Stergios Aidinlis is a Research Analyst at Trilateral Research. He is currently working on the DARLENE project, which involves combining AR and ML technology to improve situational awareness of police officers while combatting crime, focusing on its data protection and ethical aspects.
Stergios’s interests lie at the intersections of data sharing and data protection regulation with human rights law, particularly concerning the regulation of data-driven research, as well as the governance of using and analysing big datasets in the public interest.
In his previous work, Stergios has been part of numerous research projects, including leading the production of a report within a WP of a UKRI-funded cross-faculty project at the University of Oxford, ‘Unlocking the Potential of AI for English Law’. This report analysed the legal opportunities and constraints in designing a justice data infrastructure in the UK. Stergios has also taught human rights law and legal philosophy at the University of Oxford and Queen Mary University of London.
Stergios has published on the interplay between data protection and human rights law, inter alia, in European Data Protection Law Review, the Computer Law & Security Review, International Data Privacy Law, Communications Law and the Journal of European Consumer and Market Law, as well as in the fields of socio-legal studies, administrative justice and regulation theory in such journals as the Journal of Social Welfare & Family Law, Public Law and The Modern Law Review.
Stergios is currently completing his DPhil in Socio-Legal Studies at the University of Oxford, where his research was funded by the ESRC, the Onassis and Leventis Foundations. He has completed studies in socio-legal research (MSt) and law (MJur) at the University of Oxford and the Aristotle University of Thessaloniki, Greece (LLB & LLM in Criminal Law).
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