DELON - Decoding the European Health Data Space: Navigating impLementatiON

I EDITION | ON SITE | APPLICATION

Registrations open

20th October 2025 - 22nd  February 2026

Period
4th - 8th May 2026

Learning objectives 
This seasonal school aims to develop skills and competences on the European Health Data Space (EHDS), which will gradually become applicable over the next years and will reshape the regulation of primary and secondary uses of health data within the European Union's evolving data protection framework. Participants will master the fundamental innovations introduced by the EHDS, regarding both primary and secondary uses of health data. The course will ensure deep learning of the interplay between EHDS and existing data protection frameworks, especially the General Data Protection Regulation (GDPR). Participants will analyse the EHDS within the broader European Data Strategy, including its relationship with the Data Governance Act and Data Act. By the end of the program, they will be able to design practical compliance solutions that coordinate EHDS requirements with existing legislative frameworks.

Teaching methodologies 
The program employs a hybrid learning approach combining interactive lectures with elements of Problem-Based Learning (PBL). The PBL methodology follows a structured three-phase process that encourages active participation and practical application of knowledge. In the first phase of case analysis and problem identification, participants examine real-world scenarios while working in groups to identify key issues and define learning objectives. The second phase focuses on collaborative learning, where participants engage in small group work to address identified challenges. Through guided research and solution development, they build practical knowledge while receiving consistent support from experienced tutors. The final phase emphasizes solution development and integration through plenary discussions of findings. Participants engage in collaborative solution refinement while tutors moderate knowledge synthesis to ensure thorough understanding of complex concepts.

Target participants
University students from undergraduate through doctoral level programs in relevant fields including law, medicine, management, life sciences, computer science, and engineering will find valuable insights for their academic and professional development.