Full Title
AI-based long-term health risk evaluation for driving behaviour change strategies in children and youth
Grant Agreement No.
101080965
Programme
Horizon Europe
Call Topic
HORIZON-HLTH-2022-STAYHLTH-01-04-two-stage
Duration
48 months (1 May 2023 - 30 April 2027)
Budget (Total)
€ ~6Μ
Budget (VUB)
€ 415.953,75
Keywords
Children; Youth; Long-term risk prediction; Chronic NCD; Behaviour change; Artificial Intelligence; Federated learning; Explainable AI; Robustness; Bias; Participatory design; Proof-of-Concept study
In brief...
The SmartCHANGE project aims to develop long-term risk prediction models for cardiovascular and metabolic diseases in individuals aged 5 to 19. Machine-learning methods will enable accurate risk prediction, while federated learning techniques will ensure data privacy. The project's solution will be tested in relevant healthcare settings.
Our role
VUB-HALL is the project’s legal partner and leader of WP2. In this role, together with Amsterdam UMC, VUB-HALL assesses the project’s impact in terms of Societal, Ethical, Legal and Privacy (SELP) to ensure that the project is legally and ethically sound both now and in the foreseeable future, by establishing a benchmark of regulatory and ethical frameworks and adapt it to the SmartCHANGE context, by developing and implementing ethical procedures for user engagement (participatory design, proof-of-concept study) and by involving all partners in the above-mentioned impact assessment, while continuously monitoring compliance with the relevant norms and regulations.
Partners
INSTITUT JOZEF STEFAN [SL] (Project Coordinator); UNIVERSITY OF PIRAEUS RESEARCH CENTER [GR]; TECHNISCHE UNIVERSITEIT EINDHOVEN [NL]; UNIVERZA V LJUBLJANI [SL]; STICHTING AMSTERDAM UMC [NL]; JYVASKYLAN AMMATTIKORKEAKOULU OY [FI]; ENGINEERING - INGEGNERIA INFORMATICA SPA [IT]; CONNECTEDCARE SERVICES BV [NL]; TRUST-IT SERVICES SRL [IT]; COMMPLA SRL [IT]; VRIJE UNIVERSITEIT BRUSSEL [BE]; UNIVERSIDADE DO PORTO [PT]
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