As part of the “NHR Conference 2026,” in collaboration with PC², the conference track “HPC-Driven Decision Science” will take place on September 14 and 15, 2026, at the Heinz Nixdorf MuseumsForum. The track is dedicated to the field of Information Systems, with a particular focus on Operations Research.
HPC-Driven Decision Science: Optimization, Simulation, and AI for Economics and Management
Modern global systems, from energy grids and supply chains to volatile financial markets, and techno-economic, as well as environmental dynamics present computational challenges that exceed the limits of traditional desktop computing. This track explores the frontier of high-performance decision intelligence, focusing on the intersection of large-scale data processing, complex simulations, and rigorous optimization. We invite submissions that leverage high-performance computing to solve high-dimensional problems in economics and operations research, including scalable agent-based modeling, discrete-event simulation, and multi-level mathematical optimization. This includes research work on reproducible HPC workflows that integrate simulation with machine learning (simulation-optimization, digital twins) and the use of LLM-augmented pipelines for scenario generation and policy analysis. Submissions may address the technical challenges of efficient, sovereign, and resilient execution on heterogeneous HPC architectures. Key application areas include transportation and logistics, market design, finance, risk management, macro-economics, and public-sector resilience.
This topic is organized by Gesellschaft für Operations Research (GOR) e.V.
