Facts in Domhof Hall

Prof. Dr. Simeon showed how mathematical models and simulations shape our understanding of reality and influence our decisions, and what opportunities and risks this holds for science, technology, and society. On the basis of numerous examples from climate modeling, technology, and infectiology, Simeon demonstrated how faulty model assumptions or inadequate data can engender misleading forecasts and serious errors. The increasing displacement of classic models by machine-learning AI applications makes transparency even more difficult, Simeon continued. He advocated heightened awareness when dealing with simulations and presented strategies for the validation of results; these strategies were examined in greater detail in the following discussion.