The aim is to understand the dynamics of such systems to gain insights into the mechanisms behind global challenges, including economic shifts, supply shortages, the climate crisis, pandemics, artificial intelligence, cybercrime, and social crises.

To extract meaningful information from these datasets for decision-making support, CSH researchers develop new paradigms, approaches, methods, and tools using advanced techniques, such as machine learning and artificial intelligence.

In 2024, CSH – with the support of Austrian federal ministries – established the Digital Innovation School, an umbrella structure for research training at the doctoral and postdoctoral levels.

Unique features of the DIS PhD program include an annual series of master classes and two research experiences outside of academia.

It offers themed worksheets that use interactive data visualizations and dashboards to introduce students playfully to the world of science, demonstrate its application to everyday topics, and spark their curiosity.

The CSH is also embedded in an international network of complexity research centers, including the Santa Fe Institute in New Mexico, Arizona State University, the Centro Brasileiro de Pesquisas Físicas (CBPF) in Rio de Janeiro, Sapienza University of Rome, and the Institute for Advanced Study (IAS) in Amsterdam.