Abstract

Deep neural network models have revived long-standing debates on the value of explanation versus prediction for advancing science. Bowers et al.'s critique will not make these models go away, but it is likely to prompt new work that seeks to reconcile explanatory and predictive models, which could change how we determine what constitutes valuable scientific knowledge.