Pioneering the integration of Artificial Intelligence — including Large Language Models and ML agents — into water emergency management and environmental education across Europe.
A pioneering Erasmus+ partnership integrating AI into water and environmental education.
Ai-LEARN creates high-quality, internationally accessible training modules on flood forecasting, drought analysis, and water management — combining state-of-the-art machine learning with real-world EU satellite data and field case studies.
At its core, Ai-LEARN rethinks how education is delivered. AI-driven systems — including Large Language Models — guide learners through complex environmental models, making advanced methodologies accessible and pedagogically sound. Three leading universities in the Netherlands, Spain, and Greece collaborate to deliver this vision.
Learn more about the project →Project background, four core objectives, regional case studies, and work packages.
→IHE Delft, UPV/EHU, and TUC — three world-class universities leading this consortium.
→The project website, AI modelling tools, and the WaterTech Learning Portal.
→Our agentic teaching framework — student, teacher, and evaluator AI agents working in concert.
→Timeline of project deliverables, expected results, and open educational resources.
→Latest updates, dissemination events, and upcoming activities from the consortium.
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Co-funded by the European Union. Views and opinions expressed are those of the author(s) only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union nor EACEA can be held responsible for them.