CASUS - Center for Advanced Systems Understanding
In the future, understanding complex, networked systems will make a decisive contribution to mastering society's important challenges. For the first time in human history, novel digital methods will enable us to understand this complexity and master it by networking various scientific disciplines.
CASUS is planned as the centre for digital interdisciplinary systems research in Germany and is to occupy a leading international position in this up-and-coming field of research.
Digital interdisciplinary systems-research researches and develops the latest and most innovative methods from mathematics, modelling, simulation, data and computer science to solve questions from such diverse areas of systems research as earth system research, systems biology or materials research.
CASUS aims to bring together the best scientists from these fields at a joint institute in order to develop visionary ideas in interdisciplinary teams on how to master the complex challenges of the future with digital methods.
CASUS is to become the centre for digital interdisciplinary systems research in Germany. CASUS aims to create digital, dynamic "worldviews" of complex systems that combine large amounts of data about these systems with novel methods of modelling such systems in order to create a digital image of complex reality based on systems and their interactions and thus be able to make predictions. The understanding and predictability of the development of complex systems will become increasingly important in the coming years, e.g. for a better understanding of the development of complex organisms, the long-term development of the Earth system and the development of novel materials, and thus become increasingly important for research as well as for business and decision makers.
The underlying assumption of CASUS is that in the future this knowledge and understanding of the complexity and diversity of the world will experience disruptive change through the use of novel digital methods from big data and large-scale simulations. Systems research will play a central role in this, in order to conduct joint methodological research across scientific disciplines. CASUS will rethink the use of state-of-the-art technologies and methods. These should make the best possible use of existing technologies, decisively advance systems research with novel algorithms and design these methods in such a way that they are available to the broadest possible circle of scientists without specialist knowledge.
An institute with this orientation does not yet exist, which is why CASUS should become an attractive location for internationally leading experts who come from the various disciplines of systems research and its applications, method research for modelling and data analysis as well as mathematics and work together in interdisciplinary teams. CASUS aims to bring together the best minds for cutting-edge research in digital systems science in one place. In doing so, great importance is attached to innovative and unorthodox research approaches in order to overcome historically grown structures of individual disciplines and to promote interdisciplinary solutions. An essential part of the CASUS concept is an attractive international fellowship and workshop program for top international scientists.