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Ontologies as Catalysts in AI-Powered Convergence of Agriculture, Health and Wealth: Reality, Possibilities and Challenges

8 janvier - 10 h 00 min à 12 h 00 min

Salle des conseils P. Raynaud, bâtiment 11, Campus La Gaillarde
SEmantic web SeminAr MontpEllier (MISTEA) – Laurette DUBE McGill Center for the Convergence of Health and Economics

In a world ever more fractured, connected and interdependent at the same time, ontologies, with their linkages to data and AI algorithms, can serve as catalysts in the transformation at scale of systems as complex and dynamic as agriculture, food, health systems if these are to move toward the convergence needed for addressing recurrent modern crises. Each system involves multiple actors, processes, jurisdictions, geographies and temporal scales, with their convergence relying on next-generation human-human, human-machine, machine-machine communication and interoperability. I will first present a roadmap (Dube et al 2012 ; 2014) bridging individual and collective action across typically-siloed disciplines and sectors to move toward such self-sustaining transformation for a world reset form economic convergence (i.e. the Rest converging with the West) to convergence economy (i.e., an economy where human health, planetary health, and sustained, inclusive prosperity can be achieved around the world). Second, taking health systems as entry point, I will report on early ontology development for real-time population health surveillance (PopHR, Here) and obesity prevention (COPE, Here). Thirdly, taking food as a key bridge domain between agriculture, health and wealth, I will discuss challenges and possibilities of recent collaborative work with ontologists and data scientists that push the boundaries of multi-domain and top-level ontology development, alignment, adaptation and federation, with the aim to specify engineering requirements for a real-world embedded digital backbone that can accelerate such whole-society transformation at scale.

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