You need to learn Causal Diagrams, System Architypes and Flow/Stock Diagrams in order apply SD principles in real life, "Thinking in Systems" is just an introduction.
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From my experience working in ecology, the only way to truly 'know' a system, is to work with it to the point where you can have some sort of intuition about how it will behave under change. And I mean validated intuition. Intuition is a System2 brain circuit that can find correct answer quickly, but if you want to know why, you'll still have to rationalize and deconstruct it using System1 (rational/logical). Ecology is considered a soft-science by many, because it's observational in nature - you make a change, and see if it lines up with your hypothesis. But we also use a lot of modelling; creating mathematical representations of those systems of equations, and then simulating through the wide variety of possible parameter states. This gives us some statistical distribution from which we can gain confidence.
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(highlight:: There are multiple schools of systems thinking, that can be related to specific thinkers.
A diagram by Ramage and Shipp is helpful. https://discuss.openlearning.cc/t/schools-of-thought-in-systems-thinking/331/2
As an example, Soft Systems Methodology (SSM) is good for systems engineers who are looking to broaden towards human systems. In some respects, a sociologist might look at SSM and say "so what", because they're already centered on human systems.)
- No location available
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You need to learn Causal Diagrams, System Architypes and Flow/Stock Diagrams in order apply SD principles in real life, "Thinking in Systems" is just an introduction.
- No location available
-

From my experience working in ecology, the only way to truly 'know' a system, is to work with it to the point where you can have some sort of intuition about how it will behave under change. And I mean validated intuition. Intuition is a System2 brain circuit that can find correct answer quickly, but if you want to know why, you'll still have to rationalize and deconstruct it using System1 (rational/logical). Ecology is considered a soft-science by many, because it's observational in nature - you make a change, and see if it lines up with your hypothesis. But we also use a lot of modelling; creating mathematical representations of those systems of equations, and then simulating through the wide variety of possible parameter states. This gives us some statistical distribution from which we can gain confidence.
- No location available
-

(highlight:: There are multiple schools of systems thinking, that can be related to specific thinkers.
A diagram by Ramage and Shipp is helpful. https://discuss.openlearning.cc/t/schools-of-thought-in-systems-thinking/331/2
As an example, Soft Systems Methodology (SSM) is good for systems engineers who are looking to broaden towards human systems. In some respects, a sociologist might look at SSM and say "so what", because they're already centered on human systems.)
- No location available
-