Scientific Publications
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The scientific area of the AEPD's Division of Innovation and Technology aims to make the evaluation of scientific and technological evidence a central part of the work of the AEPD's divisions and units. It collects existing evidence on topics relevant to the AEPD or generates new evidence on priority issues as needed.
Using evidence means consciously and judiciously applying the latest valid data from scientific and technological research. In public policy, it refers to systematically using information obtained through rigorous methods, such as meta-analyses, systematic reviews, experiments, independent studies, or case studies, for decision-making, intervention design, implementation, or evaluation. This approach enables policies based on objective, verifiable evidence rather than opinions, intuition, or tendencies.
The use of scientific evidence is an internationally recognized standard to improve the impact, effectiveness, transparency, and legitimacy of public policies. In addition, publishing in open access such scientific evidence produced by public bodies is essential for several reasons: it makes it accessible to the taxpayers who funded it, it encourages transparency and accountability in publicly funded science, it accelerates scientific progress by allowing other researchers to take advantage of the work done, it encourages interdisciplinary collaboration and research, it removes financial and legal barriers to information access, it makes it easier to apply new knowledge to real-world challenges, etc.
Below are links to the AEPD's scientific publications in open access.
Scientific Journals
- Computers&Security: AI algorithms under scrutiny: GDPR, DSA, AI Act and CRA as pillars for algorithmic security and privacy in the European Union [nov 2025]
- IEEE Transactions on Technology and Society: Defining, Classifying and Identifying Addictive Patterns in Digital Products [sep 2025]
Scientific Conferences
- Annual Privacy Forum 2.024: Implications of Age Assurance on Privacy and Data Protection: A Systematic Threat Model [sep 2024]
- Annual Privacy Forum 2025: Interfacing Human Brains: What could go wrong? [oct 2025]