Consortium

Partner Institutions

Three complementary European universities with world-class expertise in water science, AI, and environmental education — united by a shared commitment to transforming higher education.

Lead Institution
IHE Delft
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IHE Delft Institute for Water Education

Netherlands — Delft UNESCO-IHE

The world's premier postgraduate institute for water education, part of UNESCO. With over 200 staff members, an alumni network spanning 179 countries, and internationally recognised leadership in hydroinformatics and eCampus digital learning, IHE Delft brings unparalleled depth in water science education and online learning infrastructure.

IHE Delft coordinates the full consortium, leads project management (WP1), and drives the development of the WaterTech Learning Portal (WP3), building on its established eCampus Moodle infrastructure to create an internationally accessible virtual learning environment.

Role: Project Lead · WP1 Project Management · WP3 Portal Development
UPV/EHU
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Universidad del País Vasco / Euskal Herriko Unibertsitatea

Spain — Leioa, Basque Country Public University

One of Spain's largest public universities, with 57,000+ students across three campuses. UPV/EHU's Computational Intelligence Group (CIG) brings deep expertise in AI, remote sensing, hyperspectral imaging, and environmental data analytics — directly informing the project's module on Iberian hydrology and MTG satellite integration.

UPV/EHU leads the dissemination and stakeholder engagement workpackage (WP4), coordinating all public communication, open educational resources, policy briefs, and outreach events across Europe and Latin America.

Role: WP2 AI Modules · WP4 Dissemination (Lead) · WP5 Quality
TUC Crete
🇬🇷

Technical University of Crete (Polytechneio Kritis)

Greece — Chania, Crete Technical University

A research-intensive technical university specialising in geostatistics, hydrogeology, and applied AI. TUC's Geostatistics and Hydrogeology Research Group leads the groundwater case study for Cretan aquifers, while its MSc in Machine Learning and Data Science provides a direct pipeline for pilot students and co-developers of the AI modules.

TUC leads the AI integration workpackage (WP2), driving the development of LSTM/ANN models and the LLM integration framework, and also leads quality assurance (WP5) to ensure all outputs meet the rigorous standards expected of Erasmus+ cooperation projects.

Role: WP2 AI Integration (Lead) · WP3 Portal · WP5 Quality Assurance (Lead)

How the Consortium Works

A structured governance model ensuring alignment across three countries and time zones.

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General Meetings

Two General Assembly meetings per year — one online and one in-person hosted by each partner country in rotation — review progress, resolve decisions, and strengthen the collaborative relationship.

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WP Operational Meetings

Bimonthly online meetings for each active work package ensure that day-to-day technical progress is continuously aligned across all partners without waiting for quarterly checkpoints.

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Risk Management

A dynamic risk register maintained by IHE Delft tracks project risks, mitigation actions, and escalation procedures. All partners contribute to updates at each operational meeting.

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Reporting

Standardised progress reporting templates ensure consistent documentation of activities, expenditures, and outputs — feeding into formal Erasmus+ periodic reports submitted to EACEA.