Referring to the methodological dimension of the IIASA’s mandate, the ASA Program’s overall mission is to advance systems analysis by substantiating the integration of systems methods and applied research on problems of global relevance and universal importance. Central to this mission is the exploratory development of mathematical methods and analytical techniques to investigate complex systems undergoing global change with a focus on an integrated, interdisciplinary approach.
ASA’s research is organized around three mutually complementing and cross-fertilizing methodological research domains.
More info is available under the following links:
In accordance with its strategy, ASA is actively maintaining and expanding its network consisting of methodologists, applied scientists and decision-makers all over the world, and, based on it, develops international and interdisciplinary collaboration.
Last edited: 08 September 2016
Li Z, Wang Z, Liu X, Fath B, Liu X, Xu Y, Hutjes R, & Kroeze C (2019). Causal relationship in the interaction between land cover change and underlying surface climate in the grassland ecosystems in China. Science of the Total Environment 647: 1080-1087. DOI:10.1016/j.scitotenv.2018.07.401.
Li J, Zhang Y, Liu N, Fath B, & Hao Y (2018). Flow analysis of the carbon metabolic processes in Beijing using carbon imbalance and external dependence indices. Journal of Cleaner Production 201: 295-307. DOI:10.1016/j.jclepro.2018.07.306.
Auad Guillermo, Blythe Jonathan, Coffman Kim, & Fath Brian (2018). A dynamic management framework for socio-ecological system stewardship: A case study for the United States Bureau of Ocean Energy Management. Journal of Environmental Management 225: 32-45. DOI:10.1016/j.jenvman.2018.07.078.
Fiscus DA & Fath B (2018). Foundations for Sustainability: A Coherent Framework of Life-Environment Relations. Academic Press. ISBN 9780128114605
Naqvi A & Stockhammer E (2018). Directed Technological Change in a Post-Keynesian Ecological Macromodel. Ecological Economics 154: 168-188. DOI:10.1016/j.ecolecon.2018.07.008.
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Watanabe C, Naveed K, Tou Y, & Neittaanmäki P (2018). Measuring GDP in the digital economy: Increasing dependence on uncaptured GDP. Technological Forecasting and Social Change DOI:10.1016/j.techfore.2018.07.053. (In Press)
Wildemeersch Matthias, Ronald Chan Wai Hong, Rovenskaya Elena, & Quek Tony QS (2018). Characterization and Control of Conservative and Non-conservative Network Dynamics. IFAC Journal of Systems and Control 5: 22-29. DOI:10.1016/j.ifacsc.2018.07.002.
Eker S, Reese G, & Obersteiner M (2018). Meat or not? - A model-based analysis of the global diet change dynamics. In: 36th International Conference of the System Dynamics Society, 6-10 August 2018, Reykjavík, Iceland.
Fischer-Kowalski M, Rovenskaya E, Krausmann F, Pallua I, & Mc Neill JR (2018). Energy transitions and social revolutions. Technological Forecasting and Social Change DOI:10.1016/j.techfore.2018.08.010. (In Press)
International Institute for Applied Systems Analysis (IIASA)
Schlossplatz 1, A-2361 Laxenburg, Austria
Phone: (+43 2236) 807 0 Fax:(+43 2236) 71 313