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

This presentation sets out a future research agenda for research on agricultural extension and advisory services, under influence of sustainability transitions and disruptive technologies such as digital agriculture technology, and synthetic foods. For a recording of the presentation see: https://www.youtube.com/watch?v=03V7zSD63pw

This research aims to add to the literature new insights about the interaction processes, which are implemented in different interactive extension approaches, by analysing how farmers attending different extension events shape a network of indirect interactions

The horticultural sector in Jordan is undergoing a crisis, due to a decline in export. Innovation can improve the performance of the sector. To this end, the government of Jordan should pursue an innovation policy with the Agricultural Knowledge and Innovation System (AKIS) as object of the governance. Based on a review of the AKIS in Jordan it is proposed that a Living Lab setting be used to gain experience with the management of a number of innovation projects and capacity building projects.

In response to population growth, rising income and urbanisation, the demand for livestock products, such as milk, meat and eggs is growing in Ethiopia. The growing demand for milk products offers opportunities for smallholders to realize better livelihoods. Whereas the growing demand for milk products in Ethiopia is widely recognised, the dairy sector has not been able to produce adequate milk to satisfy this demand, mainly due to low productivity of dairy animals.

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.