systems thinking
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Systems & complexity
The Process of Modeling: Wrapping It Up [Systems thinking & modelling series]
Getting the small details right in a model can take much longer than implementing the bulk of the model structure.
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Systems & complexity
The Perspectives Project
The Perspectives Project surfaces noteworthy stories of relationships and their implications, complementing the RealKM Magazine systems thinking and modeling series.
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Systems & complexity
The Process of Modeling: From Mental Models to Simulation Models [Systems thinking & modelling series]
People often have great difficulty communicating and describing their own mental models of a system. A number of useful tools…
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Systems & complexity
The Process of Modeling: Model Boundaries [Systems thinking & modelling series]
It would be impossible to include every single element and mechanism in our model, so we must define the boundaries…
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Systems & complexity
The Process of Modeling: Model Project Management [Systems thinking & modelling series]
Rapid iteration – failing fast and failing often – is a key goal in the model development process.
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Systems & complexity
The Process of Modeling: Why Model? [Systems thinking & modelling series]
This question seems obvious, but in practice it is often hard to answer.
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Systems & complexity
The Process of Modeling: Introduction [Systems thinking & modelling series]
You're at your desk ready to start building a model, but then realize something: You aren’t sure what to do…
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Systems & complexity
Building Confidence in Models: Confidence and Philosophy [Systems thinking & modelling series]
Ideally, true behavior of the system and an audience’s mental models of the system should be equivalent, but in practice…
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Systems & complexity
Building Confidence in Models: Model Results [Systems thinking & modelling series]
The modeler can transfer confidence in a model’s results to its audience in several different ways.
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Systems & complexity
Building Confidence in Models: Model Implementation [Systems thinking & modelling series]
Significant errors can occur during model implementation, but steps can be taken to ensure that a model is implemented correctly.