IDS focuses on effective and efficient collection, storage, retrieval, analysis and use of information and data, and subsequent techniques to automate and inform decision-making.
Information and Decision Systems research group (IDS) conducts a broad range of research in analytical information and decision sciences. We focus on the effective and efficient collection, storage, retrieval, analysis and use of information and data, and subsequent computational and analytical techniques to automate and inform decision-making.
Our current research interests include information retrieval and data mining, multi-agent learning, game theory, machine decision making, and reinforcement learning, complex communication and social networks, and AI for health.
External collaborators include:
- Microsoft Research
- Public Health England
- Royal College of General Practitioners
- Statens Serum Institut, Denmark
- University of Copenhagen
- World health Organisation (WHO)