Early applications of the innovation systems framework to developing-country agriculture suggest opportunities for more intensive and extensive analysis. There is ample scope for empirical studies to make greater use of the theoretical content available in the literature, and to employ more diverse methodologies, both qualitative and quantitative. Further, there is room to improve the relevance of empirical studies to the analysis of public policies that support science, technology, and innovation, as well as to policies that promote poverty reduction and economic growth.
This paper explores the application of the innovation systems framework to the design and construction of national agricultural innovation indicators. Optimally, these indicators could be used to gauge and benchmark national performance in developing more responsive, dynamic, and innovative agricultural sectors in developing countries.
Recent discourse in the field of participatory agricultural research has focused on how to blend vari- ous forms and intensities of stakeholder participation with quality agricultural science, moving beyond the simple ‘‘farmer-first’’ ideology of the 1980s and early 1990s.
Given the diversity and context-specificity of innovation systems approaches, in March 2007 the World Bank organized a workshop in which about 80 experts (representing donor agencies, development and related agencies, academia, and the World Bank) took stock of recent experiences with innovation systems in agriculture and reconsidered strategies for their future development. This paper summarizes the workshop findings and uses them to develop and discuss key issues in applying the innovation systems concept. The workshop’s recommendations, including next steps for the wider
Innovation is an important challenge for European agriculture, but little is known about the performance of the Agricultural Knowledge and Innovation Systems (AKIS). This report contributes towards this knowledge, as it reports on experiences from different countries and regions. The systems are very different between countries, regions and sectors.
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.
These proceedings include all the papers presented during the AISA workshop either as oral papers or as posters. It also includes the edited text resulting from the Living Keynote process, an innovation in itself.
The AISA workshop was held on 29-31 May 2013 in Nairobi, Kenya, as part of an international week devoted to Agricultural innovation in Africa. The AISA workshop focused on active social learning among participants, developed a collective "living keynote" about the following issues:
This background note for the development of an AIS Investment Sourcebook provides a menu of tools and guidance to invest in agricultural innovation in different contexts. The content is drawn on tested good practice examples and innovative approaches with emphasis on lessons learned, benefits and impacts, implementation issues, and replicability
The aim of this report is to provide a detailed review of documented social learning processes for climate changeand natural resource managementas described in peer-reviewed literature. Particular focus is on identifying (1) lessons and principles, (2) tools and approaches, (3) evaluation of social learning, as well as (4) concrete examples of impacts that social learning has contributed to.
The paper aims to identify barriers to the development of Learning and Innovation Networks for sustainable agriculture (LINSA). In such networks, social learning processes take place, and knowledge about sustainable agriculture is co-produced by connecting between the different frames and social worlds of the stakeholders with the help of boundary objects. Studying such processes at the interface between different knowledge spheres of research, policy and practice requires a specific methodology.