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5 Stan. Computational Antitrust 1 (2025)

handle is hein.journals/stfdcmp5 and id is 1 raw text is: ANNUAL REPORT Computational Antitrust Worldwide: Fourth Cross-Agency Report Thibault Schrepel* & Teodora Groza** (editors) Abstract. This fourth-annual report distils insights from 25 antitrust agencies and shows a shared, global move toward data-centered enforcement. Agencies highlight three converging priorities: first, the deployment of AI and advanced analytics that range from bid-rigging screens to graph neural networks to detect cartels, merger risks and other infringements; second,investment in robust data infrastructure such as web-scrape pipelines, procurement databases and secure e-discovery systems that convert vast public and corporate datasets into reliable evidence; and third, deep institutional change led by new digital units, open-source collaborations and practitioner toolkits that embed computational methods in everyday competition policy. Three key challenges stand out: the necessity of secure cloud computing, the need to ensure the explainability of deployed computational tools, and the imperative to improve human-machine interaction. * Associate Professor at the Vrije Universiteit Amsterdam; Faculty Affiliate at Stanford University CodeX Center (creator of the Stanford Computational Antitrust project). ** Research fellow for the TrackAl project co-hosted by Sciences Po Law School and Stanford University CodeX Center.