AurorAI is officially underway after the international consortium's successful kickoff. The mission: give Europe an AI toolkit that's ready before the next outbreak, not after it. Its data backbone: the OriginTrail Decentralized Knowledge Graph (DKG). 14 partners. 10 countries. One platform. @AURORAI_project unites research institutes and universities, public health authorities, healthcare providers and technology companies. The platform will be put to the test at national and local level, and the public health partners show the scale: from Turkey's Ministry of Health, covering a country of 86 million people, to Belgium's national public health institute and a regional hospital network in Catalonia. At the kickoff, @DrevZiga, co-founder of OriginTrail, walked the consortium through how the DKG keeps every partner's data verifiable, sovereign and AI-ready. How it works: → Ownership. Health and research data becomes Knowledge Assets on the DKG, each with a Uniform Asset Locator (UAL): blockchain-backed proof of who published it and that it hasn't been tampered with. → Sovereignty. Context graphs control which regions see which metadata. The data itself stays where it is. → Verification. Partners submit data proofs through DKG nodes and check authenticity on-chain, instantly. → Interoperability. Shared ontologies and data standards make data from different countries and institutions work together. Then the AI agents get to work. That verified layer is the first input to AURORAI's decision support system, alongside pathogen models and population and mobility simulations. The result: policy guidance for ministries of health, and coordinated clinical and scientific guidance for healthcare providers and authorities. Every recommendation traces back to a verifiable source.