EcoTwin

EcoTwin Project: Making Ocean Data and Knowledge More Accessible The EcoTwin project aims to enhance the European Digital Twin Ocean (EDITO) and local Digital Twins of Ocean (DTOs) by integrating socio-ecological (SE) models, making ocean data and knowledge more accessible for a broad audience, including citizens, entrepreneurs, scientists, and policymakers. By developing innovative SE models and analysis tools, EcoTwin seeks to improve decision-making and scenario analysis related to ocean health and coastal management. The project focuses on four key coastal regions: the Southern North Sea, Celtic Sea, Thracian Sea, and Waterford Estuary. These areas will serve as case studies to test and refine the models, supporting the EU’s initiatives to protect marine environments and promote sustainable development. EcoTwin addresses current challenges in combining social and ecological data, which are often difficult to integrate due to their differing natures. The project uses graph theory to link these data types, creating comprehensive models that capture the complexity of socio-ecological systems. EcoTwin will develop four classes of SE models: quantitative and qualitative causal models, network models with participatory feedback, and generative AI models. These models will use data from various sources, including Copernicus, EMODnet, and EUROSTAT, and will involve collaboration with the European Open Science Cloud to ensure best practices in data management. The goal is to create interoperable, reliable, and sustainable models. The project also emphasizes stakeholder involvement, co-designing tools and processes for effective engagement and policy scenario assessment. This ensures that the models are practical and relevant for decision-makers. Additionally, EcoTwin will develop AI tools tailored to marine ecosystems, enhancing the accessibility of ocean data and enabling more efficient decision-making.