System resilience has many dimensions and therefore is difficult to quantify. ASA research has identified some measures that could be used, such as the system efficiency-redundancy balance. This can be applied to a range of ecological and human-made systems and hence inform actual governance and public policy for sustainable development of coupled natural-social systems.
Resilience goes hand in hand with sustainability; however, this field is fraught with uncertainties. ASA researchers have been working to represent and analyze uncertainties as comprehensively as possible, and to develop methods that can lead to improved decision-making under uncertainty. Notably, this work extends to increasing our understanding of the uncertainty in estimating greenhouse gas (GHG) emissions, helping to pave the way towards their efficient mitigation.
Researchers in the Advanced Systems Analysis (ASA) Program contribute to the understanding of sustainability by applying the experiences of their particular studies, each of which deals with the concept in its own way. This allows for development of diverse, system-analytic approaches to quantifying sustainability. More
Greenhouse gas (GHG) emissions are a particular challenge for sustainability. Decisions need to be made now to avoid unsustainable futures, but the basis for these decisions, in terms of both data and models, encompasses vast inherent uncertainties. Proper accounting of uncertainties when verifying mitigation efforts and analyzing scenarios of future emissions is the focus of several Advanced Systems Analysis (ASA) Program studies. More
Last edited: 15 March 2016
International Institute for Applied Systems Analysis (IIASA)
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