Abstract
Computational antitrust is a new domain of legal informatics which seeks to develop computational methods for the automation of antitrust procedures and the improvement of antitrust analysis. The present article first introduces it, then explores how agencies, policymakers, and market participants can benefit from it. Against this background, it sets out a research agenda for the years ahead in view of providing answers to the challenges created by computational antitrust, and better understand its limits.
| Original language | English |
|---|---|
| Publisher | SSRN |
| Publication status | Published - 19 Jan 2021 |
| Externally published | Yes |
Publication series
| Name | Stanford Computational Antitrust |
|---|---|
| Publisher | Stanford Law School |
Bibliographical note
Cite as: Schrepel, Thibault, Computational Antitrust: An Introduction and Research Agenda (January 15, 2021). Stanford Computational Antitrust (Vol. 1) 2021, Available at SSRN: https://ssrn.com/abstract=3766960UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 16 Peace, Justice and Strong Institutions
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