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The cluster combines mathematical modeling, numerical simulation, and learning-based methods into an integrated competency area for analyzing and forecasting complex systems.
An organizational concept that goes beyond symptom-level fixes by questioning underlying assumptions and governing rules, enabling systemic improvement and sustained learning.
An approach by which organizations systematically create, share and use knowledge to increase adaptability and performance.
Causal Loop Diagrams visualize feedback loops and causal relationships in complex systems to uncover dynamics, leverage points, and unintended side effects.
A visual, hand-drawn method for representing complex systems, stakeholders and relationships to support problem understanding and stakeholder alignment.
Facilitated team meeting for continuous improvement of processes, collaboration, and outcomes.
Structured method for developing plausible futures to improve strategic decisions under uncertainty.
ABM models autonomous agents and their interactions to study emergent phenomena in complex systems.
System Dynamics is a model-based method for analyzing complex feedback processes in socio-technical systems. It visualizes stocks, flows and feedback loops to understand root causes of delays and nonlinear behavior.