This paper asks: What have been the impacts of farmer- or community-led (informal) processes of research and development in agriculture and natural resource management in terms of food security, ecological sustainability, economic empowerment, gender relations, local capacity to innovate and influence on formal agricultural research and development institutions?
El Programa de Innovación Agropecuaria Local (PIAL) posee una amplia diseminación de acciones en cientos de fincas, buscando alternativas locales que le den solución a las necesidades de prácticas sostenibles con carácter agroecológico, para ello se hace necesario demostrar la efectividad económica del desarrollo a nivel de finca. Este artículo desarrolo un análisis de costo-beneficio que es una herramienta de toma de decisiones para desarrollar sistemáticamente información útil acerca de los efectos deseables e indispensables.
A foresight hub within the Directorate General Research and Innovation (DG RTD) of the European Commission will support the decision-making procedures of the EU Horizon 2020 research, technology, and innovation programme. Foresight in particular is seen as an instrument defining research priorities for European society’s needs in support of the ‘grand societal challenges’.
This paper explores innovation processes and institutional change within research for development (R4D). It draws on learning by Australian participants associated with the implementation of a three-year Australian-funded food security R4D programme in Africa, and in particular a sub-component designed to support and elicit this learning. The authors critically examine this attempt at institutional innovation via the creation of a 'learning project' (LP) in a larger programme.
Various authors have identified the potential relevance of innovation system approaches for inclusive innovation, that is, the means by which new goods and services are developed for and by the poor. However, it is still a question how best to operationalize this. Innovation platforms (IPs) represent an example of putting an inclusive innovation system approach into practice by bringing different types of stakeholders together to address issues of mutual concern and interest with a specific focus on the marginalized poor.
One option for practically applying innovation systems thinking involves the establishment of innovation platforms (IPs). Such platforms are designed to bring together a variety of different stakeholders to exchange knowledge and resources and take action to solve common problems. Yet relatively little is known about how IPs operate in practice, particularly how power dynamics influence platform processes.This paper focuses on a research-for-development project in the Ethiopian highlands which established three IPs for improved natural resource management.
Innovation platforms are groups of individuals or stakeholder representatives with different backgrounds and interests. They come together to diagnose problems, identify opportunities, and find ways to achieve their goals. When innovation platforms are set up by development projects, their processes are usually facilitated by the support organization.
Social learning in multi-actor innovation networks is increasingly considered an important precondition for addressing sustainability in regional development contexts. Social learning is seen as a means for enabling stakeholders to take advantage of the diversity in perspectives, interests and values for generating more sustainable practices and policies. Although more and more research is done on the meaning and manifestations of social learning, particularly in the context of natural resource management, little is known about the social dynamics in the process of social learning.
Multi-stakeholder partnerships network which is typified by the FARA-led Integrated Agriculture Research for Development (IAR4D) of the SSA-Challenge Program is an innovation platform (IP) composed of stakeholders bound together by their individual interests in a shared commodity or outcome. The result from such innovation platforms is largely influenced by the strength of the network. In this paper, similarities within and across platforms are assessed using the simple matching procedure. Results indicate consistency in conduct of Innovation Platform activities.