Understanding Complex Systems

TRA Modelling: Mathematics, Modelling and Simulation of Complex Systems

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© Bialek / Uni Bonn

In the TRA Modelling, scientists from applied mathematics, computer science, quantitative economics, life sciences, medicine and geosciences work together to gain a more comprehensive understanding of complex systems. By integrating diverse data and mutually influencing factors, models are developed that enable better analyses and more precise predictions. These will be used to tackle major social challenges more effectively.

Research

  • Research profile
  • TRA funded projects
  • Collaborative Research related to TRA Modelling

About us

  • Membership
  • Organizational structure
  • Network of our institutional partners

Offers

  • Funding opportunities for TRA Modelling members
  • Central services of the University of Bonn

Events

  • Announcements of current TRA events
  • Review of previous TRA events

News from the TRA

 Notifications

JUPITER selects first AI projects
Only ten teams nationwide will receive exclusive access to the European exascale supercomputer. With the HoMe project, AI research in Bonn is sending a strong signal in the fields of vision, robotics, and generative AI.
Will mathematical research results be verified by computers in the future?
Will it be possible in future to prepare proofs developed in cutting-edge mathematical research with a reasonable amount of human effort so that they can be verified by computers in real time? Prof. Dr. Christoph Thiele and Prof. Dr. Floris van Doorn from the Hausdorff Center for Mathematics (HCM), a Cluster of Excellence at the University of Bonn, want to help make this possible. The two researchers submitted a joint application for a coveted Synergy Grant from the European Research Council (ERC). Following the award of the grant, the European Union will now provide total funding of 6.4 million euros to the “Harmonic Analysis with Lean Formalization” (HALF) project over the next six years. Lean is a relatively new programming language that is increasingly establishing itself as the standard for mathematical formalization.
RiverMamba: New AI architecture improves flood forecasting
Extreme weather events such as heavy rain and flooding pose growing challenges for early warning systems worldwide. Researchers at the University Bonn, the Forschungszentrum Jülich (FZJ), and the Lamarr Institute for Machine Learning and Artificial Intelligence have developed RiverMamba, a new AI model that can predict river discharges and flood risks more accurately than previous methods. The research paper has been accepted for NeurIPS 2025 – a sign of scientific excellence in Bonn-based research. RiverMamba thus makes an important contribution to climate adaptation and risk prevention – topics that are receiving special attention worldwide, particularly around UN World Tsunami Awareness Day on November 5th.
Chemical language models don't need to understand chemistry
Language models are now also being used in the natural sciences. In chemistry, they are employed, for instance, to predict new biologically active compounds. Chemical language models (CLMs) must be extensively trained. However, they do not necessarily acquire knowledge of biochemical relationships during training. Instead, they draw conclusions based on similarities and statistical correlations, as a recent study by the University of Bonn demonstrates. The results have now been published in the journal Patterns.

 Highlights and Announcements

Get Involved in the TRA

 As a member of the TRA, you can access funding opportunities, participate in events, and build new networks. 

Membership in TRA Modelling

In TRA Modelling, researchers from a wide range of disciplines create models that can not only describe complex systems, but also analyze them.

Membership is open to all scientists who work independently in the research field of TRA Modelling and are employed at the University of Bonn or a cooperating research institution.

Directory of our members and their research priorities

Search for new cooperation partners within our network of over 160 scientists - we will be happy to support you with new joint projects or events.

Meet our Researchers

Inter- and transdisciplinary research actively pursued at the University of Bonn and is promoted across faculty boundaries. The faces of TRA Modelling are our Hertz Chair, our Argelander Professor and the numerous dedicated researchers.  

Contact

Avatar Minge

Daniel Minge

TRA manager | Strategic Development and Quality Assurance Unit

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Transdisciplinary Research Areas

Spaces for innovation in research and teaching - these are the six transdisciplinary research areas at the University of Bonn.  

University of Excellence

Since summer 2019, we have been one of eleven German Universities of Excellence. Read more about our research profile and our future concept.

Research Funding

Research and Innovation Services at the University of Bonn will support you in all matters relating to your externally funded project.

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