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Project
DESCARTES - infectious DisEaSe eConomics and Ai with guaRanTEeS (iBOF/21/027)
In this proposal we focus on challenges regarding infectious diseases such as mitigating the COVID-19 pandemic, measles elimination and optimal influenza vaccination and draw motivation from fundamental questions with respect to health-care prioritisation. Advancements in the fields of epidemic modelling, health economics and multi-agent learning paired with formally-verified guarantees can improve the effectiveness and reliability of the complex decision-making mechanisms needed to answer such questions.
This complexity is situated in different aspects: the computational complexity, model structure and the interactions between multiple agents, in combination with multiple objectives to optimise. Our consortium establishes a unique combination of leading expertise, which as a team not only will advance each of these fields, but also develops a new, internationally unique, multidisciplinary research line.
This complexity is situated in different aspects: the computational complexity, model structure and the interactions between multiple agents, in combination with multiple objectives to optimise. Our consortium establishes a unique combination of leading expertise, which as a team not only will advance each of these fields, but also develops a new, internationally unique, multidisciplinary research line.
Date:1 Jan 2021 → Today
Keywords:Artificial intelligence, Mathematical modelling, Health economics, Formal verification, infectious disease
Disciplines:Machine learning and decision making, Computational logic and formal languages, Epidemiology, Health, education and welfare economics