Can call detail records provide insights into women's empowerment? A case study from Uganda

We use CDRs of mobile phone users in Uganda combined with data from a phone survey to train machine-learning models to predict the sex of the mobile phone user and several indicators of economic empowerment such as ownership of a house and land, occupation, and decision-making over household income....

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Bibliographic Details

Main Authors:	Slavchevska, Vanya, Tyszler, Marcelo, Burra, Dharani Dhar, Seymour, Greg, Sementsov, Denys, Lierde, Astrid van, King, Brian
Format:	Informe técnico
Language:	Inglés
Published:	CGIAR Platform for Big Data in Agriculture 2021
Subjects:	women's empowerment gender equality access to information mobile equipment potenciación de la mujer igualdad de género acceso a la información empowerment gender women machine learning metadata
Online Access:	https://hdl.handle.net/10568/111023