MISSION - CSH

Mission


Build a special place for free thinking where creativity can unfold, and new ideas will thrive.

Fundamental challenges: a million problems to be solved


Climate change, financial market turbulences, worldwide urbanization tendencies, the growing number of natural disasters, effects of social media, migration: Coping with the Grand Challenges of the 21st century needs a deeper quantitative and predictive understanding of complex systems. The science of complex systems provides new methods and novel ways of fundamentally understanding these systems that were thought to be unintelligible only a few decades ago.

Complexity science links expertise of state-of-the-art mathematics, modelling, data and computer science, with specific questions posed from various disciplines, such as data-driven medicine, production processes and the future of the economy, systemic risks, and the nature of innovation and creativity.

 

Invite experts to develop experts

An understanding of complex systems on a quantitative and predictive basis rests on the ability to combine complex systems science (mathematical concepts and methodology) with big and comprehensive datasets. But the number of experts in this new scientific field is limited which poses a bottleneck to understand and eventually manage complex systems.

The objective of the Hub is to host, educate, and inspire complex systems scientists who are dedicated to collect, handle, aggregate, and make sense of Big Data in ways that are directly valuable for science and society. Focus areas of research at the Hub include economic, medical, social, ecological systems, smart cities, and innovation dynamics.

The idea is to bring people together by offering a working space and as many exchange and networking opportunities as possible. We want to attract the most creative, talented, non-dogmatic, and open-minded young and established scientists to interact on the most pressing questions in science today. One way to reach this goal is to regularly invite well known complexity researchers to Vienna and engage them into our professional exchange–people like W. Brian Arthur, David Wolpert, J. Stephen Lansing, Constantino Tsallis or Janos Kertesz, amongst others, who share our goals and vision.