Successful Project Completion: Five Years of Excellence in Mathematical Research

After five years, the FWF doc.funds doctoral school concludes with an outstanding track record: Eleven successful PhDs, a strong gender balance, and extensive international networks mark the completion of this program. Read more →

Using new methods to predict economic development

When will inflation fall and when will economic growth accelerate? Luis Gruber, an early career researcher in Gregor Kastner’s research team at the Department of Statistics, is developing new statistical methods to help predict socially relevant topics such as economic development. It is important to note that statistics are not a crystal ball. We will not be able to predict the future with complete accuracy, which makes it all the more important to use new methods in order to demonstrate the degree of uncertainty associated with predictions.

Making better use of energy thanks to optimisation methods: new MSCA doctoral network ALMOA approved

ALMOA (Advances in Large-scale, Multilevel, and Hierarchical Optimisation for Challenging Applications) is set to be launched in January 2026. It is the first doctoral network coordinated by the University of Klagenfurt that is funded by the EU through Horizon Europe as a Marie Skłodowska-Curie Action. Thirteen doctoral students will be conducting research on mathematical optimisation issues at thirteen European universities. The project has two aims: the new algorithms should help to make logistics and transport more sustainable, energy systems more efficient, and data processing more resource-efficient. At the same time, the doctoral students will benefit from an excellent training network, providing them with valuable cross-sector insights.

Using innovative methods to improve our understanding of the interplay between monetary policy and the economy

How can we improve the prediction of systemic risks in financial and economic crises? A new research project is developing innovative Bayesian methods to model dynamic covariances – with the aim of improving forecasts and supporting political decisions.