Capacity development is regarded by CGIAR as an effective vehicle for sustainable development, when embedded within broader CGIAR Research Programs (CRP). This document offers guidelines on how CGIAR and boundary partners (or those partners who take up and adapt research results for the next level of users) can successfully develop and implement strategies which support this process of integration.
Farmers and businesses need to adapt constantly if they are to survive and compete in the rapidly evolving environment associated with the contemporary agricultural sector. Rethinking agricultural research as part of a dynamic system of innovation could help to design ways of creating and sustaining conditions that will support the process of adaptation and innovation. This approach involves developing the working styles and practices of individuals and organizations and the incentives, support structures and policy environments that encourage innovation.
Innovations in the agri-food sector are needed to create a sustainable food supply. Sustainable food supply requires unexpectedly that densely populated regions remain food producers. A Dutch innovation program has aimed at showing the way forward through creating a number of practice and scientific projects. Generic lessons from the scientific projects in this program are likely to be of interest to agricultural innovation in other densely populated regions in the world.
To give more attention to the normative character of sustainable development, the Dutch Ministry of Agriculture, Nature, and Food Quality requested for a participatory approach to evaluate Dutch agriculture, which was characterized by stakeholder workshops, dialogue, and learning. This article describes and reflects on this approach, using the Fourth Generation Evaluation framework developed by Guba and Lincoln (Fourth generation evaluation, 1989).
Participatory action research (PAR) is an approach for fully co-creating research into environmental problems with the public. The paper argues this is mostly done for manifest environmental problems that clearly threaten livelihoods and have highly predictable impacts. But the conventional PAR approach is not suitable when the impacts are poorly understood and pose a low threat to livelihoods. Such latent environmental problems do not have a clear conflict to be resolved; instead, the community’s inertia should be overcome.
Grand societal challenges, such as global warming, can only be adequately dealt with through wide-ranging changes in technology, production and consumption, and ways of life, that is, through innovation. Furthermore, change will involve a variety of sectors or parts of the economy and society, and these change processes must be sufficiently consistent in order to achieve the desired results. This poses huge challenges for policy-making. This paper focus on implications for the governance of innovation policy, i.e., policies influencing a country’s innovation performance.
Multi-stakeholder or innovation platforms are increasingly seen as a promising vehicle for agricultural innovation and development. In the field of agricultural research for development (AR4D), such platforms are an important element of a commitment to more intentional, structured and long-term engagement among sector stakeholders.
This policy brief consolidates lessons learned from an in-depth literature review on small-scale farmer (SSF) innovation systems and a two-day expert consultation on the same topic, hosted in Geneva by Quaker United Nations Office (QUNO) in May 2015. This review draws together published literature on the evolution of the concept, how on-farm innovation systems function in practice, and the roles of outside actors in supporting them.
The capacity of existing monitoring and decision making tools in generating evidence about the performance of R4D with multi-stakeholder processes, such as innovation platforms (IPs), public private partnerships (PPP), participatory value chain management (PVCM) is very limited. Results of these tools are either contextual and qualitative such as case studies that can not be used by other R4D interventions or quantitative i.e. impact assessments that do not inform what works in R4D.
Social learning in multi-actor innovation networks is increasingly considered an important precondition for addressing sustainability in regional development contexts. Social learning is seen as a means for enabling stakeholders to take advantage of the diversity in perspectives, interests and values for generating more sustainable practices and policies. Although more and more research is done on the meaning and manifestations of social learning, particularly in the context of natural resource management, little is known about the social dynamics in the process of social learning.