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

Big data and the well-being of women and girls: applications on the social scientific frontier
Big data and the well-being of women and girls: applications on the social scientific frontier
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.
Big Data, Gender data gap, Women and girls, Geospatial data
Data2X
Vaitla, Bapu
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Bosco, Claudio
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Alegana, Victor
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Bird, Tom
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Pezzulo, Carla
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Hornby, Graeme
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Sorichetta, Alessandro
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Steele, Jessica
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Ruktanonchai, Cori
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Ruktanonchai, Nick
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Wetter, Erik
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Bengtsson, Linus
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Tatem, Andrew J.
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Di Clemente, Riccardo
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Luengo-Oroz, Miguel
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Gonzalez, Marta C.
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Nielsen, Rene
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Baar, Thomas
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Vacarelu, Felicia
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de Choudhury, Munmun
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Sharma, Sanket
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Logar, Tomas
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Eekhout, Wouter
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Vaitla, Bapu
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Bosco, Claudio
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Alegana, Victor
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Bird, Tom
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Pezzulo, Carla
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Hornby, Graeme
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Sorichetta, Alessandro
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Steele, Jessica
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Ruktanonchai, Cori
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Ruktanonchai, Nick
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Wetter, Erik
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Bengtsson, Linus
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Tatem, Andrew J.
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Di Clemente, Riccardo
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Luengo-Oroz, Miguel
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Gonzalez, Marta C.
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Nielsen, Rene
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Baar, Thomas
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Vacarelu, Felicia
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de Choudhury, Munmun
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Sharma, Sanket
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Logar, Tomas
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Eekhout, Wouter
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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 and Eekhout, Wouter (2017) Big data and the well-being of women and girls: applications on the social scientific frontier Data2X 40pp.

Record type: Monograph (Project Report)

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.

Text
Big-Data-and-the-Well-Being-of-Women-and-Girls - Version of Record
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More information

Accepted/In Press date: 2017
Published date: April 2017
Related URLs:
Keywords: Big Data, Gender data gap, Women and girls, Geospatial data
Organisations: WorldPop, GeoData, Population, Health & Wellbeing (PHeW)

Identifiers

Local EPrints ID: 407908
URI: http://eprints.soton.ac.uk/id/eprint/407908
PURE UUID: 91c0f85f-ce33-40be-885a-5f74796f942b
ORCID for Victor Alegana: ORCID iD orcid.org/0000-0001-5177-9227
ORCID for Carla Pezzulo: ORCID iD orcid.org/0000-0003-4775-1787
ORCID for Graeme Hornby: ORCID iD orcid.org/0000-0002-2833-8711
ORCID for Alessandro Sorichetta: ORCID iD orcid.org/0000-0002-3576-5826
ORCID for Andrew J. Tatem: ORCID iD orcid.org/0000-0002-7270-941X

Catalogue record

Date deposited: 28 Apr 2017 01:07
Last modified: 16 Mar 2024 04:16

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Contributors

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

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