This project report from Wageningen UR (as a contribution to the CGIAR Humid Tropics research program) examines critical issues for reflection when designing and implementing research for development in innovation platforms’. The current document therefore aims to increase awareness about the complexity of research in innovation. The underlying idea is that innovation platforms can facilitate institutional changes and support system innovations through increased interaction, negotiation and learning between stakeholders, including (new) roles of research(ers).  

Innovation platforms can be complex and challenging so effective monitoring is critical to ensure that they function effectively and achieve their intended purposes. A monitoring system is a collection of methods and tools to track and measure innovation activities, processes among partners, and the results of these processes. This brief describes what a monitoring system does, who is involved, how it works, and what to do with the findings. It is available in Chinese, English, Hindi, Thai and Vietnamese.

One of the most important things that innovation platforms do is to build the capacity of their members to innovate. Some key elements of innovation capacity include: self-organization, learning new skills, changing mindsets, valuing others’ roles in innovation, having a holistic view, being able to adapt to changing situations, creating new ideas, recognizing opportunities, being proactive, using indigenous ideas, and looking to the future. This brief uses the analogy of a traditional African cooking pot to explain how innovation capacity is developed within an innovation platform.

In this paper its argued that when flexibly applied and adapted to capture dynamics typical in systems innovation projects, the Log Frame Approach (LFA) ( and logical frameworks have considerable utility to support evaluation for both learning and accountability, and for identifying and addressing institutional logics, which leads to system innovation.

Primary Innovation is a five year collaborative initiative demonstrating and evaluating co-innovation, a systemic approach to innovation addressing complex problems, in five ‘innovation projects’ (active case studies) in different agricultural industries. In defining the elements of co-innovation, Primary Innovation has emphasised nine principles which guide activity in the innovation projects.

This paper describes a process for stimulating this engagement to develop a shared understanding of systemic problems, challenge prevalent institutional logics, and identify individual and collective actions that change agents might undertake to stimulate system innovation. To achieve this the process included (i) multiple actors from the agricultural innovation systems, (ii) steps to prompt reflexivity to challenge underlying institutional logics, (iii) an iterative process of practical experimentation to challenge current practices, and (iv) actions to encourage generative collaboration.

This study identifies systemic problems in the New Zealand Agricultural Innovation System (AIS) that affect the ability of participants in the agricultural sectors to co-develop technologies. We integrate structural and functional streams of innovation system enquiry, gathering data through 30 semi-structured interviews with individuals in Government, industry and research. Interviews explored perceptions of the influence of actors, interactions, institutions, infrastructure, and market structure on the effectiveness of AIS functions.

In this article it is analysed the results of applying a co-innovation approach to five research projects in the New Zealand primary sector. The projects varied in depth and breadth of stakeholder engagement, availability of ready-made solutions, and prevalence of interests and conflicts. The projects show how and why co-innovation approaches in some cases contributed to a shared understanding of complex problems. Our results confirm the context-specificity of co-innovation practices

This paper details the analytical framework used for developing a nested understanding of systemic innovation capacity in an AIS. The paper then introduces the two case studies, along with the data and methods of analysis, followed by a presentation of the results as timelines of configurations of capabilities at different levels of the AIS.

Digital agriculture is likely to transform productive processes both on- and off- farm, as well as the broader social and institutional context using digital technologies. It is largely unknown how agricultural knowledge providing organisations, such as advisors and science organisations, understand and respond to digital agriculture. The concept of ‘organisational identity’ is used to describe both initial understandings of, and emerging responses, to digital agriculture, which together show how organisations ‘digi-grasp’, i.e.