SOURCE-LINKED INTELLIGENCE
Addressing Sustainability Transition Pathways in the Blue Economy
em goods and services and 3) deliver new knowledge on the management and planning of ocean resource. To do so, Blue-Paths will couple a marine socio-ecological system (SES) framework with an Ensemble Machine Learning (ML) technique to simulate the spatio-temporal environmental and socio-economic effects on the marine SES induced by pervasive ocean technologies. This is of high practical value, as it will be tested on the 2050 ecological transition plan of Spain. Blue-Paths framework combined with ML techniques will provide innovative tools to monitor the sustainable use of the ocean space and foster adaptive management of marine resources." Sustainability Transitions, Socio-Ecological System, Ocean Technologies, Machine Learning, Marine Spatial Planning, Blue Growth
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- recordType
- award
- status
- TERMINATED
- region
- EU
- value
- 165312.96
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T01:21:06.728Z. This is not the publication date.