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
Eker S & Kwakkel JH (2018). Including robustness considerations in the search phase of Many-Objective Robust Decision Making. Environmental Modelling & Software 105: 201-216. DOI:10.1016/j.envsoft.2018.03.029.
Komendantova N & Stepanova A (2018). Impacts of Risk Perceptions on Foreign Direct Investment in Energy Generation and Transmission Projects in Russia. Energy Systems Research: 44-50. DOI:10.25729/esr.2018.01.0005.
Jonas M, Zebrowski P, & Jarnicka J (2018). The crux of reducing emissions in the long-term: The underestimated “now” versus the overestimated “then”. In: 19. Österreichischer Klimatag, 23 –25 April 2018, Salzburg, Austria.
Vilkkumaa E, Liesiö J, Salo A, & Ilmola-Sheppard L (2018). Scenario-based portfolio model for building robust and proactive strategies. European Journal of Operational Research 266 (1): 205-220. DOI:10.1016/j.ejor.2017.09.012.
Zhang Y, Wu Q, & Fath B (2018). Review of spatial analysis of urban carbon metabolism. Ecological Modelling 371: 18-24. DOI:10.1016/j.ecolmodel.2018.01.005.
Bun R, Nahorski Z, Horabik-Pyzel J, Danylo O, See L, Charkovska N, Topylko P, Halushchak M, et al. (2018). Development of a high-resolution spatial inventory of greenhouse gas emissions for Poland from stationary and mobile sources. Mitigation and Adaptation Strategies for Global Change: 1-28. DOI:10.1007/s11027-018-9791-2.
Jonas M, Zebrowski P, & Jarnicka J (2018). Towards Handling Uncertainty in Prognostic Scenarios: Advanced Learning from the Past. IIASA Report. Vienna, Austria: Austrian Academy of Sciences
Orlov S, Rovenskaya E, Puaschunder J, & Semmler W (2018). Green bonds, transition to a low-carbon economy, and intergenerational fairness: Evidence from an extended DICE model. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-18-001
Ren M, Xu X, Ermolieva T, Cao G-Y, & Yermoliev Y (2018). The Optimal Technological Development Path to Reduce Pollution and Restructure Iron and Steel Industry for Sustainable Transition. International Journal of Science and Engineering Investigations 7 (73): 100-105.
Patten BC & Fath B (2018). Notes from an introductory course on Field Systems Ecology. Ecological Modelling 368: 33-40. DOI:10.1016/j.ecolmodel.2017.11.014.
International Institute for Applied Systems Analysis (IIASA)
Schlossplatz 1, A-2361 Laxenburg, Austria
Phone: (+43 2236) 807 0 Fax:(+43 2236) 71 313