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

Objective

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 ensure procedural fairness.

ATLANTIS addresses these challenges by focusing on three areas: (1) ensuring accuracy in data collection without infringing defense rights; (2) promoting fairness by mitigating biases in AI tools used by antitrust agencies; and (3) securing the sustainability of computational antitrust through future-proof institutional frameworks.

ATLANTIS will transform the field of antitrust by delivering multidisciplinary academic insights rooted in competition law, computational law and institutional economics to address the critical challenges of computational antitrust. ATLANTIS solutions will help antitrust agencies navigate the digital landscape and benefit society at large by lowering prices, addressing power imbalances, and protecting the integrity of free societies by mitigating market concentration risks—outcomes enabled by effective antitrust enforcement.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.

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Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-ERC - HORIZON ERC Grants

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) ERC-2025-COG

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Host institution

STICHTING VU
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 2 000 000,00
Address
DE BOELELAAN 1105
1081 HV Amsterdam
Netherlands

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Activity type
Higher or Secondary Education Establishments
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 2 000 000,00

Beneficiaries (1)

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