TwinODIS

As innovative AI technologies advance, dynamic decision-making becomes increasingly crucial in the ever-expanding Internet of Things (IoT) landscape. However, making dynamic decisions in large-scale uncertain systems poses challenges in modern data-rich operational environments. Traditional decision support systems are becoming obsolete in these settings, making it difficult to ensure fairness and transparency. The EU-funded TwinODIS project aims to revolutionise data-driven large-scale decision optimisation using AI technology and operational research analytical methods. The project will bring together specialists in computer science and large-scale decision intelligence from Dutch, French, and Greek research institutions. Through collaboration, extensive knowledge transfer, and training, the project seeks to advance the field. This project is funded by the European Union under #HorizonEU reseach and innovation programme (project 101160009). Any related posts reflect only the views of the project. #HorizonEU #ResearchImpactEU #EUInnovation