Institut für Mathematik


Modul:   MAT959  Seminar in Data Science and Mathematical Modelling

Modeling and Measuring the Resilience of Collectives

Vortrag von Prof. Dr. Frank Schweitzer

Datum: 16.11.23  Zeit: 12.15 - 13.45  Raum: Y27H12

Resilience denotes the capacity of a system to withstand shocks and the ability to recover from them. What does this mean for organizations that are very volatile in their dynamics, for example collectives or project teams? Differently from engineered or ecological systems, a resilient reference state cannot be defined because individuals join or leave and social relations change quickly. To model such organizations, we combine agent-based modeling and multi-layer network approaches. They allow to quantify the impact of agents and their relations, using data about the collaboration in teams. Based on these information, we model the robustness and the adaptivity of collectives and propose a novel resilience measure combining these two dimensions. References: 1. Modeling social resilience: Questions, answers, open problems 2. Struggling with change: The fragile resilience of collectives