Objective
AURORAI strengthens EU’s capacity to act swiftly and effectively against future pandemics, including unknown pathogens (Disease X), by harnessing AI and high-quality, trustworthy data. The project develops a unified platform of explainable, ethical, and fast-learning AI tools that address the key barriers to pandemic resilience: fragmented data, limited forecasting ability, weak early-warning systems, and complex decision-making under uncertainty. AURORAI delivers five main innovations. First, a Decentralised Knowledge Graph (DKG) will serve as EU’s trusted, FAIR-compliant data backbone, enabling secure, interoperable, and bias-aware cross-border data use while preserving sovereignty. Second, the Multi-Pathogen Disease X (MP-DX) Modelling Tool will provide rapidly adaptable, explainable models of disease dynamics, grounded in a One Health approach and enhanced by transfer learning for emerging threats. Third, the Early Warning and Outbreaks Prediction (EW-OP) Tool will combine demographic, behavioural, and mobility data to deliver in-time forecasts, “what-if” scenarios, and evaluation of pharmaceutical and non-pharmaceutical countermeasures. Fourth, an AI-agent based Decision Support System (DSS) will integrate heterogeneous data, expert knowledge, and causal reasoning into multi-criteria analyses, supporting proportionate and evidence-based interventions. Finally, a Knowledge Hub (KH) will ensure co-creation with healthcare professionals, policymakers, and citizens, enhancing transparency, trust, and uptake. By embedding social sciences and humanities expertise, AURORAI guarantees societal relevance, ethical compliance, and fairness in AI-driven preparedness. Validated across four use cases and levels (EU, national, and local), AURORAI will empower decision-makers with actionable intelligence, reduce the burden of future pandemics, and strengthen Europe’s health 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.
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.
- natural sciences computer and information sciences artificial intelligence machine learning transfer learning
- medical and health sciences health sciences public health epidemiology pandemics
- natural sciences computer and information sciences knowledge engineering
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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.2.1 - Health
MAIN PROGRAMME
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HORIZON.2.1.4 - Infectious Diseases, including poverty-related and neglected diseases
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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-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.
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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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.
41092 SEVILLA
Spain
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.