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SynoSys is Complexity Science. The spirit and perspectives that Complexity Science offers pervade the Center, its people and their activities. We investigate phenomena that seem unrelated at first glance. Yet, we seek and search for underlying rules that connect them. We have an anti-disciplinary attitude, we are neo-generalists, we transcend the borders of traditional disciplines. We explore, we do science with a compass, rather than a map.
We get lost in science.
At SynoSys, we bring together Data Science, Dynamical Systems, Network and Computational Social Science, and Citizen Science to explore complex phenomena. We analyze large, heterogeneous datasets from everyday and digital technologies, model dynamic processes such as epidemics or collective behavior, uncover universal patterns in networks, and engage citizens as active contributors to research – always with an empirical foundation, methodological diversity, and integrative perspectives.
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The SynoSys team brings together people from different fields, backgrounds and research cultures. We come from physics, computer science and related areas. Some work with data, others build models or focus on theory. We approach problems in different ways and that is what makes the collaboration work. Our team is international. We share ideas, learn from each other and work closely together. There is no single way of doing things here. And that is exactly the point.
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