
Stanford Computational Antitrust
The podcast that explores how computational tools impact antitrust analyses and procedures. Hosted by Dr. Thibault Schrepel.
Latest episodes

Nov 14, 2022 • 47min
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

Sep 20, 2022 • 42min
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

Aug 15, 2022 • 36min
Episode 13: Complexity Science, Blockchain, and Computational Antitrust (John McCaskill)
In this episode 13, Thibault Schrepel discusses Stanford Computational Antitrust's newest article, “Antitrust Policy and Blockchain Technology: An Exploration from the Complex Systems Perspective”, with John McCaskill // Read the article at https://law.stanford.edu/computationalantitrust

Jul 20, 2022 • 35min
Episode 12: The Adoption of Computational Antitrust by Agencies: 2021 Report (Teodora Groza)
In this episode 12, Thibault Schrepel discusses Stanford Computational Antitrust's annual report, “The Adoption of Computational Antitrust by Agencies: 2021 Report”, with Teodora Groza, our Editor-in-Chief // Read the report at https://law.stanford.edu/computationalantitrust

May 25, 2022 • 40min
Episode 11: Prospects and Limits of Merger Simulations as a Computational Antitrust Tool (Oliver Budzinski)
In this episode 11, Thibault Schrepel discusses Stanford Computational Antitrust's newest article, “Prospects and Limits of Merger Simulations as a Computational Antitrust Tool”, with Oliver Budzinski // Read the article at https://law.stanford.edu/computationalantitrust

Apr 27, 2022 • 50min
Episode 10: Discussing The Legitimacy of Digital Market Surveillance (Goanta & Spanakis)
In this episode 10, Thibault Schrepel discusses Stanford Computational Antitrust's newest article, “Discussing The Legitimacy of Digital Market Surveillance”, with Catalina Goanta & Jerry Spanakis // Read the article at https://law.stanford.edu/computationalantitrust

Mar 31, 2022 • 38min
Episode 9: Algorithmic Governance in Computational Antitrust (Marcela Mattiuzzo)
In this episode 9, Thibault Schrepel discusses Stanford Computational Antitrust's newest article, “Algorithmic Governance in Computational Antitrust”, with its Marcela Mattiuzzo // Read the article at https://law.stanford.edu/computationalantitrust

Mar 24, 2022 • 34min
Episode 8: Antitrust by Algorithm (Cary Coglianese)
In this episode 8, Thibault Schrepel discusses Stanford Computational Antitrust's newest article, “Antitrust by Algorithm” with Cary Coglianese (Penn) // Read the article at https://law.stanford.edu/computationalantitrust

Dec 16, 2021 • 47min
Episode 7: Micro-Directives and Computational Merger Review (Casey & Niblett)
In this episode 7, Thibault Schrepel discusses Stanford Computational Antitrust's newest article, "Micro-Directives and Computational Merger Review", with its co-authors, Anthony J. Casey & Anthony Niblett // Read the article at https://law.stanford.edu/computationalantitrust

Oct 11, 2021 • 40min
Episode 6: Doctrinal Implications of Computational Antitrust (Chang, McCabe, Ren, Beckelhimer & Lee)
In this episode 6, Thibault Schrepel discusses Stanford Computational Antitrust's newest article, "Doctrinal Implications of Computational Antitrust", with its co-authors, Felix B. Chang, Erin McCabe, Zhaowei Ren, Joshua Beckelhimer, and James J. Lee.