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.
Based on international literature, preliminary experiences in a three-country West African research programme, and on the disappointing impact of agricultural research on African farm innovation, the current paper argues that institutional change demands rethinking the pathways to innovation so as to acknowledge the role of rules, distribution of power and wealth, interaction and positions. The time is opportune: climate change, food insecurity, high food prices and concomitant riots are turning national food production into a political issue also for African leaders.
This short note discusses the innovation platforms in their potential functions and benefits, with references to southern Africa countries. The initial consideration is that, although appropriate technologies and farming strategies to increase production in small-scale crop-livestock systems exist, farmers often have little or no incentive to invest in these.
In order to facilitate improved returns to research and development in African agriculture, the innovation systems approach which engenders the involvement of multiple stakeholders in its innovation pathway, has been proposed. Despite the potential of this approach, the understanding of its implementation and particularly of the process of setting up its multi-stakeholder platform is still largely lacking. Yet, this platform is critical to the success and sustainability of the operations of the platform.
The Conceptual Background provides an in-depth analysis of the conceptual underpinnings and principles of the TAP Common Framework. It is also available in French and Spanish.
African agriculture is currently at a crossroads, at which persistent food shortages are compounded by threats from climate change. But, as this book argues, Africa can feed itself in a generation and help contribute to global food security. To achieve this Africa has to define agriculture as a force in economic growth by: advancing scientific and technological research; investing in infrastructure; fostering higher technical training; and creating regional markets.
The European Innovation Partnership for agricultural productivity and sustainability (EIP-AGRI), which can be perceived as a platform based on interaction among farmers, researchers, and advisors/extensionists, represents a useful tool for a better understanding of applied innovation processes.
This report describes the 2012 NAIS Assessment was piloted in 4 countries: Botswana, Ghana, Kenya and Zambia. Data were collected through a survey questionnaire, open-ended interview questions, and data mining of secondary sources. A team led by a national coordinator took charge of data collection from various partner organizations in each country.