Veranstaltungen

The aim of our workshop is to foster a lively discussion on current risk management topics between academics (with an interest in actuarial science and mathematical finance) and professionals from related fields (actuaries, risk managers, financial engineers). During the two days of the workshop, high-level speakers (from the financial industry and academia) will present on recent results on practical and methodological aspects of risk management in the insurance context. The workshop will take place on October 5 and 6, 2023 at the Technical University of Munich. https://www.math.cit.tum.de/mathfinance/munich-risk-and-insurance-days-2023/

TBA

Machine learning algorithms and data science techniques are getting increasingly popular among researchers in the humanities („Digital humanities”). In this workshop, we aim to bring together students and young researchers working in mathematics, computer science, the humanities and cultural history, to learn about state-of-the-art tools, both those readily designed with a specific use in the humanities in mind, and novel research, which could have a potential usecase in the digital humanities. Keynotes Keynote speakers include Massimo Fornasier (TUM, Mathematics) Olga Popovich (TUM, Engineering) Stefan Baums (LMU & BADW, Indian and Tibetan Studies) Nicola Lercari (LMU, Digital Cultural Heritage) Workshops The following four hour intensive workshops are designed for PhD students and postdocs, to learn state-of-the-art tools and methodology for text-based research. Please bring a laptop to the workshop. Juan Garces (SLUB Dresden) Arbeiten mit TEI-XML Christina M. Kreinecker (KU Leuven) Challenges and Approaches to Editing and Processing New Testament Multilingual Manuscripts Annette von Stockhausen (BBAW) Digitale Editionen – ein praktischer Einstieg Stephen White (READ project) Using AI Models for Ancient Documents

Abstract The impact of stress on the immunsystem has already been investigated in many studies. Similarly, many models of mathematical epidemiology have been created in recent decades. The goal of this talk is to combine both areas by including stress in a simple SIS model. Therefore, the first step is to gain insight into stress research and mathematical epidemiology. In particular, the R-value, bifurcations occurring in the process and their determination are of interest. Furthermore, we take a look at the well-known SIS model in which the population is divided into two groups - infected/infectious and susceptible. Descriptive parameters for this are the transmission rate and the recovery rate. Then we first incorporate the stress factor into both rates, under the simplified assumption that the population has a homogeneous stress level. In the subsequent model, we divide the population into different stress groups. We also study an SIS model with oscillating stress levels using a Poincaré map. In all these models we are interested in how stress affects infection rates. In our final model, we examine not only the effect of stress on infection counts, but also how infection counts affect stress levels. Of particular interest in the respective models is when an infectious disease remains endemic or declines.