SOURCE-LINKED INTELLIGENCE
Integration of biodiversity monitoring data into the Digital Twin Ocean
ment of the DTO biological component and limiting its efficacy. DTO-BioFlow will activate access to (""sleeping"") marine biodiversity data and enable the sustainable integration of existing and new Artificial Intelligence processed and automated data flows from various sources to EMODnet and into the EDITO infrastructure serving the EU DTO. Combining sustained data flows, models and new algorithms, DTO-BioFlow will develop and integrate the biological component of the DTO, including new digital tools and services. Policy-relevant use cases, will demonstrate the benefit for marine ecosystems of continuous data streams flowing through EMODnet and usable by the EU DTO infrastructures and ultimate end-users. Mobilising the marine biodiversity community towards increasing the availability of biodiversity monitoring data into 2030, DTO-BioFlow and its outputs will support the Mission’s actions to protect and restore biodiversity." Marine Biodiversity, Marine Ecosystems, Data, Digital Twin Ocean, Modelling, Simulation, Prediction, High Performance Computing, Artificial Intelligence, marin
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 9452372.5
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T01:21:06.728Z. This is not the publication date.