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

Stanford Computational Antitrust
09/04/2021 44 min

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

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Episode Synopsis

In this episode 2, Thibault Schrepel discusses Stanford Computational Antitrust's newest article, "Can Computational Antitrust Succeed?", with its author, Daryl Lim.

More 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
Ver todos los episodios
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