The quest for knowledge about the world determines our approach to science and the ongoing technologization of our actions. Knowledge not only determines our perception of reality, but also the desire for control and mastery of that which is actually beyond our influence. With an understanding of the world, however, comes the possibility of prediction. This makes it possible to counter the risks and imponderables of a possible future and to counteract the expected consequences. One tool that enables this view into the future is simulation.

In simulations, a mostly simplified reality is reproduced in order to investigate different questions and applications. With the help of these models, theoretical assumptions or known facts can be checked in order to gain knowledge and to apply it again to the original object. This makes experiments, investigations or tests possible, which are either too dangerous, too complex or too cost-intensive on the real system. But also phenomena of reality that cannot be observed directly, that are too complex or to which we do not have access due to size or distance can be researched.

The series documents a variety of locations, spaces and experimental environments from the fields of scientific research, aerospace, medicine, astrophysics, energy and environmental research. The images range from the impenetrability of highly complex technical facilities to the backdrops of staged reality. The questions are what models do for gaining knowledge about reality, what is the relationship between model and represented reality and what necessities arise from dealing with imponderables.