This paper examines the role of postsecondary agricultural education and training (AET) in sub-Saharan Africa in the context of the region’s agricultural innovation systems. Specifically, the paper looks at how AET in sub-Saharan Africa can contribute to agricultural development by strengthening innovative capacity, or the ability of individuals and organisations to introduce new products and processes that are socially or economically relevant, particularly with respect to smallholder farmers who represent the largest group of agricultural producers in the region.
This paper was presented at the Farmer First Revisited: 20 Years On conference at IDS, University of Sussex, UK, December 2007. Its focus is the challenge of strengthening agricultural innovation systems. The paper prefaces this discussion by reflecting on an apparent paradox. While agricultural innovation has never been better studied and understood, many of our ideas about innovation have failed to fundamentally change the institutional and policy setting of public and private investment intended to promote innovation for development.
Traditional approaches to innovation systems policymaking and governance often focus exclusively on the central provision of services, regulations, fiscal measures, and subsidies.
In order to facilitate Participatory Technology Development (PTD) in African agriculture, extensionists and scientists must collaborate with local innovators to optimise (where necessary) and disseminate their innovations. This literature review proposes a conceptual model for PTD in which technology is developed in the context of an adoption cycle. Building on an innovation-decision approach, the characteristics of innovations that achieve widespread uptake are identified.
The agricultural innovation system can be strengthened by increasing the learning capacity of research and field organisations. Participatory methods were developed to study three dimensions of the capacity of such organisations in Nicaragua to access and analyse information, highly correlated to learning capacity – the individual routines of their professionals, the formal procedures of the organisation and the organisation's use of collaborative projects to strengthen core operations.
This paper investigates Innovation Systems Concepts and Principles starting with an historical perspective. Then it analyzes their application to Integrated Agricultural Research for Development (IAR4D) and makes a comparison between the traditional Research and Development Systems Approaches and the Innovation Systems Approach.
Public–private partnerships that aim at the development of innovations have gained increasing attention from governments, public research and private companies, because they enable partners to draw from complementary resources and profit from synergy and joint learning. This article develops arguments for when partnerships should form and compares them with experiences in real partnership cases in Latin America.
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.
Net-Map is an interview-based mapping tool that helps people understand, visualize, discuss, and improve situations in which many different actors influence outcomes. By creating Influence Network Maps, individuals and groups can clarify their own view of a situation, foster discussion, and develop a strategic approach to their networking activities.
This PROLINNOVA report to the 3rd GFAR Programme-Committee meeting is composed of two parts.
The past 1 entitles ‘ PROLINNOVA genesis and growth’ describes historical background and
PROLINOVA in general while the part 2 entitles ‘2007 accomplishments’ narrates specific
accomplishments of PROLINNOVA during the period January-November 2007 . Further, the annex 1
lists contact addresses.