Invasive species such as Ambrosia (an annual weed) pose a biosecurity risk whose management depends on the knowledge, attitudes and practices of many stakeholders. It can therefore be considered a complex policy and risk governance problem. Complex policy problems are characterised by high uncertainty, multiple dimensions, interactions across different spatial and policy levels, and the involvement of a multitude of actors and organisations. This paper provides a conceptual framework for analysing the multi-level and multi-actor dimensions of Ambrosia management.
The drylands of the Global South are facing challenges from human population growth, unsustainable land-management practices, and climate change. Such problems are complex and can no longer be adequately addressed using traditional, top-down means. Rather, increased reliance on public participation is needed to better identify key research questions and interventions that promote positive change. Major actors in these approaches would include communities, applied researchers, outreach agents, policy makers, and planners working in tandem.
Research-based evidence on the adoption of climate-smart agricultural practices is vital to their effective uptake, continued use and wider diffusion. In addition, an enabling policy environment at the national and regional levels is necessary for this evidence to be used effectively. This chapter analyzes a 4-year period of continuous policy engagement in East Africa in an attempt to understand the role of multi-stakeholder platforms (MSPs) in facilitating an enabling policy environment for climate change adaptation and mitigation.
This paper draws from interviews with (1) US farmers who have adopted automated systems; (2) individuals employed by North American firms that engineer, manufacture, and/or repair these technologies; and (3) US farm laborers (immigrant and domestic) and representatives from farm labor organizations. The argument draws from the literature interrogating the fictional expectations that underlie capitalist reproduction, reading it through a distributed (ontological) lens.
Recent experiences in participatory video-making raise the question of how best to use this medium for enhancing local seed innovation systems. Embedded in a mini-process of participatory action research, two styles of participatory video—scripted and scriptless—were tested and assessed together with farmers and facilitators in Bogra District, Bangladesh.
Adapting through innovation is one way for rural communities to sustain and improve their livelihoods and environments. Since the 1980s research and development organizations have developed participatory approaches to foster rural innovation. This paper develops a model, called the Learning-to-Innovate (LTI) model, of four basic processes linked to decision making and learning which regulate rate and quality of innovation. The processes are: creating awareness of new opportunities; deciding to adopt; adapting and changing practice; and learning and selecting.
This paper takes the viewpoint of a social scientist and looks at agricultural scientists' pathways for science impact. Awareness of these pathways is increasingly becoming part and parcel of the professionalism of the agricultural scientist, now that the pressure is on to mobilize smallholders and their productive resources for (global) food security and for reducing persistent rural poverty. Significant new thinking about pathways is emerging and it is useful to present some of this, even if it is not cut-and-dried.
Little is known about effective ways to operationalize agricultural innovation processes. The authors of this article use the MasAgro program in Mexico (which aims to increase maize and wheat productivity, profitability and sustainability), and the experiences of middle level ‘hub managers’, to understand how innovation processes occur in heterogeneous and changing contexts. Their research shows how a program, that initially had a relatively narrow technology focus, evolved towards an innovation system approach.
Poor farmers seldom benefit from new agricultural technologies. In response, research and extension approaches based on agricultural innovation systems are popular. Often agricultural research organisations are the network brokers, facilitating the emergence of the innovation system. Based on an analysis of the Sustainable Modernization of Traditional Agriculture (MasAgro) initiative in Mexico, this viewpoint suggests that such organisations are more often suitable network brokers when the objective is the development and scaling out of a technology by itself.
A complex systems approach to innovation provides rich insights into the drivers, barriers, and key elements for innovation in rural systems. Through a case study of dry direct seeding (DDS) in smallholder systems in Laos, this article reveals a “perfect storm” of challenges and opportunities resulting in rapid adoption. Labour shortage, climate variability, and machinery availability are key factors.