Regenerative systems are able to overcome significant perturbations, and maintain autonomously their functionality in dynamic environments.

To analyze or develop these types of systems, modeling and simulation plays a crucial role.

Due to operating at different temporal and spatial scales and due to embracing many heterogeneously acting and interacting sub-systems with variable patterns of behavior, new modeling and simulation methods are required. These methodological developments and their application to a concrete biological regenerative system, i.e. the exploration of signaling pathways and their role in the differentiation of neural cells, are at the core of the

GRK dIEM oSiRiS (The Integrative Development of Modeling and Simulation Methods for Regenerative Systems).