AI-based long-term health risk evaluation for driving behaviour change strategies in children and youth

Project Information

SmartCHANGE

Grant agreement ID: 101080965

DOI

10.3030/101080965

EC signature date 20 March 2023

Start date 1 May 2023

End date 30 April 2027

Funded under

• Health

Total cost

€ 5 967 395,00

EU contribution

€ 5 967 395,00

Coordinated by

INSTITUT JOZEF STEFAN
Slovenia

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Data Management Plan (1)

Data management plan

Best practices and standards for project data, assessment of suitability for sharing

Documents, reports (3)

Initial dissemination, communication and exploitation plan

Plan for dissemination, communication and exploitation, including stakeholder groups and targeted engagement activities

SELP benchmark

A description of key ethical and legal requirements, and their frame

Initial technical specification

Initial specification of the design of the system architecture integrating all the components defined in the project to be used in the pilot study

Websites, patent fillings, videos etc. (1)

Project website

Website with project presentation, news and public materials (website and a short description)

Publications

Other (2)

AI in Healthcare: The AI Act and other Regulatory Issues

Author(s): Favaro, John
DOI: 10.5281/ZENODO.13935246

SmartCHANGE Webinar - Putting Health Tools into practice: Designing feasibility studies at an international scale

Author(s): Domenici, Diego Dylan; op den Akker, Harm; Di Giacomo, Valentina; Jurak, Gregor; Tammelin, Tuija; Laaksonen, Heikki; Dictus, Claudia; Hoogsteder, Mariëtte; Ribeiro, Jose; Bomrah, Sherali
Published in: 2025
Publisher: Zenodo
DOI: 10.5281/ZENODO.17581364

Conference proceedings (19)

AnyCBMs: How to Turn Any Black Box into a Concept Bottleneck Model

Author(s): Dominici, G.; Barbiero, P.; Giannini, Francesco; Gjoreski, M.; Langeinrich, M.
Published in: CoRR, 2024, ISSN 1613-0073
Publisher: Cornell University -Arxiv
DOI: 10.48550/ARXIV.2405.16508

FLUX: Efficient Descriptor-Driven Clustered Federated Learning under Arbitrary Distribution Shifts

Author(s): Dario Fenoglio, Mohan Li, Pietro Barbiero, Nicholas D. Lane, Marc Langheinrich, Martin Gjoreski
Published in: NeurIPS 2025, 2025
Publisher: Cornell Univeristy - Arxiv
DOI: 10.48550/ARXIV.2511.22305

AnyCBMs How to Turn Any Black Box into a Concept Bottleneck Model

DOI: 10.5281/ZENODO.14582114

Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning

Author(s): Dario Fenoglio, Gabriele Dominici, Pietro Barbiero, Alberto Tonda, Martin Gjoreski, Marc Langheinrich
Published in: 2024
Publisher: Cornell University - Arxiv
DOI: 10.48550/ARXIV.2405.15632

Multi-Frequency Federated Learning for Human Activity Recognition Using Head-Worn Sensors

Author(s): Dario Fenoglio; Mohan Li; Davide Casnici; Matías Laporte; Shkurta Gashi; Silvia Santini; Martin Gjoreski; Marc Langheinrich
Published in: 2024 International Conference on Intelligent Environments (IE), 2024, ISSN 2469-8792
Publisher: IEEE
DOI: 10.48550/ARXIV.2512.03287

Multi-Frequency Federated Learning for Human Activity Recognition Using Head-Worn Sensors

Author(s): Dario Fenoglio, Mohan Li, Davide Casnici, Matias Laporte, Shkurta Gashi, Silvia Santini, Martin Gjoreski, Marc Langheinrich
Published in: 2024 International Conference on Intelligent Environments (IE), 2024
Publisher: IEEE
DOI: 10.1109/IE61493.2024.10599924

Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning

Author(s): Gabriele Dominici, Pietro Barbiero, Mateo Espinosa Zarlenga, Alberto Termine, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich
Published in: ICLR 2025, 2025
Publisher: Cornell University - Arxiv
DOI: 10.48550/ARXIV.2402.01408

Federated Learning for Privacy-aware Cognitive Workload Estimation

DOI: 10.1145/3626705.3627783

Health Risk Prediction for Children Built on a Combination of Heterogeneous Datasets

Author(s): Kramar Sebastjan, Jordan Marko, Založnik Marcel, Reščič Nina, Luštrek Mitja
Published in: 2024, ISSN 2545-4990
Publisher: Zenodo
DOI: 10.5281/ZENODO.14549545

SmartCHANGE Risk Prediction Tool: Next-Generation RiskAssessment for Children and Youth

Published in: IS 2025 - Slovenian Conference on Artificial Intellignece, 2025
Publisher: Jozef Stefan Institute
DOI: 10.70314/IS.2025.SKUI.7226

A Data Modeling Process for Achieving Interoperability

Author(s): Eleftheria Kouremenou, Athanasios Kiourtis, Dimosthenis Kyriazis
Published in: 2024
Publisher: Springer Nature
DOI: 10.5281/ZENODO.14541883

A Cross-Sector Data Space for Correlating Environmental Risks with Human Health

Author(s): Athanasios Kiourtis, Argyro Mavrogiorgou, Dimosthenis Kyriazis
Publisher: Springer Nature
DOI: 10.5281/ZENODO.14541845

A Federated Unsupervised Personalisation for Cognitive Workload Estimation

Author(s): Dario Fenoglio, Martin Gjoreski, Marc Langheinrich
Published in: Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia, 2023
Publisher: ACM
DOI: 10.1145/3626705.3631796

SmartCHANGE: AI-based long-term health risk evaluation for driving behaviour change strategies in children and youth

Author(s): Nina Reščič, Janna Alberts, Teatske M. Altenburg, Mai J. M. Chinapaw, Antonio De Nigro, Dario Fenoglio, Martin Gjoreski, Anton Gradišek, Gregor Jurak, Athanasios Kiourtis, Dimosthenis Kyriazis, Marc Langheinrich, Elena Mancuso, Argyro Mavrogiorgou, Mykola Pechenizkiy, Roberto Pratola, José Ribeiro, Maroje Sorić, Fawad Taj, Tuija H. Tammelin, Martijn Vastenburg, Anna Vilanova, Tanja G. M. Vrijkotte, Mitja Luštrek
Published in: 2023 International Conference on Applied Mathematics & Computer Science (ICAMCS), 2024
Publisher: IEEE
DOI: 10.1109/ICAMCS59110.2023.00020

SmartCHANGE Risk Prediction Tool: Demonstrating Risk Assessment for Children and Youth

Published in: Proceedings of Slovenian Conference on Artificial Intelligence 2024, 2024
Publisher: Jožef Stefan Instutute
DOI: 10.70314/is.2024.scai.8844

Addressing Complex Data Integration and Harmonization Scenarios

Author(s): University of Piraeus Research Center
Published in: 2024
Publisher: Springer Nature
DOI: 10.5281/ZENODO.14541905

Subgroup Harm Assessor: Identifying Potential Fairness-Related Harms andPredictive Bias

Author(s): Adam Dubowski, Hilde Weerts, Anouk Wolters, Mykola Pechenizkiy
Published in: Lecture Notes in Computer Science, Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track, 2024
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-70371-3_31

Counterfactual Concept Bottleneck Models

Author(s): Dominici, G.; Barbiero, P.; Giannini, Francesco; Gjoreski, M.; Marra, G.; Langheinrich, M.
Published in: 2024
Publisher: Cornell University - Arxiv
DOI: 10.48550/ARXIV.2402.01408

A Data Modeling Process for Achieving Interoperability

Author(s): Eleftheria Kouremenou, Athanasios Kiourtis, Dimosthenis Kyriazis
Publisher: Springer Nature
DOI: 10.5281/ZENODO.14541883

Peer reviewed articles (2)

Navigating multi-country, multi-disciplinary co-design with families, adolescents and healthcare practitioners: the SmartCHANGE project.

Author(s): Claudia Dictus; Mai J.M. Chinapaw; Teatske M. Altenburg
Published in: Open Research Europe, 2025, ISSN 2732-5121
Publisher: Open Research Europe
DOI: 10.12688/OPENRESEUROPE.21004.1

Prospective association between descriptive accelerometer-derived physical behaviour metrics and cardiometabolic risk indicators in Dutch children: The ABCD study

Author(s): Fawad Taj, J.M.M. Chinapaw, Teatske Altenburg, Tanja Vrijkotte
Published in: Journal of Exercise Science & Fitness, Issue 24, 2026, ISSN 1728-869X
Publisher: Elsevier BV
DOI: 10.1016/J.JESF.2025.200431