Applying big data methods to understanding human behavior and health

Ahmed A. Moustafa, Thierno M.O. Diallo, Nicola Amoroso, Nazar Zaki, Mubashir Hassan, Hany Alashwal*

*Corresponding author for this work

Research output: Contribution to journalComment/debate/opinionResearchpeer-review

7 Citations (Scopus)
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Abstract

While many fields have benefited greatly from the collection and analysis of big data, some health fields and, to a large extent, psychology are still lagging behind (Azmak et al., 2015). Azmak et al. (2015) have shown an example (e.g., Sloan Digital Sky) on how the collection of large datasets has aided researchers to solve difficult problems in astronomy that were not possible in the past. Interestingly, the slow process of applying big data to psychology mirrors the history of development of sciences, as astronomy and other sciences are much older than experimental psychology (which emerged in the nineteenth century). This is related to the fact that while many sciences are data-driven, psychology, to a large degree, is hypothesis-driven.
Original languageEnglish
Article number84
JournalFrontiers in Computational Neuroscience
Volume12
DOIs
Publication statusPublished - 16 Oct 2018
Externally publishedYes

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