Most models in agricultural and ecological contexts have been built from precise pieces of information that happened to be available or could easily be collected. This runs the risk of missing important facets that can be critical in real-life decision-making.
Holistic modeling aims to be inclusive of all important aspects. It strives to honestly account for risks and uncertainties, and to base simulations on the actual state of knowledge.
Holistic modeling is inspired by Decision Analysis and other forms of Bayesian Science.
