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The scientific value of explanation and prediction

Published online by Cambridge University Press:  06 December 2023

Hause Lin*
Affiliation:
Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, USA hauselin@gmail.com https://www.hauselin.com Hill and Levene Schools of Business, University of Regina, Regina, SK, Canada

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.

Type
Open Peer Commentary
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press

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