Schrepel Lab

Research focus

ERC Consolidator Grant · 2025

Computational Antitrust: Making Technology-Driven Antitrust Accurate, Fair and Sustainable

Computational antitrust is what happens when antitrust intersects with computational tools (computer-based problem-solving methods, including AI and data analytics). These tools have significantly transformed antitrust in recent years, with an overwhelming majority of antitrust agencies now using them to tackle fast-moving markets—whether for detecting infringements, analyzing practices, or monitoring remedies. But while computational antitrust improves enforcement effectiveness, it raises pressing legal challenges. Computational antitrust is poised to collapse unless the legal framework governing data collection and processing by agencies is reformed to safeguard fundamental rights and…

From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.