SOURCE-LINKED INTELLIGENCE
Integration of innovative and reliable socio-ecological models and user-driven solutions into the Digital Twin Ocean, to facilitate what-if scenarios and decision support, under a co-creation approach
the data and 3) package models, data and a visualization interface with a set of accessible and informative user-centric decision support tools, including the use of natural language processing (NLP) artificial intelligence for policy analysis and implementing a MSE framework to thoroughly account for benefits and costs of policy implementations. The project will integrate every element of the SURIMI toolbox (models, data, interoperability layer, graphical user interfaces) as core elements of the DTO infrastructure and model lab. SURIMI will cover and generalize broadly across the EU waters while providing input interfaces for users to tailor scenarios to their specific use-cases and local twins by inputting their own data and assumptions. Throughout the entire project lifetime, SURIMI will engage a wide community of stakeholders from research, industry, advocacy, policy and society, to co-create, co-design and co-assess the SURIMI toolbox in a demand-driven and responsive development cycle. All this, 1) expanding the DTO to covering ecology, economy and society and thus compl
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 3026332.5
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T02:21:08.944Z. This is not the publication date.