Quantitative foresight modeling to inform the CGIAR research portfolio
Citation
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
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Abstract/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.
Author ORCID identifiers
Timothy B. Sulser https://orcid.org/0000-0001-7128-5283
Daniel Mason-D'Croz https://orcid.org/0000-0003-0673-2301
Nicola Cenacchi https://orcid.org/0000-0003-1913-4263
Alejandro Nin Pratt https://orcid.org/0000-0001-9144-2127
Tingju Zhu https://orcid.org/0000-0002-6882-3551
Claudia Ringler https://orcid.org/0000-0002-8266-0488
Keith Wiebe https://orcid.org/0000-0001-6035-620X
Sherman Robinson https://orcid.org/0000-0002-5478-9372
Hua Xie https://orcid.org/0000-0001-8335-8160
Hoyoung Kwon https://orcid.org/0000-0002-3421-9292
Timothy Johnson https://orcid.org/0000-0001-8484-8196
Timothy Thomas https://orcid.org/0000-0002-7951-8157
Shahnila Islam https://orcid.org/0000-0002-3589-3350
Guy Gaston HAREAU ALGORTA https://orcid.org/0000-0002-8458-9259
Steven D. Prager https://orcid.org/0000-0001-9830-7008