Dr. Thibault Schrepel, LL.M., is an Associate Professor of Law at VU Amsterdam University where he co-directs the Amsterdam Law & Technology Institute, and a Faculty Affiliate at Stanford University CodeX Center where he has created the “Computational Antitrust” project that brings together over 60 antitrust agencies. Thibault also holds research and teaching positions at the University Paris 1 Panthéon-Sorbonne and Sciences Po Paris. He is a Harvard University Berkman Center alumnus, a member of the French Superior Audiovisual Council’s scientific board, also, a blockchain expert appointed to the World Economic Forum and the World Bank. In 2018, Thibault was granted the “Academic Excellence” Global Competition Review Award, which recognizes “an academic competition specialist who has made an outstanding contribution to competition policy.” He has published a first manuscript (Bruylant ed.) on the subject of “predatory innovation in antitrust law” and articles at Harvard University, Stanford, MIT, Oxford, NYU, Berkeley, and Georgetown, among others. These last couple of years, Thibault has been focusing most of his research on blockchain antitrust and computational antitrust. He has written the world’s most downloaded antitrust articles of 2018 (“The Blockchain Antitrust Paradox”), 2019 (“Collusion by Blockchain and Smart Contracts”), 2020 (“Blockchain Code as Antitrust”), and 2021(“Computational Antitrust : An Introduction and Research Agenda”). His latest book, “Blockchain + Antitrust”, was published in September 2021.
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Algorithmic antitrust is almost everywhere ! It’s in the doctrine ; to start with, Google Scholar features more than 16,000 related articles. It’s also in competition agencies and international institutions which have published numerous reports on the subject. Where it is not, however, is in (...)
We often talk about “history books” as if such things still existed, or mattered. Oh well, for what it’s worth, let me discuss the first (U.S.) case of blockchain antitrust. We long thought United American Corp. v. Bitmain was the one (read). In this case (filed in December 2018), United (...)
Baseball’s Yogi Berra once observed that “it is difficult to make predictions, especially about the future.” Scholars, policymakers, computer engineers, practitioners and others will surely agree that legal rules and standards for generative AI (“genAI”) should not be based on mere (...)
Le 4 décembre 2013, la Commission européenne a infligé des amendes à hauteur de 1,71 milliard d’euros sur le fondement de l’article 101 du TFUE à huit institutions financières internationales ayant pris part à des ententes illicites sur les marchés des produits dérivés financiers couvrant (...)
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