Despite the well-known importance of innovation to productivity growth in the agri-food sector, very few studies have attempted to measure farm-level innovation. This article contributes to the literature by developing an agricultural innovation index that goes beyond measuring innovation through adopted technologies. Based on this index, drivers and barriers of innovation are assessed. The findings reveal that innovation efforts differ between farm systems.

This paper critically discusses the modification and application of one particular participatory approach to agricultural systems analysis (Rapid Appraisal of Agricultural Innovation Systems [RAAIS]) to agricultural adaptation in Southeast Kazakhstan. We consider the overall effectiveness of the method as a research tool, practical issues in the implementation of workshops, definition of and selection of participant groups, as well as the questions of participation and empowerment within the workshops themselves.

Stakeholder involvement in research processes is widely seen as essential to enhance the applicability of research. A common conclusion in the extensive body of literature on participatory and transdisciplinary research is the importance of the institutional context for understanding the dynamics and effectiveness of participatory projects.

Increasingly, multi-stakeholder processes have been recognized as being necessary to the development of public policies seeking to promote systemic innovation in response to complex and multidimensional challenges, such as household food security, rural development, and environmental change. Saint Lucia, a small island developing state located in the Caribbean, has been grappling with a wide range of agriculture, food and nutrition security challenges with varying degrees of policy success.

Managers and policy makers have struggled to develop effective monitoring systems to track the evolution of research organizations. This paper presents the first components of a novel monitoring system for monitoring such organizations. These components can be used to generate detailed static pictures of the actual activities and partnerships of a large research program or organization, in other words, what the organization is actually doing, with whom, where, how and for what purpose.

Motivated by donor interest in innovative thinking on food security, the authors conducted an interdisciplinary, triangulation analysis of four divergent conceptual frameworks, each relevant to diagnosing food insecurity in developing countries. They found notable tensions as well as synergistic interactions between agroecology, agricultural innovation systems, social–ecological systems, and political ecology. Cross-framework interactions enhance our understanding of how sectoral and macro-economic development strategies impact on livelihoods, availability, and access.

This paper describes the research path followed by a team of researchers who had investigated the nitrate problem in a case study area, and who became aware of the low impact of their data on the policy debate and on the practices that – as the research team saw it – had given rise to the problem in the first place. They embarked on a series of interactions first with participatory action researchers from the SLIM project (see Fig.

Processes of designing for systemic innovation for sustainable development (SD) through the lens of three long-term case studies are reported. All case studies, which originated from the SLIM (Social Learning for the Integrated Management and Sustainable Use of Water at Catchment Scale) Project, funded within the EU Fifth Framework Program (2001–2004), constitute inquiry pathways that are explored using a critical incident approach.

Innovation platforms (IPs) are a way of organizing multistakeholder interactions, marshalling ideas, people and resources to address challenges and opportunities embedded in complex settings. The approach has its roots in theories of complexity, the concept of innovation systems and practices of participatory action research. IPs have been widely adopted across Africa and beyond in recent years as a “must have” tool in a range of “for development” modes of agricultural research.

African farming systems are highly heterogeneous: between agroecological and socioeconomic environments, in the wide variability in farmers’ resource endowments and in farm management. This means that single solutions (or ‘silver bullets’) for improving farm productivity do not exist. Yet to date few approaches to understand constraints and explore options for change have tackled the bewildering complexity of African farming systems. In this paper we describe the Nutrient Use in Animal and Cropping systems – Efficiencies and Scales (NUANCES) framework.