CA25171 - ODIN-AI: Ocean Disaster Intelligent Network using AI (ODIN-AI)

The volume of data, processing speed, and complexity of multi-hazard interactions in near-shore environments limit coastal oceanographic forecasting and early warning systems for ocean disasters such as marine heatwaves, harmful algal blooms, storm surges, and coastal flooding. The gap between cutting-edge AI research and operational oceanography is a major issue. This slows the translation of scientific findings into real-time social benefits. Climate change has resulted in an increased frequency and intensity of extreme oceanic events.

The ODIN-AI COST Action will create the first pan-European network to narrow this gap and accelerate the adoption of innovative AI/ML approaches in operational coastal oceanography. Our Research Coordination Objectives (RCOs) are to develop physically consistent, interpretable (XAI), and hazard-predicting AI systems. Interoperable frameworks for real-time operational systems are also required. This network of experts from academia, operational centres, and policy bodies, with 50% of its members from Inclusiveness Target Countries (ITCs), meets the need for pan-European expertise. Our Capacity-building Objectives (CbOs) create unique transdisciplinary training for YRIs and operational practitioners. They also prioritise fair skill transfer and ITC leadership.

Technologically, we will provide scalable AI prototypes and standardised R2O protocols; socioeconomically, we will enable earlier warnings for anticipatory action, reducing human casualties and economic damage; and ethically, we will provide clear Guidelines for Responsible AI in Operational Oceanography to build trust and policy uptake. Through regional pilots, ODIN-AI will lead stakeholders in framework creation and validation. This helps Europe develop a resilient and intelligent coastal disaster management system.