Computational Antitrust
Let’s reinvent the future of antitrust law together!
On behalf of the entire team, welcome to the Computational Antitrust project—a space dedicated entirely to antitrust law 3.0. Hosted by the Stanford University Codex Center, the goal of our project is to explore how legal informatics can foster the automation of antitrust procedures and the improvement of antitrust analysis.
The Computational Antitrust project brings together 75 antitrust agencies and over 50 academics. We routinely publish open-access academic papers, organize workshops, conferences, and other events. Additionally, we release an annual report that includes contributions from our partner competition agencies.
Recent Blog Posts
Latest Publications
The Psychology of Competition Agencies: Using Computational Tools to Address Motivated Skepticism
The Antitrust Stack: A Computational Analysis of Lina Khan’s Legacy
Computational Antitrust Worldwide: Fourth Cross-Agency Report
The Impact of the More Economic Approach on EU Merger Decisions
Economics in the Era of Machine Learning — What Do Competition Lawyers Need to Know?
Antitrust Concepts and Artificial Intelligence: The Case of Plausibility
The Arc of Antitrust: A Text-based Measure of Antitrust Policy Beliefs and Attitudes
Using Natural Language Processing to Delineate Digital Markets
