My Data is Mine Award - 2022 edition
The My data is mine Award is aimed at supporting young scholars with an innovative approach to data protection issues and who can offer a visionary contribution to data exploitation in Europe and worldwide
You can read in this section the most valuable papers received for the award. The winner of the 2022 edition was unveiled at the Web Summit in Lisbon, on November 3rd. Re-live the panel “My data is mine award, 2022: Data sharing and its pro-competitive effect on the market”, at this link.
14 publications
The Abuse & Misuse of the GDPR Right of Access: Refining the Sharp Edges of the Digital Omnibus Proposal // WINNER
The General Data Protection Regulation (GDPR) was subject to thorough scrutiny through the EU Digital Omnibus proposal. One of the most controversial points was regulating the abuse of the right of access, bringing a number of practical and theoretical incompatibilities to light. This article will detail them, subsequently proposing an interpretative solution for harmonisation, with minimal regulatory costs.
CALL FOR PAPERS | “GDPR and ePrivacy Reform: operationalizing Europe’s Digital Omnibus”
The seventh edition, which will take place at the 2026 Brussels Privacy Symposium, jointly presented by the Brussels Privacy Hub of Vrije Universiteit Brussel (VUB) and the Future of Privacy Forum (FPF) aims to stimulate academic research on the innovative approach to data protection issues and who can offer a visionary contribution to data processing in Europe and worldwide.
THE GOLDILOCKS STANDARD – Machine Unlearning and the Right to be Forgotten Under Emerging Legal Frameworks
// WINNER
This paper critically examines the legal frameworks that impose requirements for machine unlearning, the process by which AI systems forget previously learned information upon request. It focuses on the General Data Protection Regulation (GDPR) and the Data Act, highlighting how these laws have set early benchmarks that technical standards are only now beginning to meet.
AI Memorisation and Anonymisation under the GDPR
// SPECIAL MENTION
This paper examines the extent to which the General Data Protection Regulation (GDPR) applies to artificial intelligence (AI) models in light of the inherent memorisation of data during their training. Central to this inquiry is the concept of anonymisation and whether it should be assessed under an “objective” standard, requiring irreversibility for any party, or a “subjective” one, dependent on the means reasonably available to a specific controller.
Fairness by Design: An Empowering tool for Personal Data Processing in AI systems
// SPECIAL MENTION
Fairness has long stood at the centre of European data-protection law, yet remains its most ambiguous and least implemented principle. In the age of AI—where automated models mediate access to knowledge, work, and opportunity—such ambiguity is untenable. This paper reclaims fairness as an empowerment mechanism rather than a procedural formality.
CALL FOR PAPERS | “Digital Fairness and Data Protection in the age of AI”
The sixth edition, which will take place in Lisbon during the 2025 Web Summit, aims to stimulate academic research on the innovative approach to data protection issues and who can offer a visionary contribution to data processing in Europe and worldwide.