Malgré les efforts déployés ces dernières années pour améliorer la situation de l’agriculture en Afrique subsaharienne, peu de changements ont été observés. Cet insuccès est dû, en partie, au fait que ces efforts ont été consentis par diverses entités de petite taille, aux capacités de financement à court terme et sans l’expertise nécessaire pour diffuser les résultats de leurs travaux de recherche. De plus, ces initiatives ont aussi pâti de la déconnexion entre la recherche et les utilisateurs finaux.
The nature of the issues around which Agricultural Research for Development (ARD) partnerships are formed requires a different way of conceptualizing and thinking to that commonly found in many agricultural professionals. This brief clarifies the components of a system of interest to an ARD partnership.
Networks and organizations need to find ways to be more effective in pursuing their objectives and thus seek to “learn” to be able to respond, innovate and adapt to complex, changing social and environmental conditions, thus bringing about social change. An essential capacity for ARD (Agricultural Research for Development) partnerships is therefore the ability to reflect and learn. Learning is not simply about increasing knowledge and skills or changing attitudes; it is about making sense of complexity to act more effectively.
This brief illustrates the different forms of knowledge, and the ways to create and manage it.
The capacity scoring questionnaire is an instrument that can be used when assessing the systems capacities of innovation partnerships or organizations in order to identify strengths and weaknesses and monitor change over time. It thus supports the design and implementation of successful capacity development interventions for agricultural innovation. This questionnaire has been developed in two versions (Version 1 and Version 2) and has been piloted in several countries in the context of the Capacity Development for Agricultural Innovation Systems (CDAIS).
The capacity scoring questionnaire is an instrument that can be used when assessing the systems capacities of innovation partnerships or organizations in order to identify strengths and weaknesses and monitor change over time. It thus supports the design and implementation of successful capacity development interventions for agricultural innovation. This questionnaire has been developed in two versions (Version 1 and Version 2) and has been piloted in several countries in the context of the Capacity Development for Agricultural Innovation Systems (CDAIS).
The Excel workbook contains some preconfigured spreadsheets that can be used for entering data collected through the capacity scoring questionnaire (Version 1 and Version 2), which has been developed in the context of the the CDAIS project, and to perform some basic analysis as well as visualize the data.
In an effort to raise incomes and increase resilience of smallholder farmers and their families in Feed the Future1 (FTF) countries, the United States Agency for International Development (USAID) funded the Developing Local Extension Capacity (DLEC) project. This project is led by Digital Green in partnership with the International Food Policy Research Institute (IFPRI), CARE International (CARE) and multiple resource partners.
Managers and policy makers have struggled to develop effective monitoring systems to track the evolution of research organizations. This paper presents the first components of a novel monitoring system for monitoring such organizations. These components can be used to generate detailed static pictures of the actual activities and partnerships of a large research program or organization, in other words, what the organization is actually doing, with whom, where, how and for what purpose.
These recommendations are a compilation of 2 regional studies at sub-Saharan Africa level which focused on research and technology transfer in the field of rainwater harvesting irrigatio nmanagement on one hand (section 3), and effective policy recommendations on the use of rainwater for off-season small-scale irrigation on the other (section 4). The regional studies upon which this transnational study is based come from the analysis of national studies in Ethiopia, Kenya, Mozambique and Zimbabwe.