Data-driven methods to diversify knowledge of human psychology

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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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
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 (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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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
595751Mapping Cultural Differences in Facial Expressions of Emotion.Rachael JackBritish Academy (BRITACAD)SG113332PSY - PSYCHOLOGY
590701Mapping the Cultural Landscape of Emotions for Social InteractionRachael JackEconomic and Social Research Council (ESRC)ES/K001973/1S&E PSY - ADMINISTRATION