There are a number of expressions that are all related: Data-driven models, Information theory, machine learning. The common theme is the use of data to construct models, and then to use these models to simulate and optimise the process (in this case mineral processing). The method that is the focus for the collaborative project is a probabilistic framework, that is at each unit particles have a probability of going to various product streams. These probabilities are back-calculated using available information.