Objective
The ocean plays an important role in regulating the climate on our planet. Central is microscopic size, planktonic organisms, which play a crucial role in maintaining the delicate balance of Earth’s ecosystems. Phytoplankton and zooplankton form the foundation of marine food webs, serving as primary food sources for marine species. Additionally, phytoplankton contributes significantly to global oxygen production through photosynthesis. Despite their importance, ocean and coastal waters face threats such as plastic waste, eutrophication, chemical pollution, etc., thus damaging key ecosystems.
To unlock strategies for ocean preservation and restoration new solutions are needed. The inherent challenge in such a quest is the vastness and inaccessibility of the ocean making collection of central biological information difficult. To meet this challenge, BlueOcean proposes a team of 13 Doctoral Candidates to develop a new framework for monitoring and characterization of marine ecosystems integrating novel photonics instruments and artificial intelligence (AI). AI algorithms will be developed to automatically translate vast hyperspectral, 2- or 3-D spatial data into color coded images from which classification or quantification of plankton species or microplastic is derived. Hereby an objective method is offered replacing laborious manual sampling and evaluation.
BlueOcean sensor technology will work alone or be installed on autonomous underwater vehicles (AUVs) to provide a full sensor platform for monitoring large marine habitats. Improved geolocation will allow the AUV to revisit the same location, thus sensing, dynamically, environmental changes over time. The sensor platform and instrumentation will be tested in several marine applications ranging from marine restoration programs to the identification of salmon lice. BlueOcean will, in the end, provide 13 experts in the newest AI-based photonics sensor technology, AUVs and marine biology/ecology.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology materials engineering colors
- natural sciences physical sciences astronomy planetary sciences planets
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
- natural sciences earth and related environmental sciences environmental sciences pollution
- natural sciences biological sciences botany
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-DN - HORIZON TMA MSCA Doctoral Networks
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2025-DN-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
2800 Kongens Lyngby
Denmark
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.