Decision support tools and applications are developed, which are traditionally based on the optimization of a utility describing decision-maker’s preferences. In this domain, ASA researchers employ and advance methods of optimization theory, control theory, theory of dynamic systems, and other related fields. Applications mostly focus on economic models, notably, long-term economic growth (also under environmental constraints) and resource management models.
Advanced Systems Analysis (ASA) Program researchers develop and study stylized economic growth models and advance methods of the optimal control theory needed to analyze such models. Long-term economic growth is driven by the dynamics of natural, physical and human capital; an extended form of these models also includes feedback with the environment under uncertainty. More
Advanced Systems Analysis (ASA) Program researchers model interconnected food, water, and energy systems and advance methods of stochastic optimization with the aim of suggesting robust management strategies with respect to inherent uncertainties and risks. More
Advanced Systems Analysis (ASA) Program researchers develop and analyze stylized models of biological populations (e.g., fish and forests), in which individuals’ growth significantly depends on their size or age and on the size or age of others. The aim is to understand the consequences of various management strategies and to reveal which management principles can optimize typical economic (e.g., profit) and environmental (e.g., biodiversity) objectives. More
Last edited: 31 January 2019
International Institute for Applied Systems Analysis (IIASA)
Schlossplatz 1, A-2361 Laxenburg, Austria
Phone: (+43 2236) 807 0 Fax:(+43 2236) 71 313