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Stanford Computational Antitrust

Thibault Schrepel
Competition Law
Artificial Intelligence
Computational Antitrust
Antitrust
Antitrust Law
Natural Language Processing
Consumer Welfare Standard
Public Procurement
Machine Learning
Spain
Economic Intelligence Unit
Digital Markets
Data Science
Digital Challenges
Computational Tools
Antitrust Analysis
Market Definition
Merger Analysis
Text Data
China

The podcast that explores how computational tools impact antitrust analyses and procedures. Hosted by Dr. Thibault Schrepel.

PublishesInfrequentlyEpisodes41Founded5 years ago
Number of ListenersCategories
ScienceSocial Sciences

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Artwork for Stanford Computational Antitrust

Latest Episodes

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 lan... more

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 law.stanford.edu/computationalan... more

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 Compla... more

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 scientist... more

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Recent Guests

Carlos Eduardo Veras Neves
Professional at CADE, involved in Cerebro project
CADE
Episode: Episode 40: Colluding Without Colluding, How AI Agents Learn to Fix Prices on Their Own
Tanise Brandão-Bussmann
Researcher at CADE, Cerebro project collaborator
CADE
Episode: Episode 40: Colluding Without Colluding, How AI Agents Learn to Fix Prices on Their Own
Gustavo Augusto Freitas de Lima
President of Brazil Computational Agency
CADDI (Brazil Computational Agency)
Episode: Episode 39: Gustavo Augusto Freitas de Lima on Computational Antitrust in Brazil
Alvin Koh
Chief Executive of the Competition and Consumer Commission of Singapore (CCCS/CCS)
Competition and Consumer Commission of Singapore (CCCS/CCS)
Episode: Episode 38: Alvin Koh on Computational Antitrust in Singapore
Nuno Rodrigues
President of the Portuguese Competition Authority since 2023
Portuguese Competition Authority
Episode: Episode 37: Nuno Cunha Rodrigues on Computational Antitrust in Portugal
Nancy Scola
Technology and politics journalist
Politico, The Washington Post, The Atlantic, Wired (and others)
Episode: Episode 36: Nancy Scola on Computational Antitrust and Antitrust Journalism
Kamil Nejezchleb
Vice Chairman of the Czech Competition Authority since April 2021
Czech Competition Authority
Episode: Episode 35: Kamil Nejezchleb on Computational Antitrust in Czechia
Natalie Harsdorf
Head of the Austrian Competition Agency, teaches European Law at the University of Vienna, with a PhD in procedural competition law.
Austrian Competition Agency
Episode: Episode 33: Natalie Harsdorf on Computational Antitrust in Austria
Cary Coglianese
Professor of Law and Political Science at Penn University, Director of the Penn Program on Regulation
Penn University
Episode: Episode 32: Cary Coglianese on the Use of AI in Public Enforcement

Host

Thibault Schrepel
Host of discussions primarily focused on computational tools and their impact on competition law enforcement, engaging with various experts in the field.

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Talking Points

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Episode 40: Colluding Without Colluding, How AI Agents Learn to Fix Prices on Their Own
Q: How should regulators think about enforcing or detecting this kind of algorithmic collusion?
Regulators should consider observable outcomes and the information environments that enable them, rather than requiring a formal 'meeting of minds.' Tools like simulations, data-sharing audits, and potentially access to model signals or fingerprints in outcomes could help detect tacit collusion, while acknowledging the challenge of proving intent or agreement in complex digital markets.
Episode 40: Colluding Without Colluding, How AI Agents Learn to Fix Prices on Their Own
Q: What did you set out to do within the paper and what is the key finding listeners should remember?
We built a smart agent-based modeling framework that pits two LLMs in a Bertrand duopoly with differentiated products, letting them communicate in natural language and optimizing profits over hundreds of rounds. The central finding is that autonomous, emergent collusion is not only possible but also relatively cheap to simulate, and that language, model choice, and data-sharing environments can significantly influence how and when such collusion emerges, even without explicit human coordination.
Episode 33: Natalie Harsdorf on Computational Antitrust in Austria
Q: How do you foresee the Austrian Competition Agency in the next 10 years?
I am optimistic about the agency evolving and increasing cooperation within international frameworks.
Episode 33: Natalie Harsdorf on Computational Antitrust in Austria
Q: How important has digitalization been in transforming the agency's enforcement processes?
Digitalization has been at the heart of transforming the agency, enabling faster and more efficient procedures.
Episode 33: Natalie Harsdorf on Computational Antitrust in Austria
Q: What are your priorities as the head of the Austrian Competition Agency?
My main priority was to restructure the agency, increase personnel, and improve the agency's budget and capabilities.

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Frequently Asked Questions About Stanford Computational Antitrust

What is Stanford Computational Antitrust about and what kind of topics does it cover?

Focusing on the intersection of computational tools and antitrust analysis, this series examines how data-driven methodologies can reshape regulatory processes and enhance enforcement strategies within competition law. Episodes feature insights from prominent figures in government agencies worldwide, discussing pressing topics such as AI regulations, competition policies, and the global landscape of antitrust practices. The unique blend of theoretical understanding and practical applications makes this series particularly noteworthy for those interested in the evolving dynamics of law influenced by technology as well as the challenges and innovations within this field.

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2. The Daily
3. In Moscow's Shadows

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Stanford Computational Antitrust launched 5 years ago and published 41 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on Stanford Computational Antitrust?

Recent guests on Stanford Computational Antitrust include:

1. Carlos Eduardo Veras Neves
2. Tanise Brandão-Bussmann
3. Gustavo Augusto Freitas de Lima
4. Alvin Koh
5. Nuno Rodrigues
6. Nancy Scola
7. Kamil Nejezchleb
8. Natalie Harsdorf

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