Articles and ideas
System Change on Steroids: From Checks and Balances to an Authoritarian Government. Part 2
Systems change requires a transition of power, but this can't be achieved alone, you need allies. I propose a framework to map power dynamics through meta-causal loop diagrams, which integrate people directly into maps to reveal underlying incentives and loyalty networks. This approach helps understand not just situational complexity, but how conditions influence behavior, allowing you to anticipate which dynamics might activate cooperation, resistance, or support.
Beyond system mapping. Meta Causal Loop Diagrams
Meta Causal Loop Diagrams (Meta-CLDs) are an evolution of traditional Causal Loop Diagrams that combine three dimensions: cause-effect structure, how causes affect actors and their responses, and relationships between people. They add a fourth temporal dimension and use graph databases (Neo4j) to overcome conventional CLD limitations, enabling complex situation mapping and visualising multiple connections between actors, creating a more comprehensive tool for analysing complex problems.