ADVANCING PANDEMIC PREPAREDNESS AND RESPONSE THROUGH HIGH-QUALITY DATA AND AI
- Funded by European Commission
- Total publications:0 publications
Grant number: 101290677
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Key facts
Disease
Disease XStart & end year
20262030Known Financial Commitments (USD)
$8,012,763.77Funder
European CommissionPrincipal Investigator
N/A
Research Location
AustraliaLead Research Institution
IDENER RESEARCH & DEVELOPMENT AIEResearch Priority Alignment
N/A
Research Category
Epidemiological studies
Research Subcategory
Impact/ effectiveness of control measures
Special Interest Tags
Data Management and Data Sharing
Study Type
Unspecified
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Unspecified
Vulnerable Population
Unspecified
Occupations of Interest
Unspecified
Abstract
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.