Seminar "Dynamical System Approaches to Current Challenges in Society"
Our globalised society currently faces several important challenges: The SARS-CoV-2 pandemic, climate change, social inequality -- to name just a few. Many of these are inherently of dynamical nature and so tools and ideas from the theory of Dynamical Systems are crucial for a thorough understanding. Within this seminar, we will survey classical and recent approaches to these challenges by looking at selected original works, e.g.
- Lai-Sang Young: Towards a Mathematical Model of the Brain. Journal of Statistical Physics 180, 612–629 (2020).
- Jean-Philippe Bouchaud, Marc Mézard: Wealth condensation in a simple model of economy, Physica A, 282, 536-545 (2000).
- Rainer Hegselmann, Ulrich Krause: Opinion dynamics and bounded confidence models, analysis, and simulation. Journal of artificial societies and social simulation 5, 3 (2002).
- G. Giordano, F. Blanchini, R. Bruno et al. Modelling the COVID-19 epidemic and implementation of population-wide interventions in Italy. Nat Med 26, 855–860 (2020).
- Johannes Köhler, Lukas Schwenkel, Anne Koch, Julian Berberich, Patricia Pauli, Frank Allgöwer. Robust and optimal predictive control of the COVID-19 outbreak. Annual Reviews in Control (2020).
- Daniel H. Rothman, Carbon-cycle catastrophes: a dynamical systems perspective, SIAM News 52 (2019).
This seminar is designed for master students of mathematics or technomathematics. In order to assign the topics there will be a preliminary meeting on April 8 at 2pm via zoom. Please register for this preliminary meeting by sending an email to (outdated). The data for the zoom meeting room will then be sent to you.
The registration phase in PAUL for this seminar is from April 6, 2021 to April 30, 2021.
Please note the current information of the university concerning the corona pandemic (link).