Global food systems: Can foresight learn from hindsight?
Construction of plausible scenarios for alternative futures of global food systems requires an understanding of how the past led to the present, and the past's likely relevance to the future. Policy actions affected the past, but are very difficult to foresee. Among those that most shaped global foo...
| Autores principales: | , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2019
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/147090 |
| _version_ | 1855532260290199552 |
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| author | Brooks, Karen Place, Frank |
| author_browse | Brooks, Karen Place, Frank |
| author_facet | Brooks, Karen Place, Frank |
| author_sort | Brooks, Karen |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Construction of plausible scenarios for alternative futures of global food systems requires an understanding of how the past led to the present, and the past's likely relevance to the future. Policy actions affected the past, but are very difficult to foresee. Among those that most shaped global food systems in the last half century are measures that fostered productivity growth, expansion of trade, and the interlinkage of agricultural and environmental policies. Scenarios for global food systems, including those using the quantitative tools of the CGIAR's Global Futures and Strategic Foresight modeling approach, explore alternative assumptions in these three areas, among others. Hindsight can inform foresight by highlighting key elements of the past and forcing transparent examination of whether and how these elements will shape the future. |
| format | Journal Article |
| id | CGSpace147090 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace1470902025-03-21T20:44:03Z Global food systems: Can foresight learn from hindsight? Brooks, Karen Place, Frank technological changes agricultural policies trade productivity environmental policies food systems Construction of plausible scenarios for alternative futures of global food systems requires an understanding of how the past led to the present, and the past's likely relevance to the future. Policy actions affected the past, but are very difficult to foresee. Among those that most shaped global food systems in the last half century are measures that fostered productivity growth, expansion of trade, and the interlinkage of agricultural and environmental policies. Scenarios for global food systems, including those using the quantitative tools of the CGIAR's Global Futures and Strategic Foresight modeling approach, explore alternative assumptions in these three areas, among others. Hindsight can inform foresight by highlighting key elements of the past and forcing transparent examination of whether and how these elements will shape the future. 2019-01-17 2024-06-21T09:11:10Z 2024-06-21T09:11:10Z Journal Article https://hdl.handle.net/10568/147090 en https://doi.org/10.1016/j.gfs.2020.100489 Open Access Elsevier Brooks, Karen; and Place, Frank M. 2019. Global food systems: Can foresight learn from hindsight? Global Food Security 20(March 2019): 66-71. https://doi.org/10.1016/j.gfs.2018.12.004 |
| spellingShingle | technological changes agricultural policies trade productivity environmental policies food systems Brooks, Karen Place, Frank Global food systems: Can foresight learn from hindsight? |
| title | Global food systems: Can foresight learn from hindsight? |
| title_full | Global food systems: Can foresight learn from hindsight? |
| title_fullStr | Global food systems: Can foresight learn from hindsight? |
| title_full_unstemmed | Global food systems: Can foresight learn from hindsight? |
| title_short | Global food systems: Can foresight learn from hindsight? |
| title_sort | global food systems can foresight learn from hindsight |
| topic | technological changes agricultural policies trade productivity environmental policies food systems |
| url | https://hdl.handle.net/10568/147090 |
| work_keys_str_mv | AT brookskaren globalfoodsystemscanforesightlearnfromhindsight AT placefrank globalfoodsystemscanforesightlearnfromhindsight |