The Adoption of Computational Antitrust by Agencies: 2021 Report

2 Stanford Computational Antitrust, 78 (2022)

VU University Amsterdam Legal Studies Paper Series

39 Pages Posted: 24 Jun 2022

See all articles by Thibault Schrepel

Thibault Schrepel

VU University Amsterdam; Stanford University's Codex Center; University Paris 1 Panthéon-Sorbonne; Sciences Po

Teodora Groza

Sciences Po Paris; Sciences Po Law School

Date Written: June 21, 2022

Abstract

In the first quarter of 2022, the Stanford Computational Antitrust project team invited the partnering antitrust agencies to share their advances in implementing computational tools. Here are the results of the survey.

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

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

Suggested Citation

Schrepel, Thibault and Groza, Teodora, The Adoption of Computational Antitrust by Agencies: 2021 Report (June 21, 2022). 2 Stanford Computational Antitrust, 78 (2022), VU University Amsterdam Legal Studies Paper Series, Available at SSRN: https://ssrn.com/abstract=4142225

Thibault Schrepel (Contact Author)

VU University Amsterdam ( email )

De Boelelaan 1105
1081 HV Amsterdam
Netherlands

Stanford University's Codex Center ( email )

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

University Paris 1 Panthéon-Sorbonne ( email )

France

Sciences Po ( email )

27 rue Saint-Guillaume
Paris Cedex 07, 75337
France

Teodora Groza

Sciences Po Paris ( email )

Paris
France
0755871626 (Phone)
75015 (Fax)

Sciences Po Law School ( email )

13 rue de l'Universite
Paris
France

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