Imagine having a high-tech flight simulator, but for the ocean. It lets you test different fishing rules or environmental changes in a virtual world to see what happens before doing it in real life. It uses AI to translate complex data into simple answers, helping people protect sea life while keeping businesses running.
Marine operators and policymakers lack tools to predict how fishing and human activities impact ocean health. This leads to inefficient management and unexpected economic losses due to sudden regulatory changes.
A toolbox containing 9 socio-ecological models, a FAIR-compliant data lake, and an AI-powered NLP interface for policy analysis integrated into the Digital Twin Ocean.
If you are a fleet operator dealing with unpredictable fish stock levels and strict quotas — this project developed a toolbox of 9 socio-ecological models that simulate how fishing activities affect biodiversity. This allows you to predict the impact of your operations on seabed habitats and adjust strategies to avoid regulatory penalties.
If you are a consultancy dealing with complex environmental impact reports for clients — this project developed a user-centric interface and NLP AI for policy analysis. This enables you to run 'what-if' scenarios and provide data-backed decision support for marine management strategies.
If you are a regulator dealing with the challenge of balancing economic growth and ocean health — this project developed an interoperable data lake and visualization tools. This helps you implement management strategy evaluations to account for the costs and benefits of new marine policies.
Based on available project data, the toolbox provides open-source models, suggesting that the core software components may be available without a direct purchase price.
Yes, the project is designed to generalize broadly across EU waters while allowing users to tailor scenarios to their specific local twins by inputting their own data.
Based on available project data, the project emphasizes open-source interchangeable models and FAIR data principles, though specific licensing agreements are not detailed.
It uses a central data lake that complies with INSPIRE and OGC standards to ensure data interoperability and harmonization of biological and socio-economic datasets.
The project period runs from 2024-05-01 to 2027-04-30, with initial model development and data lake establishment occurring between May 2024 and October 2025.
The consortium is well-balanced for technology transfer, consisting of 8 partners across 7 countries. With a 25% industry ratio (2 industrial partners and 3 SMEs), there is a clear bridge between academic research and commercial application. The presence of research institutes and universities ensures scientific rigor, while the SMEs provide the agility needed for user-centric interface development.
Contact NORCE RESEARCH AS in Norway for technical integration details.
Contact us to find out how to integrate these open-source ocean models into your business strategy.
