• Energy Research

Abstract Decision-makers aiming to improve food security, livelihoods and resilience are faced with an uncertain future. To develop robust policies they need tools to explore the potential effects of uncertain climatic, socioeconomic, and environmental changes. Methods have been developed to use scenarios to present alternative futures to inform policy. Nevertheless, many of these can limit the possibility space with which decision-makers engage. This paper will present a participatory scenario process that maintains a large possibility space through the use of multiple factors and factor-states and a multi-model ensemble to create and quantify four regional scenarios for Southeast Asia. To do this we will explain 1) the process of multi-factor, multi-state building was done in a stakeholder workshop in Vietnam, 2) the scenario quantification and model results from GLOBIOM and IMPACT, two economic models, and 3) how the scenarios have already been applied to diverse policy processes in Cambodia, Laos, and Vietnam.

Abstract This paper uses security-in-depth principles to provide practical guidance for the design of physical security in complex infrastructures. Working from the central tenet of security-in-depth, that the strength of security comes from the coherence of the entire security system rather than just the technical excellence of sub-systems, a practical framework is constructed for assessing the risk reduction of an infrastructure security design proposal. In this way, alternative proposals may be evaluated for their effects on the overall security risk to a system, taking into account a broad threat and hazard space. The approach includes explicit consideration of organizational factors and management structures, ensuring that the design is consistent with enterprise objectives as well as internal and external policy and legal constraints.

Abstract Morphological analysis allows any number of dimensions to be retained when framing future conditions, and techniques within morphological analysis determine which combinations of those dimensions represent plausible futures. However, even a relatively low number of dimensions in future conditions can lead to hundreds or even thousands of plausible future scenarios. Creating highly diverse but conceivable visions of the future in which to explore decision-making, exploratory futures techniques rely on the selection of a small number of plausible scenarios from the larger set. In this paper we describe a new method for finding maximally diverse sets containing a small number of plausible scenarios from a multi-dimensional morphological analysis. It is based on a mathematical optimization of diversity that is robust to the uncertainty in the framing of future factors and states and in what stakeholders might consider diverse combinations of those factors and states. We also describe implementation of the method as a software tool and its performance in recent exploratory scenario development by CGIAR and partners for regional environmental change, food security and livelihoods.