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Stanford Computational Antitrust

Por: Thibault Schrepel

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

36 episodios disponibles

Latest episodes of the podcast Stanford Computational Antitrust

Episode 35: Kamil Nejezchleb on Computational Antitrust in Czechia 13/05/2025

Episode 34: Andy Chen on Computational Antitrust in Taiwan 24/04/2025

Episode 33: Natalie Harsdorf on Computational Antitrust in Austria 27/03/2025

Episode 32: Cary Coglianese on the Use of AI in Public Enforcement 12/03/2025

Episode 31: Martijn Snoep on Computational Antitrust in the Netherlands 10/02/2025

Episode 30: Mahmoud Momtaz on Computational Antitrust in Egypt 29/01/2025

Episode 29: Machine Learning for Competition Lawyers (Philip Hanspach) 07/11/2024

Episode 28: Using AI to Clarify Antitrust Concepts (Mariateresa Maggiolino) 25/10/2024

Episode 27: Angela Zhang on Chinese (Computational) Antitrust 16/10/2024

Episode 26: Defining Relevant Markets with NLP (Wohak) 18/07/2024

Episode 25: Erik Brynjolfsson on Developing New Measures of Market and Tech Dynamism 16/05/2024

Episode 24: Cani Fernández on Computational Antitrust in Spain 09/04/2024

Episode 23: Eleanor Fox on Global Computational Antitrust 28/03/2024

Episode 22: Bill Kovacic on How To Design an Antitrust Agency 3.0 30/01/2024

Episode 21: Using Machine Learning to Detect Tacit Collusion (Brown et al.) 29/01/2024

Episode 20: European Protectionism in Antitrust (Bosch & Bostoen) 30/08/2023

Episode 19: Computational Antitrust Within Antitrust Agencies (Schrepel & Groza) 05/07/2023

Episode 18: Automating Competition Law Enforcement (Hofmann & Lorenzoni) 08/05/2023

Episode 17: Antitrust APIs and Antitrust Limits (Thibault Schrepel) 06/03/2023

Episode 16: Deploying Network Analysis in Antitrust Law (French Comp. Agency) 30/01/2023

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