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

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

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.

In this episode 5, Thibault Schrepel discusses Stanford Computational Antitrust's newest article, "I See Something You Don’t See: A Computational Analysis of The Digital Services Act And The Digital Markets Act", with its co-authors, Fabiana Di Porto, Tatjana Grote, Gabriele Volpi & Riccardo Invernizzi.

In this episode 4, Thibault Schrepel discusses Stanford Computational Antitrust's newest article, "Antitrust Enforcement and Big Tech: After the Remedy Is Ordered", with its co-authors, Jay L. Himes, Jason Nieh & Ron Schnell.

In this episode 3, Thibault Schrepel discusses Stanford Computational Antitrust's newest article, "Time for a New Antitrust Era: Refocusing Antitrust Law to Invigorate Competition in the 21st Century", with its co-authors, Robert Zev Mahari, Sandro Claudio Lera & Alex Pentland.

In this episode 2, Thibault Schrepel discusses Stanford Computational Antitrust's newest article, "Can Computational Antitrust Succeed?", with its author, Daryl Lim.

In this episode 1, Thibault Schrepel discusses Stanford Computational Antitrust's newest article, "Gleaning Insight from Antitrust Cases Using Machine Learning" (with Giovanna Massarotto & Ashwin Ittoo).

In this episode 0, Thibault Schrepel introduces the Stanford Computational Antitrust podcast. He also discusses computational antitrust potential and limits.