About Us

The Analysis under Uncertainty for Decision-Makers Network (AU4DM) is interested in understanding decision-making from an end-to-end perspective, including:

  • Problem definition and framing;
  • The tools available to assist decision-makers and their value in making decisions;
  • The interactive processes that take place between decision-makers, policy makers, and analysts;
  • Explaining risks and uncertainties; and
  • Communicating to relevant audiences throughout the decision making process.

The Network’s members wish to better understand decision-making from policy, academia, and industry sectors both UK-centric and internationally.

A Steering Committee directs the activities of the Network and engages with different sectors in order to ensure its relevance to Network members.

The Network is a community of researchers and professionals from policy, academia, and industry who are seeking to develop a better understanding of decision-making, to build capacity and improve the way decisions are made across sectors and domains.

AU4DM believes that taking a holistic view of the processes around decision-making will improve the decisions at each point within an overarching decision ‘system.’

Our work is aimed at decision-makers. The Network defines decision-makers as those who are engaged in the cognitive process resulting in the selection of a belief, or a course of action, among several alternative possibilities, which produces a final choice—which may or may not prompt action. They are involved in the process of identifying and choosing alternatives based on values, preferences, and beliefs.

AU4DM was launched in May 2015 with the express aim to provide a better understanding of problems faced by decision-makers in terms of:

  • What they want to inform their decisions
  • The institutional architectures within which decisions are made; and
  • The circumstances and incentives decision makers have to make their decisions.
AU4DM believes that taking a holistic view of the processes around decision‑making will improve the decisions at each point within an overarching decision-‘system.’