Deep uncertainty relates to circumstances in which data are too sparse, experts are in too much disagreement or time is too short to model the uncertainty. As such, DMDU methods are focused on working in the Cynefin Complex Space context. Approaches emphasise robustness  and the use of scenarios, and often link well with scenario-focused robust Bayesian studies . DMDU studies draw in many other approaches to decision analysis, using them to identify robust rather than optimal strategies, as in robust decision-making . DMDU analyses can help decision makers to think contingently and build a more wide-ranging recognition of the risks. They often integrate with other classes of tools.
IPCC
Climate Change 2022: Impacts, Adaptation and Vulnerability
IPCC Report