Stanford Computational Antitrust
By Thibault Schrepel
Stanford Computational AntitrustSep 20, 2022
Episode 24: Cani Fernández on Computational Antitrust in Spain
In episode 24, Thibault Schrepel talks to Cani Fernández, President of the National Commission for Markets and Competition in Spain. They discuss how computational antitrust can help explore the full scope of the consumer welfare standard, the role lawyers can play, where Cani Fernández will invest resources in the coming years, what she has done to ensure that the agency's computer scientists work with lawyers and vice versa, how computational tools can contribute to better coordination between competition law and regulation, how she deals with companies with large or small computational capabilities, and more. We hope you enjoy the conversation. Follow Stanford Computational Antitrust at https://law.stanford.edu/computationalantitrust.
Episode 23: Eleanor Fox on Global Computational Antitrust
In this episode 23, Teodora Groza & Thibault Schrepel talk with Eleanor Fox (NYU) about why, how, and when to use computational antitrust in the Global South. They also discuss institutional design, ideology in antitrust, and more. Follow Stanford Computational Antitrust at https://law.stanford.edu/computationalantitrust.
Episode 22: Bill Kovacic on How To Design an Antitrust Agency 3.0
In this episode 22, Teodora Groza & Thibault Schrepel talk with Bill Kovacic about what it takes for antitrust agencies to implement computational antitrust (aka “antitrust 3.0”). Follow Stanford Computational Antitrust at https://law.stanford.edu/computationalantitrust.
Episode 21: Using Machine Learning to Detect Tacit Collusion (Brown et al.)
In this episode 21, Thibault Schrepel talks to David P. Brown, Daniel O. Cajueiro, Andrew Eckert, and Douglas Silveira about their article entitled "Information and Transparency: Using Machine Learning to Detect Communication Between Firms" (freely available at https://law.stanford.edu/computationalantitrust)
Episode 20: European Protectionism in Antitrust (Bosch & Bostoen)
Episode 19: Computational Antitrust Within Antitrust Agencies (Schrepel & Groza)
In this episode 19, Thibault Schrepel & Teodora Groza discusses Stanford Computational Antitrust's 2nd annual report, which includes contributions from 26 antitrust agencies // Read the report at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4476321
Episode 18: Automating Competition Law Enforcement (Hofmann & Lorenzoni)
In this episode 18, Thibault Schrepel discusses Stanford Computational Antitrust's newest article, “Future Challenges for Automation in Competition Law Enforcement,” with Herwig C.H. Hofmann & Isabella Lorenzoni // Read the article at https://law.stanford.edu/computationalantitrust and register to our OECD live streamed event on June 15 at https://bit.ly/3M0mZt6.
Episode 17: Antitrust APIs and Antitrust Limits (Thibault Schrepel)
In this episode 17, Teodora Groza discusses Stanford Computational Antitrust's newest article, “The Making of An Antitrust API: Proof of Concept,” with Thibault Schrepel // Read the article at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4241927 and visit the project website at https://law.stanford.edu/computationalantitrust
Episode 16: Deploying Network Analysis in Antitrust Law (French Comp. Agency)
In this episode 16, Thibault Schrepel discusses Stanford Computational Antitrust's newest article, “Deploying Network Analysis in Antitrust Law,” with Yann Guthmann & Adrien Frumence (French Competition Agency) // Read the article at https://law.stanford.edu/computationalantitrust
Episode 15: Measuring Economic Analysis in Antitrust Law (Siying Cao)
In this episode 15, Thibault Schrepel discusses Stanford Computational Antitrust's newest article, “Economic Analysis in Antitrust Law: An Automated Approach Applied to U.S. Appellate Courts”, with Siying Cao // Read the article at https://law.stanford.edu/computationalantitrust
Episode 14: Cartel Screening and Machine Learning (Harrington & Imhof)
In this episode 14, Thibault Schrepel discusses Stanford Computational Antitrust's newest article, “Cartel Screening and Machine Learning”, with Joseph E. Harrington, Jr. & David Imhof // Read the article at https://law.stanford.edu/computationalantitrust