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Emulating complex causal socio-ecological models in digital twins of ocean

CORDIS · observation · Publication date unknown

rging DTO framework. Innovations include four different classes of novel socio-ecological models based on concepts from mathematics (graph theory), control engineering (stability), computer science (generative AI), statistics (Bayesian theory) and information science (entropy), combined with dynamic participatory feedback from stakeholders, and methodological protocols enabling seamless integration with DTOs by accounting for the interoperability, accessibility, reliability and sustainability of transdisciplinary data. The models comprise: 1) quantitative causal graph theoretic models, 2) qualitative causal graph theoretic models, 3) network models with participatory feedback and 4) parallel generative AI models. Through validation in four use cases in the North Sea (Belgium, Germany), Celtic Sea (Ireland), Thracian Sea (Greece) and Waterford Harbour (Ireland), tools will be developed for assessing scenarios including the relationships between factors including ecosystem services and health, geopolitical factors, fishing job losses, tourism and marine renewables development. Resul

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recordType

award

status

SIGNED

region

EU

value

2979801.25

unit

EUR