The behavior of such systems is too complex to be modelled by traditional tools; therefore, ASA experiments with qualitative (e.g., soft systems mapping) and quantitative (e.g., agent-based modeling) methods and approaches. The aim of these is to evaluate possible consequences of extreme shocks affecting the system under study and, based on that, system resilience. Novel methods of data analysis aiming to identify precursors of system flips and general patterns via learning from the past are developed. ASA research in this domain is currently emerging.
Based on the experience of their particular studies each of which deals with the issue of sustainability in its own way, researchers of the Advanced Systems Analysis (ASA) Program make contribution to understanding the foundations of the notion of sustainability and develop system-analytic approaches to quantifying it. More
Greenhouse gas (GHG) emissions are a particular challenge for sustainability. Decisions are to be made now to avoid unsustainable futures, but the basis for these decisions, both data and models, include vast inherent uncertainties. The Advanced Systems Analysis Program (ASA) research focuses on proper accounting of uncertainties when verifying mitigation efforts and when analyzing scenarios of future emissions. More
Last edited: 31 January 2019
Palokangas T (2016)
International Institute for Applied Systems Analysis (IIASA)
Schlossplatz 1, A-2361 Laxenburg, Austria
Phone: (+43 2236) 807 0 Fax:(+43 2236) 71 313