This toolbox has been developed to collate different tools and methods that can be used for food system analysis.
It is specifically based on systems thinking for food system analysis, with the aim to formulate actionable recommendations that can bring about systemic change.It describes both the process of a food system analysis, as well as a set of tools that can be used at different stages.
This chapter documents the learning process within the framework of innovation of soil fertility management practices that emerged from the implementation of Participatory Extension Approach (PEA) as part of service delivery reorientation within the Limpopo Department of Agriculture in South Africa.The chapter gives a narrative description of what transpired during the interaction between researchers, extension officers and farmers, the processes involved, the lessons and the conclusion.
The guide on Reflexive Monitoring in Action offers principles, practical guidelines as well as theory and tools. Additional tools, developed more recently, are provided separately. The guide and tools focus on three target groups: Reflexive monitors Consultants, innovation brokers and action researchers who are (or will be) handling the actual monitoring Innovation managers Project managers or innovation champions who feel responsible for the progress of the innovation process and the realisation of the system innovation ambition.
This manual describes a number of tools that can be used in courses to facilitate the process of reflecting on the knowledge and experiences participants acquire, with the aim of making their leaning more explicit and articulated and contribute to their professional performance in their own working context.
This research project aims to build ACP capacity to better understand the strengths and weaknesses of the local science, technology and innovation system in the agricultural sector.
Multi-stakeholder (MS) platforms, such as innovation platforms (IP), public-private partnerships (PPP) are becoming more common but what they can achieve in innovation and scaling is limited and depends on different factors. This poster and the broader research paper provide evidence what MS platforms can and cannot achieve in their early phases and give insights about effectiveness and efficiency of Agricultural Research for Development (AR4D) interventions such as CGIAR research programs (CRPs) in low and middle income countries.
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.
This booklet grew out of a study on what makes for responsible scaling in the context of agrifood systems, thinking along the same lines as ideas that gave rise to the concept of responsible research and innovation. In our initial exploration, we brought together a number of angles on the topic area (Wigboldus and Leeuwis, 2013; Wigboldus et al. 2016).
Food security is predicted toface considerable challenges in the upcoming period. This couldbe more profound in developing countries due to rapid societal change and ecological pressure in theseregions. Concerted efforts to deal with these challenges areof great importance, including accelerating th euse of improved agricultural input technology (IAIT) such as high yield varieties of seeds and improved fertilizer formulas. This type of innovation is more suitable to being introduced amongst developing countries farmers in order to increase their productivity.
The transition to a market for agricultural research and knowledge-intensive services presents various challenges for actors in the agricultural knowledge infrastructure, on both the demand side (end users of innovations such as farmers, and the government) and the supply side (providers of research and knowledge-intensive services). New organizational arrangements try to bring together supply and demand in the agricultural knowledge infrastructure. This thesis is about such new organizational arrangements