Synergy of Systems Science

Network Science

Network science pervades our research. It offers new perspectives on many complex systems in biology, social science and technology. Network science can reveal hidden structures in complex systems and, more importantly, point out similiarities beween systems that may seem unrelated at first glance and identify universalities and fundamental design principles. Network science plays a key role in our research on human mobility, infectious disease dynamics, and computational social science.

Network Science

Data Science

Most of what we do at SynoSys is based on data. We share an affection for large scale, heterogeneous datasets obtained in natural experiments, so data that was not generated with a scientific intention but rather as a byproduct of typically digital technologies, like cell phones, individual mobility patterns, online platforms, social media and citizen science projects. In data science we emphasize the explorative nature of science. Metaphorically speaking, we do data sciences without a map - just with a compass, curiosity and intuition.

Data Science

Dynamical Systems Science

Almost all systems we investigate at SynoSys are dynamic. We are interested in complex dynamical systems, e.g. the spread of infections in a population, evolutionary processes, behavior and adaptation, collective behavior, pattern formation, to name a few. Unsurprisingly, dynamical systems science is a core methodological area at the center. Particularly in conjunction with network science we are trying to understand the connection between network structures and their imprint on dynamical phenomena that are driven by them.

Dynamical Systems Science

Citizen Science

SynoSys is not only about bridging gaps between traditionally disconnected scientific disciplines. We are also about removing barriers between the scientific community and the public. Digital technologies of today permit the creating of citizen science projects and citizen science experiments in which citizens contribute in large scale data donation projects, engage in the scientific discourse, participate on all levels in the knowledge creating process. A good example is the Corona Data Donation Project which we launched during the COVID-19 pandemic.

Citizen Science