Computational Antitrust: An Introduction and Research Agenda

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.

Keywords: computational antitrust, antitrust, computational law, artificial intelligence, algorithms, machine learning

JEL Classification: K21, D40, D21, E30, E37, K23, L10, L40, L21, L43, L44, L50