Short Bio

Juri Haumer is a PhD candidate in the Supply Chain Science group at the Complexity Science Hub (CSH) and TU Wien. His research focuses on applying computational methods, particularly from complexity science and network theory, to the analysis of socio-economic and ecological systems.

Juri holds an MA (Hons) in Pure Mathematics from the University of Edinburgh and an MSc in Computational Science from the University of Vienna. His master’s thesis focused on food security, particularly on modelling climate and demographic impacts on global food supply networks.

PhD Project – Computational Modelling of Production–Supply Systems

Supervised by Peter Klimek (CSH/ASCII, Supply Chain Science) und Stefan Neumann (TU Wien, Informatics)

The PhD project develops computational models of production–supply systems within the Supply Chain Science research group at CSH, as part of the REMASS project, which studies how disruptions and structural changes affect resource flows, material stocks, and supply networks in socio-economic systems.

It applies methods from network science and complexity science, combined with computational modelling, to represent production systems as dynamic, multilayer networks. Firm-level data and multi-regional input–output (MRIO) data are transformed into network representations of production–supply relations, which are used in agent-based and related modelling frameworks to analyse structural change, shock propagation, systemic risk, and related system-level dynamics.