In Dynaslum (see Michael Lees and Peter Sloot aim to build high-resolution agent-based models that can describe the growth dynamics of slums in Bangalore. Such a model will create a virtual slum that decision-makers, and researchers, can use to explore how different policies would influence the growth, development or contraction of slums. This involves developing new computational methods for analyzing satellite images and new data visualization techniques for simulation steering.

In eMusc Alfons Hoekstra plans to develop generic methods and efficient algorithms for sensitivity analysis and uncertainty quantification for multiscale modelling & simulation and to test, validate and apply these methods on a sufficiently large portfolio of multiscale applications. The research and development will be executed in close collaboration with the FET-HPC ComPat project.