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By Thibault Schrepel
5
33 ratings
The podcast currently has 27 episodes available.
In this episode 26, Thibault Schrepel talks to Ulrich Wohak about his article (co-authored with Klaus Gugler and Florian Szücs) entitled “Using Natural Language Processing to Delineate Digital Markets” (freely available at https://law.stanford.edu/computationalantitrust)
In this episode 25, Teodora Groza & Thibault Schrepel talk with Erik Brynjolfsson (Stanford University) about how antitrust agencies can document market dynamism, gain a better understanding of the digital economy using the GDP-B measure, track AI dynamics, and more. Follow Stanford Computational Antitrust at https://law.stanford.edu/computationalantitrust
In episode 24, Thibault Schrepel talks to Cani Fernández, President of the National Commission for Markets and Competition in Spain. They discuss how computational antitrust can help explore the full scope of the consumer welfare standard, the role lawyers can play, where Cani Fernández will invest resources in the coming years, what she has done to ensure that the agency's computer scientists work with lawyers and vice versa, how computational tools can contribute to better coordination between competition law and regulation, how she deals with companies with large or small computational capabilities, and more. We hope you enjoy the conversation. Follow Stanford Computational Antitrust at https://law.stanford.edu/computationalantitrust.
In this episode 23, Teodora Groza & Thibault Schrepel talk with Eleanor Fox (NYU) about why, how, and when to use computational antitrust in the Global South. They also discuss institutional design, ideology in antitrust, and more. Follow Stanford Computational Antitrust at https://law.stanford.edu/computationalantitrust.
In this episode 22, Teodora Groza & Thibault Schrepel talk with Bill Kovacic about what it takes for antitrust agencies to implement computational antitrust (aka “antitrust 3.0”). Follow Stanford Computational Antitrust at https://law.stanford.edu/computationalantitrust.
In this episode 21, Thibault Schrepel talks to David P. Brown, Daniel O. Cajueiro, Andrew Eckert, and Douglas Silveira about their article entitled "Information and Transparency: Using Machine Learning to Detect Communication Between Firms" (freely available at https://law.stanford.edu/computationalantitrust)
In this episode 19, Thibault Schrepel & Teodora Groza discusses Stanford Computational Antitrust's 2nd annual report, which includes contributions from 26 antitrust agencies // Read the report at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4476321
In this episode 18, Thibault Schrepel discusses Stanford Computational Antitrust's newest article, “Future Challenges for Automation in Competition Law Enforcement,” with Herwig C.H. Hofmann & Isabella Lorenzoni // Read the article at https://law.stanford.edu/computationalantitrust and register to our OECD live streamed event on June 15 at https://bit.ly/3M0mZt6.
In this episode 17, Teodora Groza discusses Stanford Computational Antitrust's newest article, “The Making of An Antitrust API: Proof of Concept,” with Thibault Schrepel // Read the article at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4241927 and visit the project website at https://law.stanford.edu/computationalantitrust
The podcast currently has 27 episodes available.
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