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Stanford Computational Antitrust

Stanford Computational Antitrust

By Thibault Schrepel

The podcast that explores how computational tools impact antitrust analyses and procedures. Hosted by Dr. Thibault Schrepel.
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Episode 1: Gleaning Insight from Antitrust Cases Using Machine Learning (Massarotto & Ittoo)

Stanford Computational AntitrustMar 05, 2021

00:00
35:41
Episode 24: Cani Fernández on Computational Antitrust in Spain

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.

Apr 09, 202441:10
Episode 23: Eleanor Fox on Global Computational Antitrust

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.

Mar 28, 202437:35
Episode 22: Bill Kovacic on How To Design an Antitrust Agency 3.0

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.

Jan 30, 202442:45
Episode 21: Using Machine Learning to Detect Tacit Collusion (Brown et al.)

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)

Jan 29, 202427:51
Episode 20: European Protectionism in Antitrust (Bosch & Bostoen)

Episode 20: European Protectionism in Antitrust (Bosch & Bostoen)

In this episode 20, Thibault Schrepel talks to Bruno Van den Bosch and Friso Bostoen about their article entitled "Opening the Black Box: Uncovering the European Commission’s Cartel Fining Formula Through Computational Analysis" (https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4232335)
Aug 30, 202336:48
Episode 19: Computational Antitrust Within Antitrust Agencies (Schrepel & Groza)
Jul 05, 202331:06
Episode 18: Automating Competition Law Enforcement (Hofmann & Lorenzoni)
May 08, 202340:08
Episode 17: Antitrust APIs and Antitrust Limits (Thibault Schrepel)

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

Mar 06, 202330:37
Episode 16: Deploying Network Analysis in Antitrust Law (French Comp. Agency)
Jan 30, 202331:50
Episode 15: Measuring Economic Analysis in Antitrust Law (Siying Cao)

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

Nov 14, 202247:19
Episode 14: Cartel Screening and Machine Learning (Harrington & Imhof)

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

Sep 20, 202242:00
Episode 13: Complexity Science, Blockchain, and Computational Antitrust (John McCaskill)
Aug 15, 202235:40
Episode 12: The Adoption of Computational Antitrust by Agencies: 2021 Report (Teodora Groza)
Jul 20, 202234:34
Episode 11: Prospects and Limits of Merger Simulations as a Computational Antitrust Tool (Oliver Budzinski)
May 25, 202239:38
Episode 10: Discussing The Legitimacy of Digital Market Surveillance (Goanta & Spanakis)

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
Apr 27, 202249:54
Episode 9: Algorithmic Governance in Computational Antitrust (Marcela Mattiuzzo)
Mar 31, 202237:31
Episode 8: Antitrust by Algorithm (Cary Coglianese)
Mar 24, 202233:58
Episode 7: Micro-Directives and Computational Merger Review (Casey & Niblett)

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
Dec 16, 202147:20
Episode 6: Doctrinal Implications of Computational Antitrust (Chang, McCabe, Ren, Beckelhimer & Lee)

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.
Oct 11, 202139:52
Episode 5: A Computational Analysis of the DSA and DMA (Di Porto, Grote, Volpi & Invernizzi)

Episode 5: A Computational Analysis of the DSA and DMA (Di Porto, Grote, Volpi & Invernizzi)

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.
Sep 02, 202133:24
Episode 4: Antitrust Enforcement and Big Tech (Himes, Nieh & Schnell)

Episode 4: Antitrust Enforcement and Big Tech (Himes, Nieh & Schnell)

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.
Jun 10, 202136:14
Episode 3: Time for a New Antitrust Era (Mahari, Lera & Pentland)

Episode 3: Time for a New Antitrust Era (Mahari, Lera & Pentland)

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.
May 03, 202139:26
Episode 2: Can Computational Antitrust Succeed? (Daryl Lim)

Episode 2: Can Computational Antitrust Succeed? (Daryl Lim)

In this episode 2, Thibault Schrepel discusses Stanford Computational Antitrust's newest article, "Can Computational Antitrust Succeed?", with its author, Daryl Lim.
Apr 09, 202144:07
Episode 1: Gleaning Insight from Antitrust Cases Using Machine Learning (Massarotto & Ittoo)

Episode 1: Gleaning Insight from Antitrust Cases Using Machine Learning (Massarotto & Ittoo)

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).
Mar 05, 202135:41
Episode 0: Introducing Computational Antitrust (Thibault Schrepel)

Episode 0: Introducing Computational Antitrust (Thibault Schrepel)

In this episode 0, Thibault Schrepel introduces the Stanford Computational Antitrust podcast. He also discusses computational antitrust potential and limits.
Feb 25, 202107:36