The Adoption of Computational Antitrust by Agencies: 2021 Report
2 Stanford Computational Antitrust, 78 (2022)
39 Pages Posted: 24 Jun 2022
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: 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), Available at SSRN: https://ssrn.com/abstract=4142225
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