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.
Empirical studies on agricultural technology adoption generally divide a population into adopters and nonadopters, and analyse the reasons for adoption or nonadoption at a point in time. In reality, technology adoption is not a one-off static decision, rather it involves a dynamic process in which information gathering, learning and experience play pivotal roles, particularly in the early stage of adoption. A conceptual framework for an adoption pathway is suggested in which farmers move from learning to adoption, to continuous or discontinuous use over time.
The purpose of this study was to assess the perceptions of agricultural technical school (ATS) instructors in Egypt related to implementing experiential learning in the form of internships. In July 2007, 90 ATS instructors attended workshops focused on conducting internship experiences. Self–perceived competency of ATS instructors to implement internships was assessed immediately following inservice training. Approximately a year later (June 2008), ATS instructors’ self–perceived importance and application of internship competencies were assessed. A discrepancy score was also calculated.
Automation of essential processes in agriculture is becoming widespread, especially when fast action is required. However, some processes that could greatly benefit from some degree of automation have such difficult characteristics, that even small improvements pose a great challenge. This is the case of fish disease diagnosis, a problem of great economic, social and ecological interest. Difficult problems like this often require a interdisciplinary approach to be tackled properly, as multifaceted issues can greatly benefit from the inclusion of different perspectives.