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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

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Episode 15: Measuring Economic Analysis in Antitrust Law (Siying Cao) 14/11/2022

Episode 14: Cartel Screening and Machine Learning (Harrington & Imhof) 20/09/2022

Episode 13: Complexity Science, Blockchain, and Computational Antitrust (John McCaskill) 15/08/2022

Episode 12: The Adoption of Computational Antitrust by Agencies: 2021 Report (Teodora Groza) 20/07/2022

Episode 11: Prospects and Limits of Merger Simulations as a Computational Antitrust Tool (Oliver Budzinski) 25/05/2022

Episode 10: Discussing The Legitimacy of Digital Market Surveillance (Goanta & Spanakis) 27/04/2022

Episode 9: Algorithmic Governance in Computational Antitrust (Marcela Mattiuzzo) 31/03/2022

Episode 8: Antitrust by Algorithm (Cary Coglianese) 24/03/2022

Episode 7: Micro-Directives and Computational Merger Review (Casey & Niblett) 16/12/2021

Episode 6: Doctrinal Implications of Computational Antitrust (Chang, McCabe, Ren, Beckelhimer & Lee) 11/10/2021

Episode 5: A Computational Analysis of the DSA and DMA (Di Porto, Grote, Volpi & Invernizzi) 02/09/2021

Episode 4: Antitrust Enforcement and Big Tech (Himes, Nieh & Schnell) 10/06/2021

Episode 3: Time for a New Antitrust Era (Mahari, Lera & Pentland) 03/05/2021

Episode 2: Can Computational Antitrust Succeed? (Daryl Lim) 09/04/2021

Episode 1: Gleaning Insight from Antitrust Cases Using Machine Learning (Massarotto & Ittoo) 05/03/2021

Episode 0: Introducing Computational Antitrust (Thibault Schrepel) 25/02/2021

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