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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.