Development of digital twins through high-performance computing integrating physical, ecological, and socio-economic data across multiple scales, capable of simulating management and conservation scenarios and supporting decision-making on marine resources and coastal planning.
Deployment of sensor networks and autonomous systems integrating biological and physicochemical information to improve ocean monitoring, automate the detection of ecological changes, and enable early warning systems with high spatial and temporal resolution.
Application of artificial intelligence and big environmental data analytics to improve ecological prediction, optimize resource and risk management, and develop digital services and platforms that provide useful information to public and private stakeholders in the blue economy.
Development of open, standardized, and interoperable marine data infrastructures and repositories, with management protocols aligned with FAIR principles, integrated into European networks and accompanied by open science training to facilitate international collaboration.
