title: Prediction in context: on the comparative epistemic merit of predictive success.
abstract: The considerations set out in the paper are intended to suggest that in practical contexts predictive power does not play the outstanding roles sometimes accredited to it in an epistemic framework. Rather, predictive power is part of a network of other merits and achievements. Predictive power needs to be judged differently according to the specific conditions that apply. First, predictions need to be part of an explanatory framework if they are supposed to guide actions reliably. Second, in scientific expertise, the demand for accurate predictions is replaced with the objective of specifying a robust corridor of estimates. Finally, it is highly uncertain to predict the success of research projects. The overall purpose of the paper is to enlarge the debate about predictions by addressing specifically the roles of predictions in application-oriented research.
authors.forename: Martin
authors.initials: M
authors.lastname: Carrier
mesh_terms: D036262:Empirical Research; D005544:Forecasting; D012107:Research Design; D012586:Science