Podcast artwork thumbnail for Stanford Computational Antitrust

Stanford Computational Antitrust

Thibault Schrepel, Alba Ribera Martínez

Booking Overview

This is a specialized interview podcast focused on computational tools, artificial intelligence, and antitrust enforcement, typically featuring competition-agency leaders, regulators, and researchers. PR agencies could credibly pitch senior antitrust officials, competition-law scholars, computational economists, AI-policy experts, and digital-market enforcement specialists, but booking is very difficult because recent guests hold prominent government or academic positions.

Metrics

Episodes: 42

Frequency: Irregular

Rating: 5.0/5.0

Estimated listeners: 100 - 1,000

Listener location: USA

YouTube: 38.6k subscribers

Page updated: Oct 28, 2026 · How we check this data

Contact Information

Publicly listed emails

schrepel@stanford.edu

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Host

Thibault Schrepel - Dr. Thibault Schrepel leads the Stanford Computational Antitrust project and specializes in the relationship between computational tools, artificial intelligence, and competition law.

Alba Ribera Martínez - Alba Ribera Martínez is a computational antitrust commentator and recurring co-host focused on digital markets, competition enforcement, and emerging technology.

Booking Intelligence

Booking Requirements

very_high
Typical Credentials:  
Senior competition-agency officials, antitrust scholars, competition lawyers, computational economists, and researchers working on artificial intelligence, digital markets, or algorithmic enforcement.
Required Achievements:  
Leadership of a national or regional competition authority, Published research on computational antitrust or algorithmic collusion, Senior responsibility for digital-market investigations or enforcement, Development of analytical or compliance tools for competition regulation

Recent Guest Discussions

Carlos Neves - Large Language Models, Algorithmic Collusion, Autonomous Price Coordination, Model Behavior, And Antitrust Enforcement.

Tanise Brando - Large Language Models, Algorithmic Collusion, Autonomous Price Coordination, Model Behavior, And Antitrust Enforcement.

Gustavo Augusto Freitas de Lima - Computational Antitrust And Competition Enforcement In Brazil.

Alvin Koh - Computational Antitrust, Digital-market Investigations, Complaint Analytics, AI Governance Tools, Merger Enforcement, And Competition Policy In Singapore And Asean.

Recent Topics

Computational Antitrust, Antitrust, Competition Law, Artificial Intelligence, Mental Health

Episodes

Here's the recent few episodes on
Stanford Computational Antitrust
:

Episode 41: What 30 Antitrust Agencies Actually Do With AI

September 21, 2026

Thirty antitrust agencies report on their computational work, in what remains the only account written by the agencies themselves. This edition asked them one question. What have these tools allowed you to achieve that you could not have achieved otherwise?Three developments stand out against earlier editions. With no legal regime in place, agencies have begun writing their own rules on what may go into a model. They are putting figures on their work, reporting precision, recall and false-pos...

Episode 40: Colluding Without Colluding, How AI Agents Learn to Fix Prices on Their Own

July 10, 2026

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,...

Episode 39: Gustavo Augusto Freitas de Lima on Computational Antitrust in Brazil

March 16, 2026

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

Similar Podcasts

Podcast(s) similar to
Stanford Computational Antitrust
:

Antitrust 101 · Low booking difficulty · 100 - 1,000 listeners

The Competitive Edge · High booking difficulty · 100 - 1,000 listeners

Frequently asked questions

Here's some frequently asked questions for
Stanford Computational Antitrust
:

How do I get in touch with Stanford Computational Antitrust?

Stanford Computational Antitrust is hosted by Thibault Schrepel and Alba Ribera Martínez. Its publicly listed email is schrepel@stanford.edu. For guest bookings, the host or producer is usually the best person to reach. Podseeker helps you find direct host and producer contacts and pitch from your own inbox.

What is the email for Stanford Computational Antitrust?

The publicly listed email for Stanford Computational Antitrust: schrepel@stanford.edu.

How many listeners does Stanford Computational Antitrust have?

Podseeker estimates Stanford Computational Antitrust reaches 100 to 1,000 listeners per episode. Only the publisher has exact numbers.

Who is an ideal guest for Stanford Computational Antitrust?

Stanford Computational Antitrust typically books well-known public figures. Typical guest background: Senior competition-agency officials, antitrust scholars, competition lawyers, computational economists, and researchers working on artificial intelligence, digital markets, or algorithmic enforcement. Common among recent guests: Leadership of a national or regional competition authority; Published research on computational antitrust or algorithmic collusion; Senior responsibility for digital-market investigations or enforcement. Recent guests include Carlos Neves, Tanise Brando, and Gustavo Augusto Freitas de Lima.

How hard is it to get booked on Stanford Computational Antitrust?

Very high. It mostly books well-known names.

What topics does Stanford Computational Antitrust cover?

Recent episodes cover Computational Antitrust, Antitrust, Competition Law, Artificial Intelligence, and Mental Health. Pitch an idea tied to one of these topics and mention a recent episode.

How does Podseeker get this information?

From public sources and our own research: podcast websites, social profiles, podcast feeds, and our data team. Podcast feeds and episodes are checked daily, and details like contacts, recent guests, and booking difficulty are refreshed regularly.

I host Stanford Computational Antitrust. How do I correct this page?

If something here is out of date, ask us to correct it through Podseeker's contact form at podseeker.co/contact. Our research team reviews every request and updates the listing.

Publicly listed emails

schrepel@stanford.edu

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