Artificial intelligence and data analysis

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:

Advances in mathematical statistics

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

Structural changes in time series

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

Big data analysis

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

Last edited: 21 May 2014