The Predictive Turn in Neuroscience

Philosophy of Science 89 (5):1213-1222 (2022)
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Abstract

Neuroscientists have in recent years turned to building models that aim to generate predictions rather than explanations. This “predictive turn” has swept across domains including law, marketing, and neuropsychiatry. Yet the norms of prediction remain undertheorized relative to those of explanation. I examine two styles of predictive modeling and show how they exemplify the normative dynamics at work in prediction. I propose an account of how predictive models, conceived of as technological devices for aiding decision-making, can come to be adequate for purposes that are defined by both their guiding research questions and their larger social context of application.

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Daniel Weiskopf
Georgia State University

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Reintroducing prediction to explanation.Heather E. Douglas - 2009 - Philosophy of Science 76 (4):444-463.
State of the Field: Why novel prediction matters.Heather Douglas & P. D. Magnus - 2013 - Studies in History and Philosophy of Science Part A 44 (4):580-589.

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