systems thinking
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Systems & complexity
Building Confidence in Models: Model Design [Systems thinking & modelling series]
There are two primary aspects to a model’s design – structure and data – and peer-review can be extremely useful…
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Systems & complexity
Building Confidence in Models: Introduction [Systems thinking & modelling series]
Confidence needs to be developed in three distinct areas.
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In the news
LAST Conference Canberra 2017
LAST Conference is aimed at practitioners who are working with lean, agile, or systems thinking techniques.
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Systems & complexity
Models and Truth: Summary [Systems thinking & modelling series]
A predictive model is one for which you have an accurate assessment of the errors of the predictions,, and a…
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Systems & complexity
Models and Truth: Predictive versus Narrative Modeling [Systems thinking & modelling series]
There are only two fundamental approaches to constructing models: predictive modeling and narrative modeling.
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Systems & complexity
Models and Truth: The Strange Case of Inference [Systems thinking & modelling series]
Controlled randomized experiments can be impossible and unethical in the real world, but we can answer inferential questions by collecting…
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Systems & complexity
Models and Truth: Prediction, Inference, and Narrative [Systems thinking & modelling series]
It is useful to base our discussions of models on the model’s driving purpose.
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Systems & complexity
Models and Truth: Introduction [Systems thinking & modelling series]
In this section, we will take a journey to explore different types of models and the distinctions commonly used to…
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Systems & complexity
Applied Understanding: Conclusion [Systems thinking & modelling series]
We must embrace learning and become far more adept at developing truly viable approaches for dealing with situations.
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Systems & complexity
Applied Understanding: World2 Model [Systems thinking & modelling series]
Investigate the dynamics among capital investment, population, pollution, and natural resources on the Earth.