Mathematics, Modelling and Simulation of Complex Systems
Transdisciplinary Research Area Mathematics, Modelling and Simulation of Complex Systems (TRA Modelling)
The creation of models is at the heart of many quantitative sciences. Nowadays, computers are able to process increasingly large data sets in decreasingly short time to create scientific forecasting models. A complex world like ours can certainly not be explained by simple models. The understanding of how complex systems, with many components that interact with each other, actually work, is one of the biggest challenges of our time, arising in numerous areas of science and technology.
In a combination of classical observational methods, data simulation and creative spirit, scientists from a broad range of disciplines create models that not only describe complex systems, but are able to analyze their behavior.
Become a member! Your find our Membership application here.
Latest News
Announcements
- Spring/Summer 2021: PostDoc NetworkDay "Collaborate beyond borders" (Cooperation with TRA Institutions)
- Autumn 2021: Joint Symposium "Biomathematics & Computational Biology" (Cooperation with Clusters HCM & ImmunoSensation and TRA Life & Health)
Press releases
- On the way to better decisions - computer-based models from economics, epidemiology and financial research (25.02.2021)
- Renewal of Research Unit FOR 2535 "Anticipating Human Behaviour" (12.12.2020)
- European Centre for Medium-Range Weather Forecasts (ECMWF) comes to Bonn
- New Collaborative Research Center SFB 1454 "Metaflammation and Cellular Programming" (27.11.2020)
- Renewal of Collaborative Research Center SFB 1060 "The Mathematics of Emergent Effects" (27.11.2020)
- Renewal of Collaborative Research Center TRR/SFB 110 "Symmetries and the Emergence of QCD" (27.11.2020)
Contact
Speaker TRA Modelling
Prof. Dr. Anton Bovier
Institute for Applied Mathematics
Prof. Dr. Heiko Röglin
Institute for Computer Science
Management TRA Modelling
Dr. Julia Belau
E-Mail: [Email protection active, please enable JavaScript.]
Phone (work): +49 (0) 151 221 406 26
TRA Team-Assistant
Sarah May
E-Mail: [Email protection active, please enable JavaScript.]
Phone: +49 (0) 228 73-2477