Poster Presentation about Quantifying Tipping Risks in Power Grids Awarded by the Physics of Socio-Economic Systems Division
We congratulate Martin Heßler (AG Thiele, Supervisor Oliver Kamps) on winning the Poster Award
from the Physics of Socio-Economic Systems Division (SOE) of the German Physical Society
(DPG). The SOE rapidly evolved from a working group into its own specialist group within the
DPG, whose members focus on the application and further development of physical methods for the
analysis, modeling, simulation, and optimization of socio-economic systems. One of three awards,
consisting of an official certificate and a voucher worth one hundred euros, was awarded to Mr.
Heßler by Philipp Hövel (Chair of SOE), Eckehard Olbrich, and Fakhteh Ghanbarnejad (Co-Chairs
of SOE) at this year's DPG Spring Conference in Berlin for Mr. Heßler's outstanding poster
presentation entitled "Quantifying Tipping Risks in Power Grids and beyond." The data-driven
modeling proposed therein aims to resolve risks of destabilization in power grids on both
deterministic and stochastic time scales simultaneously. A direct application of the methodology to
data from a historical blackout event in the USA shows that the approach significantly contributes
to a deeper understanding of the dynamics preceding a failure of the examined power grid and that
previously discussed continuous destabilization processes fall short. In principle, the presented
methods are also applicable to systems from other fields of research.
G-Research Grant for PhD Student at the ITP, Scholarship enables participation at the Econophyscis Colloquium in Lipari
The G-Research grants for PhD students and postdocs in quantitative fields are awarded monthly and provide up to 2,000 GBP for young researchers. This award was given to the PhD student Tobias Wand from the group Self-organisation and Complexity at the University of Münster. „This support allowed me to travel to the Econopyhsics Colloquium 2023 in Lipari to present my work there.“
His research uses mathematical models from Theoretical Physics on financial time series. In Lipari, Tobias presented his publication in the Journal of Statistical Mechanics (2023) 043402 where he uses concepts from Explainable Artificial Intelligence (XAI) to further analyse these interdisciplinary results. „Of course, the „InterKI WWU“ project was a strong motivation for me to work on the field of artificial intelligence.“
