In 2012, the Food Systems Innovation (FSI) initiative was set up between four Australian organisations working to improve the impact of agriculture and food security programs in the Indo-Pacific region. The author was assigned to facilitate a stream of work in the partnership, working as an internal partnership broker in one of the four partner organisations, the Commonwealth Science and Industrial Research Organisation (CSIRO).
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.
Farmers’ views on research and extension services (RES) included in the Agricultural Knowledge and Innovation System are rarely investigated. This study analyses the relationship between key factors of innovation behaviour (market orientation, learning orientation, and innovation attitude) and the use of RES through structural equation modelling, focusing on small-scale agricultural holdings. Market orientation and learning orientation appear to be positively correlated, confirming that synergies between both factors provide a background for innovativeness.
Innovation platforms (IPs) form a popular vehicle in agricultural research for development (AR4D) to facilitate stakeholder interaction, agenda setting, and collective action toward sustainable agricultural development. In this article, the authors analyze multilevel stakeholder engagement in fulfilling seven key innovation system functions. Data are gathered from experiences with interlinked community and (sub)national IPs established under a global AR4D program aimed at stimulating sustainable agricultural development in Central Africa.
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.
The DURAS Project, which ran from 2004 to 2008, established a truly pioneering means of integrating innovation from science with that from communities themselves. At the heart of DURAS has been its innovative competitive grants system. Following an original selection and evaluation process that placed a premium on multi-stakeholder partnerships, 12 projects were funded in Africa and Asia over a period of three years, each involving an array of disciplines and partners.
In recent years, the notion of doing research with multiple partners has become an important concept in international development. This reflects the belief that partnerships are important for solving complex problems, reducing costs and competition for the same resources, increasing efficiency and ownership, and ensuring greater accountability.
There is an ongoing debate on what constitutes sustainable intensification of agriculture (SIA). In this paper, we propose that a paradigm for sustainable intensification can be defined and translated into an operational framework for agricultural development. We argue that this paradigm must now be defined—at all scales—in the context of rapidly rising global environmental changes in the Anthropocene, while focusing on eradicating poverty and hunger and contributing to human wellbeing.
This paper describes the learning selection approach to enabling innovation that capitalizes on the complexity of social systems at different scales of analysis. The first part of the paper describes the approach and how it can be used to guide the early stages of setting up a “grassroots” innovation process. The second part of the paper looks at how the learn selection model can be used “top-down” to guide research investments to trigger large-scale systemic change.