AIIC AI Intelligence Centre

SOURCE-LINKED INTELLIGENCE

Integration of biodiversity monitoring data into the Digital Twin Ocean

CORDIS · observation · Publication date unknown

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.