Explore every episode of the podcast Stanford Computational Antitrust

In this episode 26, Thibault Schrepel talks to Ulrich Wohak about his article (co-authored with Klaus Gugler and Florian Szücs) entitled “Using Natural Language Processing to Delineate Digital Markets” (freely available at https://law.stanford.edu/computationalantitrust)

In this episode 25, Teodora Groza & Thibault Schrepel talk with Erik Brynjolfsson (Stanford University) about how antitrust agencies can document market dynamism, gain a better understanding of the digital economy using the GDP-B measure, track AI dynamics, and more. Follow Stanford Computational Antitrust at https://law.stanford.edu/computationalantitrust

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

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

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

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

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

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

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

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

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 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.

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.

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.

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.

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)

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)

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

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.

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

In this episode 28, Thibault Schrepel talks to Mariateresa Maggiolino (Università Bocconi) about her article entitled "Antitrust Concepts and Artificial Intelligence: The Case of Plausibility".

In episode 27, Thibault Schrepel and Teodora Groza speak with Angela Zhang, Professor of Law at USC and member of the computational antitrust project advisory board, about the complexities of regulating tech – likening it to high-wire walking. They discuss Angela’s latest book, “High Wire”, China's politicized antitrust enforcement, the potential role of computational tools, and how relationships between regulators and firms, such as Alibaba, differ from the West. The episode also explores how Great Power Competition politicizes antitrust enforcement, with implications for the future use of data-driven tools.

In this episode 29, Thibault Schrepel talks to Philip Hanspach (Bundeskartellamt) about his article entitled "⁠Economics in the Era of Machine Learning — What Do Competition Lawyers Need to Know?".

In this episode, Thibault Schrepel & Teodora Groza talk to Martijn Snoep, Chairman of the Netherlands Authority for Consumers and Markets ("ACM"), about how his agency is relying on computational antitrust.

In episode 30, Teodora Groza and Thibault Schrepel talk to Mahmoud A. Momtaz, Chairman of the Egyptian Competition Authority ("ECA") since January 2021. They discuss the challenges and opportunities facing the ECA, its enforcement strategies, and the role of computational antitrust in modern competition law. Follow the Stanford Computational Antitrust project at https://law.stanford.edu/computationalantitrust.

In episode 33, Thibault Schrepel talks to Natalie Harsdorf, Director General of the Austrian Federal Competition Authority. Thibault and Natalie discuss her priorities at the Austrian Competition Authority, with a focus on the role computational antitrust plays in the agency's strategy and daily operations. They also cover how international cooperation in antitrust is evolving and explore what the future might hold for competition policy. Follow the Stanford Computational Antitrust project at https://law.stanford.edu/computationalantitrust.

In episode 32, Thibault Schrepel and Teodora Groza speak with Cary Coglianese, Edward B. Shils Professor of Law and Professor of Political Science at the University of Pennsylvania Law School. They talk about Cary's research on the use of AI in public enforcement. Subscribe to our newsletter at https://law.stanford.edu/computationalantitrust for regular updateson the Stanford Computational Antitrust project.

References:

- Leashes, Not Guardrails: A Management-Based Approach to Artificial Intelligence Risk Regulation https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5137081

- Antitrust by Algorithm https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3985553

- Regulating Multifunctionality https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5059426

- From Negative to Positive Algorithm Rights https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4225887

In episode 34, Thibault Schrepel talks to Andy Chen, Vice Chair (and Acting Chair) of the Taiwan Fair Trade Commission.

Thibault and Andy talk about how the TFTC uses computational tools in merger review, price monitoring, and cartel detection. Andy shares insights on the agency’s internal structure, the challenges of explainability, and how computational enforcement might reshape antitrust in Taiwan by 2040.

Follow the Stanford Computational Antitrust project by subscribing to our newsletter at https://law.stanford.edu/computationalantitrust

In episode 35, Thibault Schrepel talks to Kamil Nejezchleb, Vice-chairman of Czech Competition Autority.

Thibault and Andy Kamil explore how the Czech Competition Authority is integrating computational antitrust into its daily operations. They discuss major cases in which such tools have played a role, the internal structure and expertise needed to support the shift to computational antitrust, the legal constraints imposed by Czech administrative and judicial review, and how the agency envisions the future of enforcement, from algorithmic remedies to cross-border data collaboration.

Follow the Stanford Computational Antitrust project by subscribing to our newsletter at ⁠https://law.stanford.edu/computationalantitrust

In episode 36, Thibault Schrepel talks to Nancy Scola, longtime technology and politics journalist & reporter.

Thibault and Nancy discuss stories that deserve more attention from computational antitrust researchers, how institutions adapt (or fail to adapt) to technological change, and how journalism and computational tools can complement one another. They also consider whether “computational antitrust journalist” could become a job description in the future, and other related topics.

Follow the Stanford Computational Antitrust project by subscribing to our newsletter at ⁠https://law.stanford.edu/computationalantitrust

In episode 37, Teodora Groza and Thibault Schrepel talk to Nuno Cunha Rodrigues, President of the Portuguese Competition Authority since 2023. They discuss the tools developed by the agency, how its lawyers work with economists and computer scientists, and the future of the field. Follow the Stanford Computational Antitrust project at https://law.stanford.edu/computationalantitrust

In episode 39, Alba Ribera Martinez and Thibault Schrepel talk to Gustavo Augusto Freitas de Lima, Interim President of Brazil's Competition Agency (CADE).Follow the Stanford Computational Antitrust project at https://law.stanford.edu/computationalantitrust

In episode 38, Thibault Schrepel talks to Alvin Koh, Chief Executive of the Competition and Consumer Commission of Singapore (CCS).

They discuss the creation of the Data and Digital division and the operational role of instruments such as the Complaint Analytics Tool and the AI Verify Toolkit in investigative prioritization and compliance assessment. They also explore the application of computational methods in major enforcement initiatives, including the Grab–Uber merger and the Price Transparency Guidelines, before considering the implications of these practices for the future of competition enforcement in Singapore and the ASEAN region.

Follow the Stanford Computational Antitrust project at ⁠https://law.stanford.edu/computationalantitrust

Can two AI agents fix prices without ever agreeing to? Tanise Brandão and Carlos Neves of Brazi’'s competition agency, CADE, join Thibault Schrepel and Alba Ribera Martínez to walk through their paper on algorithmic collusion.

They put two large language models in a repeated Bertrand duopoly, let them price against each other for 400 rounds, and watch supra-competitive prices emerge on their own. The agents coordinate even when they cannot communicate, and some learn to cover their tracks, with one proposing that they steer clear of red flags.

The conversation turns to why the choice of model and language moves the result, and why the behavior looks less like textbook rationality than a complex dynamical system. It closes on enforcement, where collusion no longer needs a meeting of minds, and Brandão and Neves make the case for shifting liability from whether firms agreed to what they chose to expose themselves to.

• 
  https://law.stanford.edu/publications/smart-agent-based-modelling-with-llms-leveraging-large-language-models-for-a-better-understanding-of-algorithmic-collusion/
• 
  https://www.anthropic.com/research/global-workspace