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The list of the projects recommended for funding by the Call Steering Committee is available below and as attachment. The projects will be presented in detail here. Statistics about the call are available as attachment.

Explainable Machine Learning-based Artificial Intelligence (XAI)

Acronym  Title Countries (coord. in bold)
ANTIDOTE ArgumeNtaTIon-Driven explainable artificial intelligence fOr digiTal mEdicine BE, ES, FR, IT, PT
CausalXRL Causal eXplanations in Reinforcement Learning AT, FR, UK
CIMPLE Countering Creative Information Manipulation with Explainable AI AT, CZ, FR, PT, UK
COHERENT COllaborative HiErarchical Robotic ExplaNaTions ES, IT, UK
EXPECTATION Personalized Explainable Artificial Intelligence for decentralized agents with heterogeneous knowledge CH, IT, LU, TR
GraphNEx Graph Neural Networks for Explainable Artificial Intelligence CH, FR, UK
INFORM Interpretability of Deep Neural Networks for Radiomics FR, GR, PL
iSee Intelligent Sharing of Explanation Experience by users for users ES, FR, IE, UK
MUCCA Multi-disciplinary Use Cases for Convergent new Approaches to AI explainability BG, IT, RO, UK
SAI Social Explainable Artificial Intelligence AT, BG, EE, IT, PL, UK
XAIface Measuring and Improving Explainability for AI-based Face Recognition AT, CH, FR, PT
XPM Explainable Predictive Maintenance FR, PL, PT, SE

Novel Computational Approaches for Environmental Sustainability (CES)

Acronym  Title Countries (coord. in bold)
4Map4Health Mapping of forest health, species and forest fire risks using Novel ICT Data and Approaches AT, CZ, ES, FI, PT
ANDROMEDA Advanced and novel hydrology models based on enhanced data collection, analysis, and prediction ES, FI, IT
SEC-OREA Supporting Energy Communities- Operational Research and Energy Analytics BE, FR, IE, LV
SEEDS Stakeholder-Based Environmentally-Sustainable and Economically Doable Scenarios for the Energy Transition CH, EE, ES, PT
SWAIN Sustainable Watershed Management Through IoT-Driven Artificial Intelligence AT, CH, FI, TR
WATERLINE New Solutions for Data Assimilation and Communication to Improve Hydrological Modelling and Forecasting AT, CH, FI, GR, PL