IIASA has a long and successful history of developing systems-based, integrated solutions and policy advice for some of the world’s most pressing problems, including energy resources, climate change, environmental pollution, land use and sustainable development, risk and resilience, and population growth. These multiple dimensions require a unique approach that can link diverse complex systems. The IIASA research framework, discussed in detail in the Research Plan 2016-2020, shows how the institute can provide the holistic, systems analysis approach that is needed (Figure 1).
The previous IIASA research framework was divided into problem areas (e.g., energy and climate) and their drivers (e.g., economic and population growth) and impacts (e.g., environmental degradation). However, problems, drivers, and impacts are closely related elements of systems analysis, and advances in scientific understanding have shown that integrating drivers and impacts can give insights into innovative new solutions.
This framework provides both the foundation for the institute’s research direction over the next five years and the necessary flexibility to modify IIASA activities to accommodate changing scientific or policy priorities.
Last edited: 05 April 2016
Models and Tools
Höglund Isaksson L (2017). Bottom-up simulations of methane and ethane emissions from global oil and gas systems 1980 to 2012. Environmental Research Letters 12 (2): e024007. DOI:10.1088/1748-9326/aa583e.
Nava LF (2017). Peer review report 3 on “Economic Effects of a Reservoir Re-operation Policy in the Rio Grande/Bravo for Integrated Human and Environmental Water Management”. Journal of Hydrology: Regional Studies 9: p. 152. DOI:10.1016/j.ejrh.2016.12.048.
Kautzky-Willer A, Thurner S, & Klimek P (2017). Use of statins offsets insulin-related cancer risk. Journal of Internal Medicine 281 (2): 206-216. DOI:10.1111/joim.12567.
International Institute for Applied Systems Analysis (IIASA)
Schlossplatz 1, A-2361 Laxenburg, Austria
Phone: (+43 2236) 807 0 Fax:(+43 2236) 71 313