Navigating the complexity of scaling climate solutions through multi-level pathways: The AICCRA meta framework
The AICCRA Meta Scaling Framework provides a strategic, adaptable approach for scaling. Developed under the AICCRA program for scaling climate-smart agriculture (CSA) and climate information services (CIS) across its six implementation countries in Africa, it addresses the complexity of scaling by e...
| Autores principales: | , , , , , , |
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| Formato: | Brief |
| Lenguaje: | Inglés |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/175697 |
| _version_ | 1855537884223766528 |
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| author | Ewell, Hanna Sartas, Murat Girvetz, Evan Ogutu, Liz Ouedraogo, Mathieu Kagabo, Desire Byandaga, Livingstone |
| author_browse | Byandaga, Livingstone Ewell, Hanna Girvetz, Evan Kagabo, Desire Ogutu, Liz Ouedraogo, Mathieu Sartas, Murat |
| author_facet | Ewell, Hanna Sartas, Murat Girvetz, Evan Ogutu, Liz Ouedraogo, Mathieu Kagabo, Desire Byandaga, Livingstone |
| author_sort | Ewell, Hanna |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The AICCRA Meta Scaling Framework provides a strategic, adaptable approach for scaling. Developed under the AICCRA program for scaling climate-smart agriculture (CSA) and climate information services (CIS) across its six implementation countries in Africa, it addresses the complexity of scaling by emphasizing technical excellence, demand and investment, and sustained use, while also considering socio-political context, digital readiness, and capable partnerships. Rather than viewing scaling as a linear expansion, the framework supports multi-dimensional pathways that integrate local knowledge, business models, and policy engagement. It encourages responsible, inclusive scaling that moves beyond simple reach metrics to long-term adoption and impact. The case of Ghana’s ‘Smart Seeds’ bundle illustrates this approach, combining improved seed varieties, agronomic training, and climate services to increase yields and farmer adoption. By identifying fit-for-purpose engagements and strengthening institutional capacity as key, AICCRA’s Meta Framework guides country clusters toward sustainable, context-specific agricultural transformation, ultimately contributing to more resilient and equitable food systems across diverse African landscapes. |
| format | Brief |
| id | CGSpace175697 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| record_format | dspace |
| spelling | CGSpace1756972025-12-08T10:11:39Z Navigating the complexity of scaling climate solutions through multi-level pathways: The AICCRA meta framework Ewell, Hanna Sartas, Murat Girvetz, Evan Ogutu, Liz Ouedraogo, Mathieu Kagabo, Desire Byandaga, Livingstone evaluation agriculture climate-smart agriculture-climate smart agriculture sustainable development partnerships scaling up climate services-climate information services investment frameworks bundling innovation scaling-scaling of innovations The AICCRA Meta Scaling Framework provides a strategic, adaptable approach for scaling. Developed under the AICCRA program for scaling climate-smart agriculture (CSA) and climate information services (CIS) across its six implementation countries in Africa, it addresses the complexity of scaling by emphasizing technical excellence, demand and investment, and sustained use, while also considering socio-political context, digital readiness, and capable partnerships. Rather than viewing scaling as a linear expansion, the framework supports multi-dimensional pathways that integrate local knowledge, business models, and policy engagement. It encourages responsible, inclusive scaling that moves beyond simple reach metrics to long-term adoption and impact. The case of Ghana’s ‘Smart Seeds’ bundle illustrates this approach, combining improved seed varieties, agronomic training, and climate services to increase yields and farmer adoption. By identifying fit-for-purpose engagements and strengthening institutional capacity as key, AICCRA’s Meta Framework guides country clusters toward sustainable, context-specific agricultural transformation, ultimately contributing to more resilient and equitable food systems across diverse African landscapes. 2025-07 2025-07-21T07:01:30Z 2025-07-21T07:01:30Z Brief https://hdl.handle.net/10568/175697 en Open Access application/pdf Ewell, H.; Sartas, M.; Girvetz, E.; Ogutu, L.; Ouedraogo, M.; Kagabo, D.; Byandaga, L. (2025) Navigating the complexity of scaling climate solutions through multi-level pathways: The AICCRA meta framework. 6 p. |
| spellingShingle | evaluation agriculture climate-smart agriculture-climate smart agriculture sustainable development partnerships scaling up climate services-climate information services investment frameworks bundling innovation scaling-scaling of innovations Ewell, Hanna Sartas, Murat Girvetz, Evan Ogutu, Liz Ouedraogo, Mathieu Kagabo, Desire Byandaga, Livingstone Navigating the complexity of scaling climate solutions through multi-level pathways: The AICCRA meta framework |
| title | Navigating the complexity of scaling climate solutions through multi-level pathways: The AICCRA meta framework |
| title_full | Navigating the complexity of scaling climate solutions through multi-level pathways: The AICCRA meta framework |
| title_fullStr | Navigating the complexity of scaling climate solutions through multi-level pathways: The AICCRA meta framework |
| title_full_unstemmed | Navigating the complexity of scaling climate solutions through multi-level pathways: The AICCRA meta framework |
| title_short | Navigating the complexity of scaling climate solutions through multi-level pathways: The AICCRA meta framework |
| title_sort | navigating the complexity of scaling climate solutions through multi level pathways the aiccra meta framework |
| topic | evaluation agriculture climate-smart agriculture-climate smart agriculture sustainable development partnerships scaling up climate services-climate information services investment frameworks bundling innovation scaling-scaling of innovations |
| url | https://hdl.handle.net/10568/175697 |
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