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Big data and the well-being of women and girls: applications on the social scientific frontier

Authors :
Vaitla, Bapu
Bosco, Claudio
Alegana, Victor
Bird, Tom
Pezzulo, Carla
Hornby, Graeme
Sorichetta, Alessandro
Steele, Jessica
Ruktanonchai, Cori
Ruktanonchai, Nick
Wetter, Erik
Bengtsson, Linus
Tatem, Andrew J.
Di Clemente, Riccardo
Luengo-Oroz, Miguel
Gonzalez, Marta C.
Nielsen, Rene
Baar, Thomas
Vacarelu, Felicia
de Choudhury, Munmun
Sharma, Sanket
Logar, Tomas
Eekhout, Wouter
Publication Year :
2017
Publisher :
Data2x, 2017.

Abstract

Conventional forms of data—household surveys, national economic accounts, institutional records, and so on—struggle to capture detailed information on the lives of women and girls. The many forms of big data, from geospatial information to digital transaction logs to records of internet activity, can help close the global gender data gap. This report profiles several big data projects that quantify the economic, social, and health status of women and girls.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.od.......348..84be43eb9164d5fbf098d9504feeb57d