TY - JOUR
T1 - Applying big data methods to understanding human behavior and health
AU - Moustafa, Ahmed A.
AU - Diallo, Thierno M.O.
AU - Amoroso, Nicola
AU - Zaki, Nazar
AU - Hassan, Mubashir
AU - Alashwal, Hany
PY - 2018/10/16
Y1 - 2018/10/16
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85057113055&partnerID=8YFLogxK
U2 - 10.3389/fncom.2018.00084
DO - 10.3389/fncom.2018.00084
M3 - Comment/debate/opinion
AN - SCOPUS:85057113055
SN - 1662-5188
VL - 12
JO - Frontiers in Computational Neuroscience
JF - Frontiers in Computational Neuroscience
M1 - 84
ER -