There are important interactions between climate and air quality strategies, and development, economic and social policy objectives. However, maximizing the potential co-benefits from these - well-documented - interactions poses a host of complex challenges to decision makers. Unless put into context, these interactions could not only prohibit a cost-effective solution to both problems, but also lead to important trade-offs that unnecessarily waste important resources.
Model analyses, based on latest scientific findings and validated data, can provide valuable information on the design of (cost-)effective strategies that meet multiple policy objectives and yield potentially large economic synergies.
With an interdisciplinary team of researchers, MAG builds innovative methodologies that bring together relevant insights from recent research on geo-physical and economic aspects of pollution control. The program develops advanced analytical tools to identify pollution control strategies that put least burden to the economy while maximizing a wide range of environmental benefits. Together with a network of collaborators, MAG uses these tools to inform international negotiations and national planners in different regions of the world.
Global and regional climate impacts of black carbon and co-emitted species from the on-road diesel sector
Atmospheric Environment, 98:50-58 (December 2014) (Published online 14 August 2014) More
Collective intelligent toolbox based on linked model framework
Journal of Intelligent and Fuzzy Systems, 27(2):601-609 (26 August 2014) (Published online 12 December 2013) More
A European perspective of innovations towards mitigation of nitrogen-related greenhouse gases
Current Opinion in Environmental Sustainability, 9-10:37-45 (October 2014) (Published online 15 August 2014) More
Last edited: 17 April 2014
International Institute for Applied Systems Analysis (IIASA)
Schlossplatz 1, A-2361 Laxenburg, Austria
Phone: (+43 2236) 807 0 Fax:(+43 2236) 71 313