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Facilitating Change for Climate-Smart Agriculture through Science-Policy Engagement

D. Dinesh,R. Zougmoré,J. Vervoort,E. Totin,P. Thornton,D. Solomon,P. Shirsath,V. Pede,I. Noriega,P. Läderach,J. Körner,D. Hegger,E. Girvetz,A. Friis,P. Driessen,B. Campbell

Published 2018 in Sustainability

ABSTRACT

Climate change impacts on agriculture have become evident, and threaten the achievement of global food security. On the other hand, the agricultural sector itself is a cause of climate change, and if actions are not taken, the sector might impede the achievement of global climate goals. Science-policy engagement efforts are crucial to ensure that scientific findings from agricultural research for development inform actions of governments, private sector, non-governmental organizations (NGOs) and international development partners, accelerating progress toward global goals. However, knowledge gaps on what works limit progress. In this paper, we analyzed 34 case studies of science-policy engagement efforts, drawn from six years of agricultural research for development efforts around climate-smart agriculture by the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS). Based on lessons derived from these case studies, we critically assessed and refined the program theory of the CCAFS program, leading to a revised and improved program theory for science-policy engagement for agriculture research for development under climate change. This program theory offers a pragmatic pathway to enhance credibility, salience and legitimacy of research, which relies on engagement (participatory and demand-driven research processes), evidence (building scientific credibility while adopting an opportunistic and flexible approach) and outreach (effective communication and capacity building).

PUBLICATION RECORD

  • Publication year

    2018

  • Venue

    Sustainability

  • Publication date

    2018-07-26

  • Fields of study

    Agricultural and Food Sciences, Political Science, Economics, Environmental Science

  • Identifiers
    DOI 10.3390/SU10082616
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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