Robust solutions for regional food-water-energy security management under extreme events were developed by quantile-based stochastic optimization approaches.
Design of robust financial instruments for global carbon emission reduction under uncertainty was considered.
The role of prognostic and diagnostic uncertainties in GHG emissions were analyzed.
A novel decentralized emission trading process, developed by the Advanced Systems Analysis (ASA) Program, started to undergo review in 2013. More
Similarly to ecosystems, social systems – from firms to countries – are becoming more and more subject to various stressors whose effects penetrate throughout the system by means of social ties and economic links. The external disturbances here may be of political, economic, financial and even environmental nature. More
The Advanced Systems Analysis (ASA) Program has been been developing quantile-based stochastic optimization methods to produce solutions that are robust against growing economic, social, environmental risks with respect to all potential uncertainties. More
Total uncertainty in greenhouse gases (GHG) emissions changes over time due to “learning” and the structural change in the GHG emitters. Understanding uncertainty over time is important to improve setting emission targets in the future and was key to the Advanced Systems Analysis (ASA) Program's work in 2013. More
Last edited: 21 May 2014
International Institute for Applied Systems Analysis (IIASA)
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