Quantitative foresight modeling to inform the CGIAR research portfolio

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cg.authorship.typesCGIAR single centre
cg.contributor.crpPolicies, Institutions, and Markets
cg.contributor.crpClimate Change, Agriculture and Food Security
cg.contributor.donorBill & Melinda Gates Foundation
cg.contributor.donorUnited States Agency for International Development
cg.creator.identifierMark Rosegrant: 0000-0001-6371-6127
cg.creator.identifierTimothy B. Sulser: 0000-0001-7128-5283
cg.creator.identifierDaniel Mason-D'Croz: 0000-0003-0673-2301
cg.creator.identifierNicola Cenacchi: 0000-0003-1913-4263
cg.creator.identifierAlejandro Nin Pratt: 0000-0001-9144-2127
cg.creator.identifierTingju Zhu: 0000-0002-6882-3551
cg.creator.identifierClaudia Ringler: 0000-0002-8266-0488
cg.creator.identifierKeith Wiebe: 0000-0001-6035-620X
cg.creator.identifierSherman Robinson: 0000-0002-5478-9372
cg.creator.identifierHua Xie: 0000-0001-8335-8160
cg.creator.identifierHoyoung Kwon: 0000-0002-3421-9292
cg.creator.identifierTimothy Johnson: 0000-0001-8484-8196
cg.creator.identifierTimothy Thomas: 0000-0002-7951-8157
cg.creator.identifierShahnila Islam: 0000-0002-3589-3350
cg.creator.identifierGuy Gaston HAREAU ALGORTA: 0000-0002-8458-9259
cg.creator.identifierSteven D. Prager: 0000-0001-9830-7008
cg.identifier.projectIFPRI - Environment and Production Technology Division
cg.identifier.projectIFPRI - Global Futures and Strategic Foresight
cg.identifier.publicationRankNot ranked
cg.placeWashington, DC
cg.reviewStatusInternal Review
dc.contributor.authorRosegrant, Mark W.
dc.contributor.authorSulser, Timothy B.
dc.contributor.authorMason-D'Croz, Daniel
dc.contributor.authorCenacchi, Nicola
dc.contributor.authorNin-Pratt, Alejandro
dc.contributor.authorDunston, Shahnila
dc.contributor.authorZhu, Tingju
dc.contributor.authorRingler, Claudia
dc.contributor.authorWiebe, Keith D.
dc.contributor.authorRobinson, Sherman
dc.contributor.authorWillenbockel, Dirk
dc.contributor.authorXie, Hua
dc.contributor.authorKwon, Ho Young
dc.contributor.authorJohnson, Timothy
dc.contributor.authorThomas, Timothy S.
dc.contributor.authorWimmer, Florian
dc.contributor.authorSchaldach, Rüdiger
dc.contributor.authorNelson, Gerald C.
dc.contributor.authorWillaarts, Barbara
dc.contributor.authorAlene, A.
dc.contributor.authorAmovin-Assagba, E.
dc.contributor.authorAw-Hassan, A.
dc.contributor.authorBantilan, C.
dc.contributor.authorChan, Chin Yee
dc.contributor.authorDermawan, A.
dc.contributor.authorEnahoro, D.
dc.contributor.authorFadiga, M.
dc.contributor.authorFiamohe, R.
dc.contributor.authorFrija, A.
dc.contributor.authorGbegbelegbe, Sika
dc.contributor.authorGotor, E.
dc.contributor.authorHareau, G.
dc.contributor.authorKikulwe, E.
dc.contributor.authorKruseman, G.
dc.contributor.authorMarshall, M.
dc.contributor.authorMohanty, S.
dc.contributor.authorMottaleb, K. A.
dc.contributor.authorNedumaran, S.
dc.contributor.authorPetsakos, A.
dc.contributor.authorPradel, W.
dc.contributor.authorPrager, Steven D.
dc.contributor.authorRegmi, A.
dc.contributor.authorSetiyono, T. D.
dc.contributor.authorSood, A.
dc.contributor.authorStaal, S.
dc.contributor.authorSuryadarma, D.
dc.contributor.authorTesfaye Fantaye, K.
dc.contributor.authorTran, Nhuong
dc.contributor.authorVillholth, K.
dc.date.accessioned2024-06-21T09:24:00Zen
dc.date.available2024-06-21T09:24:00Zen
dc.identifier.urihttps://hdl.handle.net/10568/148186
dc.titleQuantitative foresight modeling to inform the CGIAR research portfolioen
dcterms.abstractThis 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.en
dcterms.accessRightsOpen Access
dcterms.bibliographicCitationRosegrant, 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/10568/148186en
dcterms.extent225 pages
dcterms.isPartOfProject Report for USAIDen
dcterms.issued2017
dcterms.languageen
dcterms.publisherInternational Food Policy Research Institute
dcterms.relationhttps://hdl.handle.net/10568/150391en
dcterms.relationhttps://hdl.handle.net/10568/72508en
dcterms.relationhttps://doi.org/10.1029/2019EF001287en
dcterms.relationhttps://doi.org/10.1016/j.gfs.2020.100441en
dcterms.relationhttps://doi.org/10.1093/ajcn/nqab101en
dcterms.replaceshttps://ebrary.ifpri.org/digital/collection/p15738coll2/id/131144
dcterms.subjectnatural resourcesen
dcterms.subjectmathematical modelsen
dcterms.subjectinvestmenten
dcterms.subjectnutritionen
dcterms.subjectresearch programmesen
dcterms.subjectfood securityen
dcterms.subjectpovertyen
dcterms.subjectecosystem servicesen
dcterms.typeReport

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