Computational Antitrust: Implementing Antitrust 3.0
by Stanford Computational Antitrust team at CodeX – The Stanford Center for Legal Informatics
Computational Antitrust: Implementing Antitrust 3.0 is a three-day conference organized by the Stanford Computational Antitrust team at CodeX – The Stanford Center for Legal Informatics. The event is scheduled for December 5, 6, and 7, from 8:00 AM to 11:00 AM PST, and is free and open to the public, with registration required.
The conference focuses on the implementation of computational methods in antitrust law, exploring how legal informatics can automate antitrust procedures and enhance analysis. Sessions include discussions on applied computational antitrust, future developments in the field, and comprehensive overviews of current practices.
Notable speakers include Daniel W. Linna Jr., Director of Law and Technology Initiatives at Northwestern Pritzker School of Law and McCormick School of Engineering, and an affiliated faculty member at CodeX. The event offers opportunities for networking and collaboration among academics, practitioners, and policymakers interested in the intersection of technology and antitrust law.
This conference is ideal for legal professionals, economists, computer scientists, and policymakers seeking to understand and contribute to the evolving field of computational antitrust, providing insights into cutting-edge research and practical applications.
Event Details
- Date
- December 5, 2022
- Location
- 🇺🇸 Stanford, United States
- Stanford Law School
- Pricing
- Free
- Audience
- Legal professionals, economists, computer scientists, policymakers