Decision-making under Uncertainty for COmplex systems (DUCO) team

Our vision: Bringing uncertainty-awareness and systems-thinking into everyday decisions.

We study uncertainty quantification (UQ) and decision-making in complex systems. Our vision is to make UQ and decision tools part of everyday decisions by overcoming current barriers, including high computational costs, memory demands, expertise requirements, and validation challenges. Realising this vision will not only reduce inefficiencies caused by unmanaged system complexity but also unlock the potential of complexity as a source of redundancy and resilience.
We aim to develop general tools applicable across diverse systems. Our interests include, but are not limited to, ageing structures and assets, transport networks, energy grids, and process plants.

Research

Bayesian network for
large-scale systems Optimisation and
decision-making
under uncertainty Community resilience and communication Validation

Toolkits

MBNPy: Bayesian network for large-scale systems

Applications

Infrastructure networks

Structural systems