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1 Stan. Computational Antitrust 1 (2021)

handle is hein.journals/stfdcmp1 and id is 1 raw text is: ARTICLE Computational Antitrust: An Introduction and Research Agenda Dr. Thibault Schrepel, LL.M.* 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. * Faculty Affiliate at Stanford University CodeX Center (creator of the project on Computational Antitrust), Assistant Professor at Utrecht University School of Law, Associate Researcher at University of Paris t Pantheon-Sorbonne, and Invited Professor at Sciences Po Paris. I express my deepest gratitude to my friend Nicolas Petit for his comments on the draft version of this article. I would also like to thank Catalina Goanta, Kirill Ryabtsev, and Martin James Sicilian for their suggestions, and Roland Vogl for encouraging me to start a new project at the CodeX Center. This article serves as an introduction to it. Lastly, I am grateful that many professors and antitrust agencies have agreed to take part in this project. No outside funding was received or relied upon for this paper.

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