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#HorizonEU Project. Advancing pandemic preparedness and response through high-quality data and AI.

Joined August 2026
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GPMB calls for federated pandemic risk monitoring that connects existing systems. In AURORAI, we're going to develop a decentralised knowledge graph to support secure, interoperable data exchange across institutions and borders while preserving data sovereignty.
Global Preparedness Monitoring Board (GPMB) report Getting Ahead of Pandemic Risk gpmb.org/docs/librariesprovi…
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A country of 10 million people, each with their own routines, movements and reactions to risk. Predicting how an infection might spread means looking beyond the pathogen itself. This is where our Hungarian partner, Pázmány Péter Catholic University, comes into AURORAI ⬇️
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For AURORAI, PPKE will take its PanSIM model to a national scale, starting with Hungary. Its simulations will reflect differences in age, health, mobility and behaviour, allowing researchers to explore how outbreaks might unfold and how different responses could work.
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The latest GPMB report exposes a gap between scientific progress and political action on pandemic preparedness. For Europe, this raises another concern. Health threats cross borders, but responses remain largely national. That's why cross-border cooperation is central to AURORAI.
🚨As pandemic risks rise, 87% of political commitment initiatives have stalled, according to the Global Preparedness Monitoring Board. The panel is calling for independent oversight to turn warnings into action. Read the full report📰➡️healthpolicy-watch.news/pand… ✍️ @f_argonaut @theGPMB @WHO @WorldBank @FAO @WOAH @UNEP @AfricaCDC @Pandemic_Fund @UN @DrTedros
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Even Europe's largest countries cannot face emerging health threats alone. Treating pandemic preparedness as a national security priority makes sense, but real resilience depends on what we build together across borders, from shared data and research to tools for earlier action.
Global health and industry leaders are urging governments to treat pandemic preparedness as a national security priority, not a discretionary health expense, as funding falls and biological threats mount. 🔗➡️healthpolicy-watch.news/pand… ✍️ @f_argonaut @who @WorldHealthSmt @randcorporation @sipriorg @AfricaCDC @Chikwe_I @HelenClarkNZ
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When a new infectious disease emerges, scientists rarely have the full picture. Predicting its spread is even harder when early data are scarce. That’s where Greece’s @VCL_ITI, part of @CERTHellas, comes into AURORAI, with expertise in AI, machine learning and medical imaging.
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In AURORAI, @VCL_ITI leads work on AI-enhanced epidemiological models for Disease X. The aim is to learn from known pathogen families and adapt that knowledge to unfamiliar threats, helping researchers understand how an outbreak might develop before much is known.
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Detecting an outbreak is one thing. Knowing how to respond with incomplete information is another. To bridge that gap, we're developing AI-powered tools to anticipate how outbreaks might evolve and assess the impact of different responses.
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Preparing for possible future pandemics takes more than advanced AI models. It also depends on reliable data and technologies that work together. For @Vicomtech, our partner from San Sebastián and Bilbao, this is familiar ground, with years of experience in AI and digital health.
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In AURORAI, Vicomtech leads work on data quality, bias detection and synthetic data. It also helps develop our disease modelling and outbreak prediction tools, and will lead their integration into a single platform for pandemic preparedness.
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WHO’s 2030 strategy prioritises surveillance, early detection, data sharing and better decisions for pandemic preparedness. The @EU_Commission is already funding work in these areas. Through Horizon Europe, AURORAI is developing AI tools for outbreak prediction & decision support
Public health intelligence for a safer world WHO Hub for Pandemic and Epidemic Intelligence strategy 2026–2030 hub2030.info/who-hub-strateg…
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AURORAI starts in Seville, home to @idener, the organisation coordinating our consortium. IDENER works across engineering, science and software development, with expertise in machine learning, systems modelling, advanced control and optimisation.
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In AURORAI, their role goes beyond management, as they lead development of the AI-agent-based Decision Support System and oversee scientific and technical progress, with Ana Isabel Martín Perales and Lucía Gálvez del Postigo Gallego steering the consortium through the work ahead.
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When a new health threat emerges, decisions cannot always wait for complete information. AURORAI is developing one system that connects trusted data, disease modelling, early warning, outbreak prediction and decision support to help make uncertainty easier to manage.
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Science, on TRAC(k). Pandemic response depends on data held in many places at once: public health institutes, hospitals, ministries and research centers, each with its own systems and rules. @AURORAI_project is a €6.9 million Horizon Europe project, running from September 2026 to 2030, with 12 organizations in nine European countries and a partner in Australia. It is building Europe's AI toolkit for pandemic preparedness, including for pathogens not yet identified. Its data backbone is the OriginTrail Decentralized Knowledge Graph (DKG). How that works without a central data lake: → Partners publish health and research data as Knowledge Assets, each with a Uniform Asset Locator (UAL) that proves who published it and that it hasn't been tampered with → The data stays where it is; Context Graphs control which regions see which metadata → That verified layer is the first input to AURORAI's decision support system, alongside pathogen models and population and mobility simulations When a model recommends an intervention, the inputs behind it can be traced to their source. In public health, that is what makes a recommendation defensible. Trust the source. More: cordis.europa.eu/project/id/…
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Preparing for a future health threat means making decisions before every answer is available. AURORAI has begun four years of work on pandemic preparedness. Our first press release sets out the challenge, our approach and the consortium behind the project: zenodo.org/records/23236544
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An agreement matters, but action cannot wait for it to be finalised. In AURORAI, we have just started a four-year programme with adaptable models designed to support decisions when a future pandemic threat is still unknown. The aim is to enable earlier action despite uncertainty.
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Early action sounds simple. In practice, it means making sense of incomplete and fragmented information before a situation becomes obvious. This is the space AURORAI is working in, connecting early signals, modelling what may happen next and supporting decisions under uncertainty
Pandemic preparedness pays off. New #OECD analysis across 51 countries finds that acting early could prevent vast majority of deaths while limiting economic damage. Relying on lockdowns as a last resort could see GDP fall by up to 28.9%. Read more: brnw.ch/21x63gP
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Pandemic preparedness needs more than commitment. It also needs systems that can connect reliable data, modelling and decision support before and during a crisis. That is one of the challenges #AURORAI is working to address.
At #UNGA, world leaders renewed their commitment to preventing and preparing for future pandemics. Countries also stressed the urgent need to conclude negotiations on an annex to the WHO Pandemic Agreement that would establish the Pathogen Access and Benefit-Sharing (PABS) system. Read the full release here: bit.ly/3TRzJJd
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