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Digital Twin-sustained 7D for the complex interplay between the climate and biodiversity crises including social-economic factors

Objective

TerraTwin project aims to develop a holistic DTE (Digital Twin of Ecosystem) tool, to better understand the complex interplay between climate change and marine and terrestrial biodiversity. This will be accomplished by leveraging existing multiparametric data from various sources, for marine, land, soil and atmospheric biodiversity, which will be used to feed and train the DTE, which in turn will offer innovative features, such as data analytics anomaly detection, predictive capabilities, feedback loops, policy recommendations and connection with other tools and databases. The following advanced solutions will be integrated to the DTE, to meet its goals: a) Advanced data harmonization to unify and standardize different types of collected biological and environmental data, b) Big data to handle diverse types of datasets, c) Blockchain technology to enhance the functionality, security, traceability and trustworthiness, d) Gathering and harmonizing of Historical and near real time data from existing data bases and on the field activities for climate and biodiversity, d) AI and machine learning, an “in-silico” approach will be enforced to recompile all available physiological information as maps for different key or iconic species, in order to match the different physiological scenarios with changing environmental conditions as mechanism to predict biodiversity changes, as predicted for the different areas by the International, panel for the Climate Change (IPCC), e) DTE integration GUI, f) Simulation for various climatic scenarios based on the selection of areas and environmental data, g) Socio-economic modelling integrating environmental data with human activity patterns, providing a holistic view of how climate and biodiversity changes impact communities and economies and h) Environment-species mapping modelling links species distribution with environmental conditions, enabling the identification of potential habitats and the assessment of biodiversity resilience.

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.

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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)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

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.

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.

HORIZON-RIA - HORIZON Research and Innovation Actions

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-MISS-2024-CLIMA-01

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Coordinator

NETCOMPANY S.A.
Net EU contribution

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.

€ 461 125,00
Address
RUE NICOLAS BOVE 2B
1253 Luxembourg
Luxembourg

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Region
Luxembourg Luxembourg Luxembourg
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost

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.

€ 461 125,00

Participants (13)

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