PastVirtual

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.

Speakers(31)

Alex Sotropa

Beatriz Botero

Catalina Goanta

Daniel Crane

Daniel W. Linna Jr.

Daniel Westrik

David Dorrell

Dazza Greenwood

Founder at CIVICS.com

Daniel “Dazza” Greenwood is founder of CIVICS.com, a boutique provider of professional consultancy services for legal technologies, automated transactions, data management, and technology strategy. He is also a researcher at MIT Media Lab, advancing the field of computational law.

Doug Melamed

Eleanor Fox

Event Details

Date
December 5, 2022
Location
🇺🇸 Stanford, United States
Stanford Law School
Pricing
Free
Audience
Legal professionals, economists, computer scientists, policymakers

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