ABSTRACT
This chapter highlights some of the main drivers and challenges for research on risk control of critical infrastructure systems, relates to selected similar road-mapping approaches for motivating the overarching main questions posed to the working groups, and attempts to formulate some more operational sample questions for each workshop topic. Resilience, originally discovered as the stunning property that allows individuals to better survive even the worst conditions in early youth, by has made its way through many disciplines as a stimulating concept. Resilience is understood ultimately as a systemic property referring to a system functionality behavior of interest. Acceptance refers to the overall behavior in all-resilience cycle phases but typically also includes the individual acceptance of each phase and for all types of potential disruptions. A wide range of methodologies was covered from conceptual frameworks, engineering-analytical approaches, component and large-scale structure resilience and their simulation, modeling, and simulation to network modeling sciences, machine learning, and artificial intelligence expert systems.
