Jack, R. E. , Crivelli, C. and Wheatley, T. (2018) Data-driven methods to diversify knowledge of human psychology. Trends in Cognitive Sciences, 22(1), pp. 1-5. (doi: 10.1016/j.tics.2017.10.002) (PMID:29126772)
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Abstract
Psychology aims to understand real human behavior. However, cultural biases in the scientific process can constrain knowledge. We describe here how data-driven methods can relax these constraints to reveal new insights that theories can overlook. To advance knowledge we advocate a symbiotic approach that better combines data-driven methods with theory.
| Item Type: | Articles |
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| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Jack, Professor Rachael and Crivelli Delgado, Mr Carlos |
| Authors: | Jack, R. E., Crivelli, C., and Wheatley, T. |
| College/School: | College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience College of Science and Engineering > School of Psychology |
| Journal Name: | Trends in Cognitive Sciences |
| Publisher: | Elsevier (Cell Press) |
| ISSN: | 1364-6613 |
| ISSN (Online): | 1879-307X |
| Published Online: | 07 November 2017 |
| Copyright Holders: | Copyright © 2017 The Authors |
| First Published: | First published in Trends in Cognitive Sciences 22(1):1-5 |
| Publisher Policy: | Reproduced under a Creative Commons License |
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