Welcome to the Complexity Science Hub!

Since 2016, the Complexity Science Hub has conducted independent science for a better understanding of our complex world. We advance progress by extracting meaning from the enormous amounts of data representing our planet in its various dimensions: the economy, human migration, health and disease, climate crisis, social values, urban development, conflict, and more. Our research approach lets us see the world in a new way, as interconnected, dynamic, co-evolving, extensive networks, that allow us to understand these complex systems and identify their weaknesses and strengths. Using this knowledge, we can make evidence-based statements about how complex systems will respond to change and propose realistic interventions to move them in a positive direction for society. In other words, we want to find solutions for a better world.

We employ more than 70 independent researchers who together cover knowledge in disciplines ranging from algorithms to zoonoses and everything in between. Each researcher has a breadth of expertise – most often a disciplinary specialization (e.g., sociology, economics, medicine) in addition to physics, computation, and/or applied mathematics. We are unified by the vocabulary of complexity science – a set of computational, mathematical, data analytic, and modeling tools. While the majority of our researchers are established scientists working at the forefront of complexity science, one-third are doctoral students. Their unique transdisciplinary training at the Complexity Science Hub qualifies them to contribute to the global challenges ahead and to bring complexity science into new sectors.