High-frequency collection of food systems data: Pilots in Rwanda and Guatemala
As a part of CGIAR Research Initiative on Digital Innovation's Work Package 4, "Real-time Monitoring," digital agriculture and food systems scientists at IITA and Alliance of Bioversity International and CIAT engaged with demand partners in Rwanda and Guatemala to support their timely food security...
| Autores principales: | , , , |
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| Formato: | Informe técnico |
| Lenguaje: | Inglés |
| Publicado: |
2022
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| Acceso en línea: | https://hdl.handle.net/10568/127976 |
| _version_ | 1855542831044624384 |
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| author | Manners, Rhys Müller, Anna Jiménez, Daniel Martínez, Jesús David |
| author_browse | Jiménez, Daniel Manners, Rhys Martínez, Jesús David Müller, Anna |
| author_facet | Manners, Rhys Müller, Anna Jiménez, Daniel Martínez, Jesús David |
| author_sort | Manners, Rhys |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | As a part of CGIAR Research Initiative on Digital Innovation's Work Package 4, "Real-time Monitoring," digital agriculture and food systems scientists at IITA and Alliance of Bioversity International and CIAT engaged with demand partners in Rwanda and Guatemala to support their timely food security and risk management decisions using high-frequency data. Pilots were developed to collate high-frequency data on diet quality, food commodity flows, markets, and infrastructure networks and develop unprecedented insights into the dynamics of food environments. This new approach is expected to empower decision-makers with quality data, serving as a basis for early warning systems and timely interventions to address hunger and malnutrition. This report presents preliminary results achieved in 2022. |
| format | Informe técnico |
| id | CGSpace127976 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| record_format | dspace |
| spelling | CGSpace1279762025-11-05T12:36:30Z High-frequency collection of food systems data: Pilots in Rwanda and Guatemala Manners, Rhys Müller, Anna Jiménez, Daniel Martínez, Jesús David data collection diet quality food systems colección de datos calidad de la dieta sistemas alimentarios As a part of CGIAR Research Initiative on Digital Innovation's Work Package 4, "Real-time Monitoring," digital agriculture and food systems scientists at IITA and Alliance of Bioversity International and CIAT engaged with demand partners in Rwanda and Guatemala to support their timely food security and risk management decisions using high-frequency data. Pilots were developed to collate high-frequency data on diet quality, food commodity flows, markets, and infrastructure networks and develop unprecedented insights into the dynamics of food environments. This new approach is expected to empower decision-makers with quality data, serving as a basis for early warning systems and timely interventions to address hunger and malnutrition. This report presents preliminary results achieved in 2022. 2022-12-22 2023-01-24T08:20:35Z 2023-01-24T08:20:35Z Report https://hdl.handle.net/10568/127976 en Open Access application/pdf Manners, R.; Muller, A.; Jimenez, D.; Martinez, J. (2022) High-frequency collection of food systems data: Pilots in Rwanda and Guatemala. 15 p. |
| spellingShingle | data collection diet quality food systems colección de datos calidad de la dieta sistemas alimentarios Manners, Rhys Müller, Anna Jiménez, Daniel Martínez, Jesús David High-frequency collection of food systems data: Pilots in Rwanda and Guatemala |
| title | High-frequency collection of food systems data: Pilots in Rwanda and Guatemala |
| title_full | High-frequency collection of food systems data: Pilots in Rwanda and Guatemala |
| title_fullStr | High-frequency collection of food systems data: Pilots in Rwanda and Guatemala |
| title_full_unstemmed | High-frequency collection of food systems data: Pilots in Rwanda and Guatemala |
| title_short | High-frequency collection of food systems data: Pilots in Rwanda and Guatemala |
| title_sort | high frequency collection of food systems data pilots in rwanda and guatemala |
| topic | data collection diet quality food systems colección de datos calidad de la dieta sistemas alimentarios |
| url | https://hdl.handle.net/10568/127976 |
| work_keys_str_mv | AT mannersrhys highfrequencycollectionoffoodsystemsdatapilotsinrwandaandguatemala AT mulleranna highfrequencycollectionoffoodsystemsdatapilotsinrwandaandguatemala AT jimenezdaniel highfrequencycollectionoffoodsystemsdatapilotsinrwandaandguatemala AT martinezjesusdavid highfrequencycollectionoffoodsystemsdatapilotsinrwandaandguatemala |