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GeoAI toolbox for Epidemic Intelligence

Objective

GeoAI4EI will develop an open-source, trustworthy, & ethical Artificial Intelligence (AI) toolbox to strengthen European and global epidemic intelligence (EI) for pandemic preparedness and response.

Building on the Horizon 2020 MOOD platform & state-of-the-art geospatial and epidemiological modelling, GeoAI4EI will integrate multi-source data (epidemiological, mobility, environmental, ecological, Earth Observation, & socio-economic) with advanced AI, including Large Language Models (LLMs) & retrieval-augmented conversational assistants.

Co-produced with researchers, public health (PH) agencies, policymakers, & supranational bodies (ECDC, HERA, WHO), the toolbox will enable early detection, monitoring, & scenario-based management of high-risk pathogens, including zoonotic spillovers & climate-driven threats.

GeoAI4EI is designed around core ethical and legal safeguards: all data will comply with GDPR, Data Sharing Agreements, & anonymisation standards. Developed AI tools will conform to the EU AI Act, FAIR & CARE principles, and independent ethical audits. By integrating fairness-by-design pipelines (bias audits, sex/gender covariates & analyses ), transparency measures (model cards, uncertainty visualisation), & safeguards against over-reliance or misuse, the project will enhance strategic effectiveness. Digital inclusion is ensured by open-source, lightweight platforms & training programmes for resource-limited contexts. Cybersecurity is reinforced through EU-based secure hosting, encryption, & role-based access.

By embedding ethics & inclusiveness in its methodology, GeoAI4EI will enhance trust in AI-driven PH tools, reduce inequalities in pandemic preparedness, & ensure interoperability with EU infrastructures (EHDS, ATHINA). The project outputs will improve real-time decision support for epidemic preparedness across Europe & associated countries, whilst contributing to global health security through equitable, ethical, & sustainable digital innovation.

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-HLTH-2025-01

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Coordinator

STICHTING OPENGEOHUB
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.

€ 1 148 620,00
Address
CARDANUSLAAN 26
6865 HK DOORWERTH
Netherlands

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Oost-Nederland Gelderland Arnhem/Nijmegen
Activity type
Research Organisations
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.

€ 1 148 620,00

Participants (10)

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