To meet ambitious global decarbonization goals, electricity system planning and operations
will change fundamentally. With increasing reliance on variable renewable energy …

The benefits of autonomous vehicles (AVs) are widely acknowledged, but there are
concerns about the extent of these benefits and AV risks and unintended consequences. In …

This open access book focuses on both the theory and practice associated with the tools
and approaches for decisionmaking in the face of deep uncertainty. It explores approaches …

A highly uncertain future due to changes in climate, technology and socio-economics has
led to the realisation that identification of “best-guess” future conditions might no longer be …

In this paper, we have reviewed various approaches to defining resilience and the
assessment of resilience. We have seen that while resilience is a useful concept, its diversity …

The third edition of this highly regarded book provides a concise and accessible introduction
to the principles and elements of policy design in contemporary governance. It examines in …

Robustness is being used increasingly for decision analysis in relation to deep uncertainty
and many metrics have been proposed for its quantification. Recent studies have shown that …

There is increasing interest in long-term plans that can adapt to changing situations under
conditions of deep uncertainty. We argue that a sustainable plan should not only achieve …

There is a growing interest in model-based decision support under deep uncertainty,
reflected in a variety of approaches being put forward in the literature. A key idea shared …

In every decision problem there are things we know and things we do not know. Risk
analysis science uses the best available evidence to assess what we know while it is …