Our Vision

Future challenges posed by complex systems require a fundamental understanding of their networked structure. CASUS envisions to master those challenges by processing an unprecedented amount of high-fidelity data with novel machine learning and highly parallel computing technologies. We combine innovative methods from mathematics, systems theory, data and computer science to advance data-intensive systems research across disciplines.