A framework for priority setting in international livestock research

Priorities are assessed according to: the contribution of the proposed research to poverty alleviation; expected economic and environmental impacts; internationality of the problem and solution; and contribution to capacity building and improved research efficiency. A weighted composite index is the...

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Main Authors: Randolph, Thomas F., Kristjanson, Patricia M., Omamo, Steven Were, Odero, A.N., Thornton, Philip K., Reid, Robin S., Robinson, Timothy P., Ryan, J.G.
Format: Journal Article
Language:Inglés
Published: Oxford University Press 2001
Online Access:https://hdl.handle.net/10568/1105
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author Randolph, Thomas F.
Kristjanson, Patricia M.
Omamo, Steven Were
Odero, A.N.
Thornton, Philip K.
Reid, Robin S.
Robinson, Timothy P.
Ryan, J.G.
author_browse Kristjanson, Patricia M.
Odero, A.N.
Omamo, Steven Were
Randolph, Thomas F.
Reid, Robin S.
Robinson, Timothy P.
Ryan, J.G.
Thornton, Philip K.
author_facet Randolph, Thomas F.
Kristjanson, Patricia M.
Omamo, Steven Were
Odero, A.N.
Thornton, Philip K.
Reid, Robin S.
Robinson, Timothy P.
Ryan, J.G.
author_sort Randolph, Thomas F.
collection Repository of Agricultural Research Outputs (CGSpace)
description Priorities are assessed according to: the contribution of the proposed research to poverty alleviation; expected economic and environmental impacts; internationality of the problem and solution; and contribution to capacity building and improved research efficiency. A weighted composite index is then derived. The framework allows Monte Carlo sampling of probability distributions imputed to uncertain input variables. Resultant probability distributions can then be compared to assist in selecting efficient candidate research themes. Use of the framework is illustrated with respect to research themes that may be undertaken by ILRI and partners. Results confirm the importance of a portfolio approach to priority setting.
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publishDate 2001
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spelling CGSpace11052025-03-26T16:36:13Z A framework for priority setting in international livestock research Randolph, Thomas F. Kristjanson, Patricia M. Omamo, Steven Were Odero, A.N. Thornton, Philip K. Reid, Robin S. Robinson, Timothy P. Ryan, J.G. Priorities are assessed according to: the contribution of the proposed research to poverty alleviation; expected economic and environmental impacts; internationality of the problem and solution; and contribution to capacity building and improved research efficiency. A weighted composite index is then derived. The framework allows Monte Carlo sampling of probability distributions imputed to uncertain input variables. Resultant probability distributions can then be compared to assist in selecting efficient candidate research themes. Use of the framework is illustrated with respect to research themes that may be undertaken by ILRI and partners. Results confirm the importance of a portfolio approach to priority setting. 2001-12-01 2010-04-06T09:25:20Z 2010-04-06T09:25:20Z Journal Article https://hdl.handle.net/10568/1105 en Limited Access Oxford University Press Randolph T.F., Kristjanson P.M., Omamo S.W., Odero A.N., Thornton P.K., Reid R.S., Robinson T., and Ryan J.G. 2001. A framework for priority setting in international livestock research. Research Evaluation, Vol 10, No. 3: 142-159.
spellingShingle Randolph, Thomas F.
Kristjanson, Patricia M.
Omamo, Steven Were
Odero, A.N.
Thornton, Philip K.
Reid, Robin S.
Robinson, Timothy P.
Ryan, J.G.
A framework for priority setting in international livestock research
title A framework for priority setting in international livestock research
title_full A framework for priority setting in international livestock research
title_fullStr A framework for priority setting in international livestock research
title_full_unstemmed A framework for priority setting in international livestock research
title_short A framework for priority setting in international livestock research
title_sort framework for priority setting in international livestock research
url https://hdl.handle.net/10568/1105
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