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Predicting the further course of an epidemic is an important task in mathematical modelling, but often turns out to be challenging. Careful monitoring of prediction performance is therefore necessary to characterize the potential and limits of predictive modelling in different settings. The one day workshop will bring mathematicians and epidemiologists together to solve common challenges

SWIM Topic Meetings are one-day meetings bringing together researchers interested in one specific topic. To kick this off, we are hosting a meeting on Mathematical Modelling of Antimicrobial Resistance at University Medical Center Freiburg.
The target audience are researchers of all career stages working on AMR modelling (or planning to do so soon).

The HKMetrics network is a joint initiative of econometricians and statisticians from Heidelberg University, the Karlsruhe Institute of Technology and the University of Mannheim. The mission of HKMetrics is to promote and foster research in applied and theoretical econometrics to initiate joint research cooperations.

KIT Center MathSEE is one of the nine interdisciplinary research centers at Karlsruhe Institute of Technology. It pools knowledge between the sciences, engineering and economics and builds a bridge to the mathematical sciences achieving success through interdisciplinary research on mathematical methods for scientific and societal challenges. It also aims to bring experiences on a national, european and international scale together and be the town square for exchange of ideas, best practices and co-operations.
Through the symposium on applications of mathematics, the center fosters discussion and promotes new partnerships in science and with the industry. On-site costs are kindly covered by MathSEE so that the registration fee for the symposium itself is waived for all participants.
In September 2026, the third MathSEE Symposium will take place and in this spirit, we welcome you most warmly to join us at the symposium and become part of the Math-SEE community! 
The symposium will feature 8 plenary lectures and several topically focussed parallel sessions on the applications of mathematical methods along the following tracks:
Mathematical structures: Shapes, Geometry, Number Theory and Algebra Mathematical Modeling, Differential Equations, Numerics and Simulation Inverse problems and Optimization Stochastic Modeling, Statistical Data Analysis and Forecasting We are excited about your contribution and look forward to discuss, to share and to network to widen the mathematical community!