High-frequency monitoring of diet quality in Guatemala: Key results, advances, and innovations (2025)
Diet quality monitoring in Guatemala has evolved significantly since 2023, placing participants at the center and emphasizing their interaction with accessible digital tools. Within this process, MEMO, a chatbot developed for high-frequency data collection, has served as a key mechanism to facilitat...
| Main Authors: | , , , |
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| Format: | Artículo preliminar |
| Language: | Inglés |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/180183 |
| _version_ | 1855516125711826944 |
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| author | Ramos, Gresia Lizarazo, Miguel Estrada, Oscar Jimenez, Daniel |
| author_browse | Estrada, Oscar Jimenez, Daniel Lizarazo, Miguel Ramos, Gresia |
| author_facet | Ramos, Gresia Lizarazo, Miguel Estrada, Oscar Jimenez, Daniel |
| author_sort | Ramos, Gresia |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Diet quality monitoring in Guatemala has evolved significantly since 2023, placing participants at the center and emphasizing their interaction with accessible digital tools. Within this process, MEMO, a chatbot developed for high-frequency data collection, has served as a key mechanism to facilitate participation, learning, and near–real-time data generation. Throughout its implementation, the monitoring system has integrated Human-Centered Design (HCD) principles to adapt the tool to users’ needs, capacities, and local contexts, strengthening trust, understanding, and sustained engagement.
The data collected are analyzed and processed using machine learning techniques, enabling the transformation of raw information into simplified and actionable insights that are returned to both participants and local partners. This feedback loop supports informed decision-making at community and institutional levels. Currently, the results are publicly available on the SINTET platform, managed by the local partner CUNORI, ensuring open access to information for anyone interested in diet quality and food security.
This progress represents an important milestone for Guatemala, demonstrating how the integrated use of digital tools, participatory approaches, and a strong network of local partners can lead to a scalable system that complements traditional food and nutrition security monitoring mechanisms in the country. |
| format | Artículo preliminar |
| id | CGSpace180183 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| record_format | dspace |
| spelling | CGSpace1801832026-01-21T02:01:39Z High-frequency monitoring of diet quality in Guatemala: Key results, advances, and innovations (2025) Ramos, Gresia Lizarazo, Miguel Estrada, Oscar Jimenez, Daniel surveys partnerships alimentación digital technology dieta tecnología digital dietary nutrition assessment evaluación nutricional dieta evaluación dietética Diet quality monitoring in Guatemala has evolved significantly since 2023, placing participants at the center and emphasizing their interaction with accessible digital tools. Within this process, MEMO, a chatbot developed for high-frequency data collection, has served as a key mechanism to facilitate participation, learning, and near–real-time data generation. Throughout its implementation, the monitoring system has integrated Human-Centered Design (HCD) principles to adapt the tool to users’ needs, capacities, and local contexts, strengthening trust, understanding, and sustained engagement. The data collected are analyzed and processed using machine learning techniques, enabling the transformation of raw information into simplified and actionable insights that are returned to both participants and local partners. This feedback loop supports informed decision-making at community and institutional levels. Currently, the results are publicly available on the SINTET platform, managed by the local partner CUNORI, ensuring open access to information for anyone interested in diet quality and food security. This progress represents an important milestone for Guatemala, demonstrating how the integrated use of digital tools, participatory approaches, and a strong network of local partners can lead to a scalable system that complements traditional food and nutrition security monitoring mechanisms in the country. 2025-12-19 2026-01-20T08:53:30Z 2026-01-20T08:53:30Z Working Paper https://hdl.handle.net/10568/180183 en Open Access application/pdf Ramos, G.; Lizarazo, M.; Estrada, O.; Jimenez, D. (2025) High-frequency monitoring of diet quality in Guatemala: Key results, advances, and innovations (2025). 31 p. |
| spellingShingle | surveys partnerships alimentación digital technology dieta tecnología digital dietary nutrition assessment evaluación nutricional dieta evaluación dietética Ramos, Gresia Lizarazo, Miguel Estrada, Oscar Jimenez, Daniel High-frequency monitoring of diet quality in Guatemala: Key results, advances, and innovations (2025) |
| title | High-frequency monitoring of diet quality in Guatemala: Key results, advances, and innovations (2025) |
| title_full | High-frequency monitoring of diet quality in Guatemala: Key results, advances, and innovations (2025) |
| title_fullStr | High-frequency monitoring of diet quality in Guatemala: Key results, advances, and innovations (2025) |
| title_full_unstemmed | High-frequency monitoring of diet quality in Guatemala: Key results, advances, and innovations (2025) |
| title_short | High-frequency monitoring of diet quality in Guatemala: Key results, advances, and innovations (2025) |
| title_sort | high frequency monitoring of diet quality in guatemala key results advances and innovations 2025 |
| topic | surveys partnerships alimentación digital technology dieta tecnología digital dietary nutrition assessment evaluación nutricional dieta evaluación dietética |
| url | https://hdl.handle.net/10568/180183 |
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