Advances were made in 2013 by the Advanced Systems Analysis (ASA) Program in stochastic downscaling, identifying structural changes in time series of socio-ecological transitions, and analyzing “big data" sets.
These analyses will contribute insights into a range of modeling tasks, for instance, enhancing IIASA's in- house GLOBIOM modeling framework, used primarily by Ecosystems Services and Management (ESM) as well as providing historical lessons on the ramifications of future possible sustainability transitions.
For more details on ASA's work in the field of mathematical statistics and data analysis, see below:
Driven by the demand from modeling applications, the Advanced Systems Analysis (ASA) Program has been developing several different approaches to gaining information from data using mathematical statistics. More
The Advanced Systems Analysis (ASA) Program in 2013 analyzed time series data of historic transitions to gain insights into how possible future transitions to sustainability might evolve. More
Currently emerging “big data” techniques are reshaping many fields of science into data science. The Advanced Systems Analysis (ASA) Program in 2013 began developing tools to gain added value from large data clusters. More