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.
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.
Social structure, especially in the form of social networks, affects the adoption of agricultural technologies. In light of an increasing focus on new demand-driven agricultural extension approaches that leverage social networks as an opportunity, too little is known about (a) which network characteristics matter? and (b) how do specific network characteristics matter? This paper investigates the impact of social networks in relation to smallholder dairy production technology adoption in Ethiopia.
Ethiopia has a diverse agro-ecology and sufficient surface and ground water resources, suitable for growing various temperate and tropical fruits. Although various tropical and temperate fruits are grown in the lowland/midland and highland agro-ecologies, the area coverage is very limited. For example, banana export increased from less than 5,000 tons in 1961 to 60,000 tons in 1972, but in 2003 declined to about 1,300 tons worth less than USD 350,000.
Graduate programs in agriculture and allied disciplines in Ethiopia are expected to make concrete contribution to market-oriented development of smallholder agriculture. This, among others, calls for realignment and engagement of the programs with smallholder farmers and, value chain, R&D and policy actors. No panacea exists, however, as to how to ensure effective linkages, and thereby responsiveness. Lessons from initiatives on the ground in the country and beyond is thus crucial to inform the development of appropriate policy and innovative strategy.
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.
Le renforcement des capacités à innover apparaît comme un nouveau moyen pour assurer un développement durable dans les pays du Sud. Dans le secteur de l'agriculture, l'innovation est essentiellement collective, ce qui appelle les chercheurs à sortir de leur rôle de producteurs de connaissances pour s'engager auprès des acteurs en situation d'innovation. Si une diversité de pratiques de recherche engagée sont apparues, il n'existe cependant pas aujourd'hui une vision claire des différentes façons dont les chercheurs contribuent à l'innovation.