Prioritizing Tanzania’s agricultural development policy to build smallholder climate resilience. Final report for the Bill & Melinda Gates Foundation Grand Challenges Explorations 22: Risk-explicit and Evidence-based Policy Prioritization (REAP)
Faced with myriad options, Sub-Saharan Africa policy makers struggle to prioritize actions. Commonly used modeling approaches perform poorly in data scare conditions or focus intently on tools at hand. Policies, by consequence, report ‘wish lists’, making them a challenge to implement given resource...
| Autores principales: | , , , , , , , , |
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| Formato: | Informe técnico |
| Lenguaje: | Inglés |
| Publicado: |
Accelerating Impacts of CGIAR Climate Research for Africa
2021
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/114218 |
| _version_ | 1855520098276605952 |
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| author | Lamanna, Christine Yet, Barbaros Kimaro, Anthony A. Shepherd, Keith D. Jones, Kristal Mayzelle, Megan Nowak, Andreea C. Salemo, Kate Rosenstock, Todd S. |
| author_browse | Jones, Kristal Kimaro, Anthony A. Lamanna, Christine Mayzelle, Megan Nowak, Andreea C. Rosenstock, Todd S. Salemo, Kate Shepherd, Keith D. Yet, Barbaros |
| author_facet | Lamanna, Christine Yet, Barbaros Kimaro, Anthony A. Shepherd, Keith D. Jones, Kristal Mayzelle, Megan Nowak, Andreea C. Salemo, Kate Rosenstock, Todd S. |
| author_sort | Lamanna, Christine |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Faced with myriad options, Sub-Saharan Africa policy makers struggle to prioritize actions. Commonly used modeling approaches perform poorly in data scare conditions or focus intently on tools at hand. Policies, by consequence, report ‘wish lists’, making them a challenge to implement given resource constraints. Here, we evaluate the potential of using an alternative approach, Bayesian Networks (BNs), to prioritize agricultural policy actions, specifically modeling seven ‘Investment Areas’ listed in Tanzania’s Agriculture Sector Development Programme II. |
| format | Informe técnico |
| id | CGSpace114218 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Accelerating Impacts of CGIAR Climate Research for Africa |
| publisherStr | Accelerating Impacts of CGIAR Climate Research for Africa |
| record_format | dspace |
| spelling | CGSpace1142182024-01-23T12:03:44Z Prioritizing Tanzania’s agricultural development policy to build smallholder climate resilience. Final report for the Bill & Melinda Gates Foundation Grand Challenges Explorations 22: Risk-explicit and Evidence-based Policy Prioritization (REAP) Lamanna, Christine Yet, Barbaros Kimaro, Anthony A. Shepherd, Keith D. Jones, Kristal Mayzelle, Megan Nowak, Andreea C. Salemo, Kate Rosenstock, Todd S. smallholders resilience agricultural development climate Faced with myriad options, Sub-Saharan Africa policy makers struggle to prioritize actions. Commonly used modeling approaches perform poorly in data scare conditions or focus intently on tools at hand. Policies, by consequence, report ‘wish lists’, making them a challenge to implement given resource constraints. Here, we evaluate the potential of using an alternative approach, Bayesian Networks (BNs), to prioritize agricultural policy actions, specifically modeling seven ‘Investment Areas’ listed in Tanzania’s Agriculture Sector Development Programme II. 2021-07-07 2021-07-07T14:15:00Z 2021-07-07T14:15:00Z Report https://hdl.handle.net/10568/114218 en Open Access application/pdf Accelerating Impacts of CGIAR Climate Research for Africa Lamanna C, Yet B, Kimaro A, Shepherd K, Jones K, Mayzelle M, Nowak A, Salemo K, Rosenstock T. 2021. Prioritizing Tanzania’s agricultural development policy to build smallholder climate resilience. Final report for the Bill & Melinda Gates Foundation Grand Challenges Explorations 22: Risk-explicit and Evidence-based Policy Prioritization (REAP). |
| spellingShingle | smallholders resilience agricultural development climate Lamanna, Christine Yet, Barbaros Kimaro, Anthony A. Shepherd, Keith D. Jones, Kristal Mayzelle, Megan Nowak, Andreea C. Salemo, Kate Rosenstock, Todd S. Prioritizing Tanzania’s agricultural development policy to build smallholder climate resilience. Final report for the Bill & Melinda Gates Foundation Grand Challenges Explorations 22: Risk-explicit and Evidence-based Policy Prioritization (REAP) |
| title | Prioritizing Tanzania’s agricultural development policy to build smallholder climate resilience. Final report for the Bill & Melinda Gates Foundation Grand Challenges Explorations 22: Risk-explicit and Evidence-based Policy Prioritization (REAP) |
| title_full | Prioritizing Tanzania’s agricultural development policy to build smallholder climate resilience. Final report for the Bill & Melinda Gates Foundation Grand Challenges Explorations 22: Risk-explicit and Evidence-based Policy Prioritization (REAP) |
| title_fullStr | Prioritizing Tanzania’s agricultural development policy to build smallholder climate resilience. Final report for the Bill & Melinda Gates Foundation Grand Challenges Explorations 22: Risk-explicit and Evidence-based Policy Prioritization (REAP) |
| title_full_unstemmed | Prioritizing Tanzania’s agricultural development policy to build smallholder climate resilience. Final report for the Bill & Melinda Gates Foundation Grand Challenges Explorations 22: Risk-explicit and Evidence-based Policy Prioritization (REAP) |
| title_short | Prioritizing Tanzania’s agricultural development policy to build smallholder climate resilience. Final report for the Bill & Melinda Gates Foundation Grand Challenges Explorations 22: Risk-explicit and Evidence-based Policy Prioritization (REAP) |
| title_sort | prioritizing tanzania s agricultural development policy to build smallholder climate resilience final report for the bill melinda gates foundation grand challenges explorations 22 risk explicit and evidence based policy prioritization reap |
| topic | smallholders resilience agricultural development climate |
| url | https://hdl.handle.net/10568/114218 |
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