A novel approach to reveal Gender in Food Systems through Big Data
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.
| Autor principal: | |
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| Formato: | Informe técnico |
| Lenguaje: | Inglés |
| Publicado: |
2019
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/122959 |
| _version_ | 1855515997612539904 |
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| author | CGIAR Platform for Big Data in Agriculture |
| author_browse | CGIAR Platform for Big Data in Agriculture |
| author_facet | CGIAR Platform for Big Data in Agriculture |
| author_sort | CGIAR Platform for Big Data in Agriculture |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | 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. |
| format | Informe técnico |
| id | CGSpace122959 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| record_format | dspace |
| spelling | CGSpace1229592025-08-15T09:36:18Z A novel approach to reveal Gender in Food Systems through Big Data CGIAR Platform for Big Data in Agriculture gender farmers development food systems rural development data analysis data analysis networks systems agrifood systems food power 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. 2019-12-31 2022-10-06T14:14:53Z 2022-10-06T14:14:53Z Report https://hdl.handle.net/10568/122959 en Open Access application/pdf 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. |
| spellingShingle | gender farmers development food systems rural development data analysis data analysis networks systems agrifood systems food power CGIAR Platform for Big Data in Agriculture A novel approach to reveal Gender in Food Systems through Big Data |
| title | A novel approach to reveal Gender in Food Systems through Big Data |
| title_full | A novel approach to reveal Gender in Food Systems through Big Data |
| title_fullStr | A novel approach to reveal Gender in Food Systems through Big Data |
| title_full_unstemmed | A novel approach to reveal Gender in Food Systems through Big Data |
| title_short | A novel approach to reveal Gender in Food Systems through Big Data |
| title_sort | novel approach to reveal gender in food systems through big data |
| topic | gender farmers development food systems rural development data analysis data analysis networks systems agrifood systems food power |
| url | https://hdl.handle.net/10568/122959 |
| work_keys_str_mv | AT cgiarplatformforbigdatainagriculture anovelapproachtorevealgenderinfoodsystemsthroughbigdata AT cgiarplatformforbigdatainagriculture novelapproachtorevealgenderinfoodsystemsthroughbigdata |