Data-Driven Methods to Diversify Knowledge of Human Psychology
Date
2017-11-07
Advisors
Journal Title
Journal ISSN
ISSN
Volume Title
Publisher
Elsevier
Type
Article
Peer reviewed
Yes
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.
Description
open access article
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Citation
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.