A novel approach to reveal Gender in Food Systems through Big Data
| cg.contributor.crp | Big Data | |
| cg.coverage.country | Uganda | |
| cg.coverage.iso3166-alpha2 | UG | |
| cg.coverage.region | Eastern Africa | |
| cg.number | IN-1461 | en |
| dc.contributor.author | CGIAR Platform for Big Data in Agriculture | en |
| dc.date.accessioned | 2022-10-06T14:14:53Z | en |
| dc.date.available | 2022-10-06T14:14:53Z | en |
| dc.identifier.uri | https://hdl.handle.net/10568/122959 | |
| dc.title | A novel approach to reveal Gender in Food Systems through Big Data | en |
| dcterms.abstract | The partners combined a phone-based survey with analysis of many billions of data points generated by the operation of mobile phone networks to predict sex and decision power among female farmers in Uganda. | en |
| dcterms.accessRights | Open Access | |
| dcterms.bibliographicCitation | CGIAR Platform for Big Data in Agriculture. 2019. A novel approach to reveal Gender in Food Systems through Big Data. Reported in Platform for Big Data in Agriculture Annual Report 2019. Innovations. | en |
| dcterms.isPartOf | CRP Innovation | en |
| dcterms.issued | 2019-12-31 | |
| dcterms.language | en | |
| dcterms.license | Other | |
| dcterms.subject | gender | en |
| dcterms.subject | farmers | en |
| dcterms.subject | development | en |
| dcterms.subject | food systems | en |
| dcterms.subject | rural development | en |
| dcterms.subject | data | en |
| dcterms.subject | analysis | en |
| dcterms.subject | data analysis | en |
| dcterms.subject | networks | en |
| dcterms.subject | systems | en |
| dcterms.subject | agrifood systems | en |
| dcterms.subject | food | en |
| dcterms.subject | power | en |
| dcterms.type | Report |
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