The RIM group takes an interdisciplinary approach to decision systems.
The group's research focuses on problems of decision-support under
uncertainty using methods from computer science, statistics, machine
learning and psychology, to solve problems and challenges presented by
scale, complexity and variability. The research of the group is
world-leading in its unique combination of data centric methods with
hypothesis-driven approaches in which the power of advanced computing
is combined with the insights of human expert judgments. RIM
group members work with practitioners to produce intelligent
‘unified models’ that use both data and expertise as
inputs. These models are used to support inference and decision making
in a wide range of application domains, including medical, legal,
systems engineering, bioinformatics, security, risk and
safety.