Learning from failure at the science–policy interface for climate action in agriculture
Science–policy engagement efforts to accelerate climate action in agricultural systems are key to enable the sector to contribute to climate and food security goals. However, lessons to improve science–policy engagement efforts in this context mostly come from successful efforts and are limited in t...
| Autores principales: | , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Springer
2021
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/113098 |
| _version_ | 1855539084326338560 |
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| author | Dinesh, Dhanush Hegger, Dries Vervoort, Joost M. Campbell, Bruce M. Driessen, Peter P.J. |
| author_browse | Campbell, Bruce M. Dinesh, Dhanush Driessen, Peter P.J. Hegger, Dries Vervoort, Joost M. |
| author_facet | Dinesh, Dhanush Hegger, Dries Vervoort, Joost M. Campbell, Bruce M. Driessen, Peter P.J. |
| author_sort | Dinesh, Dhanush |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Science–policy engagement efforts to accelerate climate action in agricultural systems are key to enable the sector to contribute to climate and food security goals. However, lessons to improve science–policy engagement efforts in this context mostly come from successful efforts and are limited in terms of empirical scope. Moreover, lessons have not been generated systematically from failed science–policy engagement efforts. Such analysis using lessons from failure management can improve or even transform the efficacy of efforts. To address this knowledge gap, we examined challenges and failures faced in science–policy engagement efforts of the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS). We developed an explanatory framework inspired by Cash et al.’s criteria for successful knowledge systems for sustainable development: credibility, salience, and legitimacy, complemented with insights from the wider literature. Using this framework in a survey, we identified factors which explain failure. To effectively manage these factors, we propose a novel approach for researchers working at the science–policy interface to fail intelligently, which involves planning for failure, minimizing risks, effective design, making failures visible, and learning from failures. This approach needs to be complemented by actions at the knowledge system level to create an enabling environment for science–policy interfaces. |
| format | Journal Article |
| id | CGSpace113098 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | CGSpace1130982024-01-17T12:58:34Z Learning from failure at the science–policy interface for climate action in agriculture Dinesh, Dhanush Hegger, Dries Vervoort, Joost M. Campbell, Bruce M. Driessen, Peter P.J. climate change agriculture food security adaptation mitigation Science–policy engagement efforts to accelerate climate action in agricultural systems are key to enable the sector to contribute to climate and food security goals. However, lessons to improve science–policy engagement efforts in this context mostly come from successful efforts and are limited in terms of empirical scope. Moreover, lessons have not been generated systematically from failed science–policy engagement efforts. Such analysis using lessons from failure management can improve or even transform the efficacy of efforts. To address this knowledge gap, we examined challenges and failures faced in science–policy engagement efforts of the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS). We developed an explanatory framework inspired by Cash et al.’s criteria for successful knowledge systems for sustainable development: credibility, salience, and legitimacy, complemented with insights from the wider literature. Using this framework in a survey, we identified factors which explain failure. To effectively manage these factors, we propose a novel approach for researchers working at the science–policy interface to fail intelligently, which involves planning for failure, minimizing risks, effective design, making failures visible, and learning from failures. This approach needs to be complemented by actions at the knowledge system level to create an enabling environment for science–policy interfaces. 2021-01 2021-03-24T13:12:03Z 2021-03-24T13:12:03Z Journal Article https://hdl.handle.net/10568/113098 en Open Access Springer Dinesh D, Hegger D, Vervoort J, Campbell BM, Driessen PPJ. 2021. Learning from failure at the science–policy interface for climate action in agriculture. Mitigation and Adaptation Strategies for Global Change 26:2. |
| spellingShingle | climate change agriculture food security adaptation mitigation Dinesh, Dhanush Hegger, Dries Vervoort, Joost M. Campbell, Bruce M. Driessen, Peter P.J. Learning from failure at the science–policy interface for climate action in agriculture |
| title | Learning from failure at the science–policy interface for climate action in agriculture |
| title_full | Learning from failure at the science–policy interface for climate action in agriculture |
| title_fullStr | Learning from failure at the science–policy interface for climate action in agriculture |
| title_full_unstemmed | Learning from failure at the science–policy interface for climate action in agriculture |
| title_short | Learning from failure at the science–policy interface for climate action in agriculture |
| title_sort | learning from failure at the science policy interface for climate action in agriculture |
| topic | climate change agriculture food security adaptation mitigation |
| url | https://hdl.handle.net/10568/113098 |
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