Networks and organizations need to find ways to be more effective in pursuing their objectives and thus seek to “learn” to be able to respond, innovate and adapt to complex, changing social and environmental conditions, thus bringing about social change. An essential capacity for ARD (Agricultural Research for Development) partnerships is therefore the ability to reflect and learn. Learning is not simply about increasing knowledge and skills or changing attitudes; it is about making sense of complexity to act more effectively.

This brief illustrates the different forms of knowledge, and the ways to create and manage it. 

The CDAIS ‘marketplace’ to promote agricultural innovations in Burkina Faso took place on July 6th 2017 in Ouagadougou. It was a rich event involving more than 80 people who are working directly with, or interested in working with, different partnerships. The marketplace allowed stakeholders in the six selected niches to get to know and develop relationships with suppliers of agricultural support services. It also provided an opportunity for service suppliers and other participants to show their interests in accompanying the niches on their respective journeys…

This manual was produced as a resource for the National Innovation Facilitators (NIFs) across countries of the Capacity Development for Agricultural Innovation Systems Project (CDAIS). The objective of this manual is to guide the activities organization level as well as coach the national innovation facilitators. It will help them increasing their understanding of the different stages of the coaching process. This guide provides information on the general methodology of engaging, supporting and coaching actors of key national organizations to have the capacities to innovate.

According to the literature on regime transition, niches are sources of innovation that may lead to the transformation of the dominant regime, if processes at other level of the system – the landscape and the mainstream regime - are supportive. A focus on actors involved in the transition process and the analysis of their specific role in knowledge networks can help assessing the robustness of a specific niche and its growth potential. Knowledge systems, and in particular the dynamics of local and expert knowledge, have in fact a key role in innovation models.

Increasing attention is being given to evaluating the impact of advisory services in terms of their effectiveness in providing farmers with knowledge and networks for innovation as well as understanding the factors that influence this effectiveness (Prager et al, 2017). The demand and uptake of advisory services is one factor and Klerkx et al (2017) comment on the variation in farmers’ demand and the influences of variables such as farm size, asset status and education as well as stability or turbulence in the regulatory environment.

The challenges faced by agricultural systems call for an advance in risk management (RM) assessments. This research identifies and discusses potential improvements to RM across 11 European Union (EU) farming systems (FS). The paper proposes a comprehensive, participatory approach that accounts for multi-stakeholder perspectives relying on 11 focus groups for brainstorming and gathering suggestions to improve RM.