The Predictive Turn in Neuroscience

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


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.

Similar books and articles

Wissenschaftstheoretische anmerkungen zur technikfolgenabschätzung: Die prognose- und quantifizierungsproblematik. [REVIEW]Armin Grunwald - 1994 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 25 (1):51 - 70.
Prediction.Gregor Betz - 2011 - In Ian Jarvie & Jesus Zamora-Bonilla (eds.), Handbook of Philosophy of Social Science. Sage Publications.


Added to PP

291 (#66,099)

6 months
99 (#38,512)

Historical graph of downloads
How can I increase my downloads?

Author's Profile

Daniel Weiskopf
Georgia State University

Citations of this work

No citations found.

Add more citations

References found in this work

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.

Add more references