There are many different definitions of systems thinking. Some view it as a specific methodology, like system dynamics modeling, while others see it as a broader paradigm, a set of tools, or a style of thinking. Cabrera and Cabrera suggest that the field has evolved through multiple “waves”—from expert-driven quantitative modeling to participatory soft systems, critical systems thinking, and structural cognitive approaches. Castellani and Gerrits have developed a map of the complexity sciences, which traces lineages in five intellectual traditions and serves as an “introduction to the field.”
For us, systems thinking means: “Thinking that recognizes that complex is not the same as complicated.” We see it as a plurality of methods that is transdisciplinary in nature.
We aim to gather frameworks that help define the differences between complicated and complex and which suggest better approaches for meeting complex challenges, specifically. Many frameworks compare the different strategies best suited for complicated or complex challenges, which often helps clarify the differences between these kinds of systems.
