ML tools and systems models for WEFE nexus policy formulation and impact assessment
ML tools and systems models for WEFE nexus policy formulation and impact assessment Experts from IHE Delft Institute for Water Education and Eurecat, Centre Tecnològic de Catalunya, guide us through the use of machine learning tools and systems models to inform WEFE nexus policy formulation and impact assessment. In the July 2024 edition, the water, energy, and food (WEF) nexus was introduced as a coherent interconnected resource system that strongly interacts with ecosystems (to form the WEFE nexus) and supports societal development. In the September 2024 edition, the NEXOGENESIS approach for stakeholder engagement and co-creation in a nexus context was outlined.
Authors
- Nuria Nievas (ORCID: https://orcid.org/0000-0003-4949-1800)
- Janez Sušnik (ORCID: https://orcid.org/0000-0002-8814-0168)
- Lluís Echeverria (ORCID: https://orcid.org/0000-0003-4037-5192)
- Chaymaa Dkouk
Institutions
- IHE Delft Institute for Water Education (NL)
Publication Details
- Journal
- Open Access Government
- Published
- 2025-01-10
- DOI
- https://doi.org/10.56367/oag-045-11559
- Primary Topic
- Water Quality Monitoring Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00