Quantitative foresight modeling to inform the CGIAR research portfolio
This report provides a quantitative assessment of the impacts of alternative investment options on the CGIAR’s SLOs (relating to poverty – SLO1, food and nutrition security – SLO2, and natural resources and ecosystem services – SLO3) in the context of changes in population, income, technology, and c...
| Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
|---|---|
| Formato: | Informe técnico |
| Lenguaje: | Inglés |
| Publicado: |
International Food Policy Research Institute
2017
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/148186 |
| _version_ | 1855523050365124608 |
|---|---|
| author | Rosegrant, Mark W. Sulser, Timothy B. Mason-D'Croz, Daniel Cenacchi, Nicola Nin-Pratt, Alejandro Dunston, Shahnila Zhu, Tingju Ringler, Claudia Wiebe, Keith D. Robinson, Sherman Willenbockel, Dirk Xie, Hua Kwon, Ho Young Johnson, Timothy Thomas, Timothy S. Wimmer, Florian Schaldach, Rüdiger Nelson, Gerald C. Willaarts, Barbara Alene, A. Amovin-Assagba, E. Aw-Hassan, A. Bantilan, C. Chan, Chin Yee Dermawan, A. Enahoro, D. Fadiga, M. Fiamohe, R. Frija, A. Gbegbelegbe, Sika Gotor, E. Hareau, G. Kikulwe, E. Kruseman, G. Marshall, M. Mohanty, S. Mottaleb, K. A. Nedumaran, S. Petsakos, A. Pradel, W. Prager, Steven D. Regmi, A. Setiyono, T. D. Sood, A. Staal, S. Suryadarma, D. Tesfaye Fantaye, K. Tran, Nhuong Villholth, K. |
| author_browse | Alene, A. Amovin-Assagba, E. Aw-Hassan, A. Bantilan, C. Cenacchi, Nicola Chan, Chin Yee Dermawan, A. Dunston, Shahnila Enahoro, D. Fadiga, M. Fiamohe, R. Frija, A. Gbegbelegbe, Sika Gotor, E. Hareau, G. Johnson, Timothy Kikulwe, E. Kruseman, G. Kwon, Ho Young Marshall, M. Mason-D'Croz, Daniel Mohanty, S. Mottaleb, K. A. Nedumaran, S. Nelson, Gerald C. Nin-Pratt, Alejandro Petsakos, A. Pradel, W. Prager, Steven D. Regmi, A. Ringler, Claudia Robinson, Sherman Rosegrant, Mark W. Schaldach, Rüdiger Setiyono, T. D. Sood, A. Staal, S. Sulser, Timothy B. Suryadarma, D. Tesfaye Fantaye, K. Thomas, Timothy S. Tran, Nhuong Villholth, K. Wiebe, Keith D. Willaarts, Barbara Willenbockel, Dirk Wimmer, Florian Xie, Hua Zhu, Tingju |
| author_facet | Rosegrant, Mark W. Sulser, Timothy B. Mason-D'Croz, Daniel Cenacchi, Nicola Nin-Pratt, Alejandro Dunston, Shahnila Zhu, Tingju Ringler, Claudia Wiebe, Keith D. Robinson, Sherman Willenbockel, Dirk Xie, Hua Kwon, Ho Young Johnson, Timothy Thomas, Timothy S. Wimmer, Florian Schaldach, Rüdiger Nelson, Gerald C. Willaarts, Barbara Alene, A. Amovin-Assagba, E. Aw-Hassan, A. Bantilan, C. Chan, Chin Yee Dermawan, A. Enahoro, D. Fadiga, M. Fiamohe, R. Frija, A. Gbegbelegbe, Sika Gotor, E. Hareau, G. Kikulwe, E. Kruseman, G. Marshall, M. Mohanty, S. Mottaleb, K. A. Nedumaran, S. Petsakos, A. Pradel, W. Prager, Steven D. Regmi, A. Setiyono, T. D. Sood, A. Staal, S. Suryadarma, D. Tesfaye Fantaye, K. Tran, Nhuong Villholth, K. |
| author_sort | Rosegrant, Mark W. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This report provides a quantitative assessment of the impacts of alternative investment options on the CGIAR’s SLOs (relating to poverty – SLO1, food and nutrition security – SLO2, and natural resources and ecosystem services – SLO3) in the context of changes in population, income, technology, and climate to 2050 as well as for key SDGs of importance to the developing world. The report serves as a source of information and evidence of the impact of CGIAR efforts in agricultural R&D as well as the role of complementary investments. It is intended to help the CGIAR Centers, CG Research Programs (CRP), system management, and donors to complement other efforts to assess the overall impact and benefits of investing in international and national agricultural research programs. |
| format | Informe técnico |
| id | CGSpace148186 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2017 |
| publishDateRange | 2017 |
| publishDateSort | 2017 |
| publisher | International Food Policy Research Institute |
| publisherStr | International Food Policy Research Institute |
| record_format | dspace |
| spelling | CGSpace1481862025-11-06T05:59:34Z Quantitative foresight modeling to inform the CGIAR research portfolio Rosegrant, Mark W. Sulser, Timothy B. Mason-D'Croz, Daniel Cenacchi, Nicola Nin-Pratt, Alejandro Dunston, Shahnila Zhu, Tingju Ringler, Claudia Wiebe, Keith D. Robinson, Sherman Willenbockel, Dirk Xie, Hua Kwon, Ho Young Johnson, Timothy Thomas, Timothy S. Wimmer, Florian Schaldach, Rüdiger Nelson, Gerald C. Willaarts, Barbara Alene, A. Amovin-Assagba, E. Aw-Hassan, A. Bantilan, C. Chan, Chin Yee Dermawan, A. Enahoro, D. Fadiga, M. Fiamohe, R. Frija, A. Gbegbelegbe, Sika Gotor, E. Hareau, G. Kikulwe, E. Kruseman, G. Marshall, M. Mohanty, S. Mottaleb, K. A. Nedumaran, S. Petsakos, A. Pradel, W. Prager, Steven D. Regmi, A. Setiyono, T. D. Sood, A. Staal, S. Suryadarma, D. Tesfaye Fantaye, K. Tran, Nhuong Villholth, K. natural resources mathematical models investment nutrition research programmes food security poverty ecosystem services This report provides a quantitative assessment of the impacts of alternative investment options on the CGIAR’s SLOs (relating to poverty – SLO1, food and nutrition security – SLO2, and natural resources and ecosystem services – SLO3) in the context of changes in population, income, technology, and climate to 2050 as well as for key SDGs of importance to the developing world. The report serves as a source of information and evidence of the impact of CGIAR efforts in agricultural R&D as well as the role of complementary investments. It is intended to help the CGIAR Centers, CG Research Programs (CRP), system management, and donors to complement other efforts to assess the overall impact and benefits of investing in international and national agricultural research programs. 2017 2024-06-21T09:24:00Z 2024-06-21T09:24:00Z Report https://hdl.handle.net/10568/148186 en https://hdl.handle.net/10568/150391 https://hdl.handle.net/10568/72508 https://doi.org/10.1029/2019EF001287 https://doi.org/10.1016/j.gfs.2020.100441 https://doi.org/10.1093/ajcn/nqab101 application/pdf International Food Policy Research Institute Rosegrant, Mark W.; Sulser, Timothy B.; Mason-D’Croz, Daniel; Cenacchi, Nicola; Nin-Pratt, Alejandro; et al. 2017. Quantitative foresight modeling to inform the CGIAR research portfolio. Project Report for USAID. Washington, DC: International Food Policy Research Institute (IFPRI). https://hdl.handle.net/10568/148186 |
| spellingShingle | natural resources mathematical models investment nutrition research programmes food security poverty ecosystem services Rosegrant, Mark W. Sulser, Timothy B. Mason-D'Croz, Daniel Cenacchi, Nicola Nin-Pratt, Alejandro Dunston, Shahnila Zhu, Tingju Ringler, Claudia Wiebe, Keith D. Robinson, Sherman Willenbockel, Dirk Xie, Hua Kwon, Ho Young Johnson, Timothy Thomas, Timothy S. Wimmer, Florian Schaldach, Rüdiger Nelson, Gerald C. Willaarts, Barbara Alene, A. Amovin-Assagba, E. Aw-Hassan, A. Bantilan, C. Chan, Chin Yee Dermawan, A. Enahoro, D. Fadiga, M. Fiamohe, R. Frija, A. Gbegbelegbe, Sika Gotor, E. Hareau, G. Kikulwe, E. Kruseman, G. Marshall, M. Mohanty, S. Mottaleb, K. A. Nedumaran, S. Petsakos, A. Pradel, W. Prager, Steven D. Regmi, A. Setiyono, T. D. Sood, A. Staal, S. Suryadarma, D. Tesfaye Fantaye, K. Tran, Nhuong Villholth, K. Quantitative foresight modeling to inform the CGIAR research portfolio |
| title | Quantitative foresight modeling to inform the CGIAR research portfolio |
| title_full | Quantitative foresight modeling to inform the CGIAR research portfolio |
| title_fullStr | Quantitative foresight modeling to inform the CGIAR research portfolio |
| title_full_unstemmed | Quantitative foresight modeling to inform the CGIAR research portfolio |
| title_short | Quantitative foresight modeling to inform the CGIAR research portfolio |
| title_sort | quantitative foresight modeling to inform the cgiar research portfolio |
| topic | natural resources mathematical models investment nutrition research programmes food security poverty ecosystem services |
| url | https://hdl.handle.net/10568/148186 |
| work_keys_str_mv | AT rosegrantmarkw quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT sulsertimothyb quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT masondcrozdaniel quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT cenacchinicola quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT ninprattalejandro quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT dunstonshahnila quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT zhutingju quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT ringlerclaudia quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT wiebekeithd quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT robinsonsherman quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT willenbockeldirk quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT xiehua quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT kwonhoyoung quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT johnsontimothy quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT thomastimothys quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT wimmerflorian quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT schaldachrudiger quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT nelsongeraldc quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT willaartsbarbara quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT alenea quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT amovinassagbae quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT awhassana quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT bantilanc quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT chanchinyee quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT dermawana quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT enahorod quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT fadigam quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT fiamoher quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT frijaa quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT gbegbelegbesika quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT gotore quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT hareaug quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT kikulwee quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT krusemang quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT marshallm quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT mohantys quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT mottalebka quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT nedumarans quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT petsakosa quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT pradelw quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT pragerstevend quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT regmia quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT setiyonotd quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT sooda quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT staals quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT suryadarmad quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT tesfayefantayek quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT trannhuong quantitativeforesightmodelingtoinformthecgiarresearchportfolio AT villholthk quantitativeforesightmodelingtoinformthecgiarresearchportfolio |