Twinning for Optimized Decision Intelligence in Data-Intensive Environments

Dynamic decision-making in large-scale uncertain systems poses significant challenges in modern data-rich operational environments.

Traditional decision support systems struggle to manage vast and complex datasets in real time, while handling multiple conflicting objectives of high-dimensional problems and ensuring fairness and transparency in decision-making.

A fundamentally new perspective is necessary to address these challenges by adopting a holistic, cross-disciplinary approach that bridges the realms of Artificial Intelligence (AI) and Operations Research (OR).

This approach will pave the way for the next-generation Decision Intelligence systems, driving sustainable development and economic growth.TwinODIS is a transformative project aimed to revolutionize data-driven large-scale decision optimization through the integration of AI technologies and OR analytical methods.

A group of excellence will be established in the emerging field of Large-Scale Decision Intelligence, by twinning the Institute of Computer Science at the Foundation for Research & Technology-Hellas (FORTH, Greece) with two internationally-leading research institutions, namely, the Laboratory of Informatics Paris Descartes, Universit Paris Cit (UPC, France) and the Erasmus School of Economics, Erasmus University Rotterdam (EUR, Netherlands).

The project leverages comprehensive knowledge transfer, training and networking programmes to elevate FORTH's scientific profile and research capacity, foster an innovation culture to attract industrial investments, engage in competitive EU projects, and enrich the skills of senior scientists in administrative and management aspects, positioning FORTH as a prominent AI-driven Decision Science Hub in Greece and South-Eastern Europe.