Resilience denotes the capacity of a system to withstand shocks and its ability to recover from them.

We develop a framework to quantify the resilience of highly volatile, non-equilibrium social organizations, such as collectives or collaborating teams. It consists of four steps: (i) emph{delimitation}, i.e., narrowing down the target systems, (ii) emph{conceptualization}, .e., identifying how to approach social organizations, (iii) formal emph{representation} using a combination of agent-based and network models, (iv) emph{operationalization}, i.e. specifying measures and demonstrating how they enter the calculation of resilience.

Our framework quantifies two dimensions of resilience, the emph{robustness} of social organizations and their emph{adaptivity}, and combines them in a novel resilience measure. It allows monitoring resilience instantaneously using longitudinal data instead of an ex-post evaluation.

F. Schweitzer, G. Andres, G. Casiraghi, C. Gote, R. Roller, I. Scholtes, G. Vaccario, C. Zingg, Modeling social resilience: Questions, answers, open problems, Advances in Complex Systems (2023).