A broad challenge for the 21st Century is a quantitative understanding of complex systems, from human nervous systems and weather prediction to biochemical regulation of genetic processes and ocean dynamics. A broad challenge within the many realms of complex behaviour of the world around us is to transfer information from measurements on each interesting set of processes to predictive mathematical models of those processes. These measurements are usually sparse, revealing only a small subset of the important quantities of interest.
We require a practical, accurate framework in which to utilize what we can measure to ascertain what we cannot measure and then predict what complex futures we can expect. This talk will describe the complexities in the quantitative study of complexity and indicate the steps we are taking to address them.
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