A method to predict women's empowerment using call detail records in Uganda

A method to predict women's empowerment using call detail records in Uganda

The innovation was tested in Uganda using call detail records from MTN Uganda (one of the country's largest mobile service provider) subscribers. The predictive accuracy of the different models was analyzed and the results were summarized in a working paper.

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Bibliographic Details
Main Author: CGIAR Research Program on Policies, Institutions, and Markets
Format: Report biblioteca
Language:English
Published: 2020-12-31
Subjects:models, women, development, innovation, rural development, empowerment, systems, agrifood systems, women's empowerment, paper, accuracy,
Online Access:https://hdl.handle.net/10568/122058
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spelling dig-cgspace-10568-1220582023-03-14T11:58:02Z A method to predict women's empowerment using call detail records in Uganda CGIAR Research Program on Policies, Institutions, and Markets models women development innovation rural development empowerment systems agrifood systems women's empowerment paper accuracy The innovation was tested in Uganda using call detail records from MTN Uganda (one of the country's largest mobile service provider) subscribers. The predictive accuracy of the different models was analyzed and the results were summarized in a working paper. 2020-12-31 2022-10-06T13:53:31Z 2022-10-06T13:53:31Z Report CGIAR Research Program on Policies, Institutions, and Markets. 2020. A method to predict women's empowerment using call detail records in Uganda. Reported in Policies, Institutions, and Markets Annual Report 2020. Innovations. https://hdl.handle.net/10568/122058 en CRP Innovation Other Open Access application/pdf
institution CGIAR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cgspace
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CGIAR
language English
topic models
women
development
innovation
rural development
empowerment
systems
agrifood systems
women's empowerment
paper
accuracy
models
women
development
innovation
rural development
empowerment
systems
agrifood systems
women's empowerment
paper
accuracy
spellingShingle models
women
development
innovation
rural development
empowerment
systems
agrifood systems
women's empowerment
paper
accuracy
models
women
development
innovation
rural development
empowerment
systems
agrifood systems
women's empowerment
paper
accuracy
CGIAR Research Program on Policies, Institutions, and Markets
A method to predict women's empowerment using call detail records in Uganda
description The innovation was tested in Uganda using call detail records from MTN Uganda (one of the country's largest mobile service provider) subscribers. The predictive accuracy of the different models was analyzed and the results were summarized in a working paper.
format Report
topic_facet models
women
development
innovation
rural development
empowerment
systems
agrifood systems
women's empowerment
paper
accuracy
author CGIAR Research Program on Policies, Institutions, and Markets
author_facet CGIAR Research Program on Policies, Institutions, and Markets
author_sort CGIAR Research Program on Policies, Institutions, and Markets
title A method to predict women's empowerment using call detail records in Uganda
title_short A method to predict women's empowerment using call detail records in Uganda
title_full A method to predict women's empowerment using call detail records in Uganda
title_fullStr A method to predict women's empowerment using call detail records in Uganda
title_full_unstemmed A method to predict women's empowerment using call detail records in Uganda
title_sort method to predict women's empowerment using call detail records in uganda
publishDate 2020-12-31
url https://hdl.handle.net/10568/122058
work_keys_str_mv AT cgiarresearchprogramonpoliciesinstitutionsandmarkets amethodtopredictwomensempowermentusingcalldetailrecordsinuganda
AT cgiarresearchprogramonpoliciesinstitutionsandmarkets methodtopredictwomensempowermentusingcalldetailrecordsinuganda
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