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

Keywords

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.

Rights

Research Institute