766960

Thibault Schrepel (Contact Author)

Stanford University's Codex Center ( email )

559 Nathan Abbott Way
Stanford, CA 94305-8610
United States

Utrecht University School of Law ( email )

Janskerkhof 3
Utrecht, 3512 BK
Netherlands

University Paris 1 Panthéon-Sorbonne ( email )

France

Sciences Po ( email )

27 rue Saint-Guillaume
Paris Cedex 07, 75337
France

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