Data-driven mathematical modeling is having an huge impact on the ability to organize and characterize very large data sets,and make inferences and predictions approximately populations and situations based on sampling data. However, as these models become increasingly complex, and the ability of users to understand and apply them represents a growing challenge. The article "A Framework for Considering Comprehensibility in Modeling",which describes this emerging dilemma and a strategy for developing solutions, is published in Big Data.
Source: phys.org