Mathematics for safer medicine
Natural sciences continuously produce larger and more complex data sets – using elaborate sensor technology or computer simulations. But can researchers be sure that the results of their computer simulations are reliable and accurate enough even if some aspects of the system under consideration are not exactly known? The new research group "Data Mining and Uncertainty Quantification" at the Heidelberg Institute for Theoretical Studies (HITS) wants to shed light on this question. With Prof. Vincent Heuveline as group leader, six researchers focus on the analysis of large data sets and on the calculation of uncertainties within technical systems. They use state-of-the-art technology from the areas of High Performance Computing and Cloud Computing.