Some lecture notes/ scribble on Model Thinking by Scott E. Page. Lecture Intro, Part 3: “Thinking more clearly”:
This part points out that modelling is about naming the parts that are relevant to the purpose of the model. Now this is of course beneficial, since you can (sort of) run the model and see what comes out (Equilibrium, Cycle, Random, Complex). Moreover, even without ‘running’ it a model has a value by helping people to communicate clearer.
|=: From my point of view as a Business Analyst I can fully confirm the latter. Business Analysis is about bridging the communication gap btw. business people and engineers. Therefore models are a great common basis. However I feel a bit left alone by the research-side, that is imho focussing very much on the runnable part of modelling, like code generation, model checking and transforming, etc. Is it because the value of models for communication is harder to grasp?