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 (see below discussion on these points).
| Original language | English |
|---|---|
| Article number | 84 |
| Number of pages | 4 |
| Journal | Frontiers in Computational Neuroscience |
| Volume | 12 |
| DOIs | |
| Publication status | Published - 2018 |
Open Access - Access Right Statement
© 2018 Moustafa, Diallo, Amoroso, Zaki,Hassan and Alashwal. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.Keywords
- big data
- health
- psychology