The paper takes a critical look at two key interventions identified to deliver the PAEPARD capacity strengthening strategy. Firstly, the training of a pool of agricultural innovation facilitators (AIF) to broker relations between relevant stakeholders for the consolidation of effective consortia. PAEPARD envisaged the role of AIF as to support both the face-to-face and virtual (via skype, email or social media) engagement of partners in capacity strengthening processes.
Ce document analyse de façon critique deux interventions majeures identifiées pour mettre en œuvre la stratégie de renforcement des capacités de PAEPARD. La première intervention est la formation d’un vivier de facilitateurs de l’innovation agricole (FIA) pour assurer une médiation entre les acteurs concernés et, ainsi, consolider des consortiums efficaces. PAEPARD prévoyait que les FIA encouragent l’engagement virtuel (par l’intermédiaire de Skype, d’e-mails ou des réseaux sociaux) et en personne des partenaires dans des processus de renforcement des capacités.
Despite efforts over recent years to improve the status of agriculture in sub-Saharan Africa, little change has been noted, due partially to the fact that efforts have come from individual entities, which had short-term funding or lacked the necessary expertise to scale up research outputs. Disconnect between researchers and end-users has further hindered the success of such efforts.
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.
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.
Women often have less access to agricultural information than men, constraining their participation in decision-making on crops, technologies, and practices. In the design of agricultural extension programs, women may be viewed as insignificant actors in agricultural production. Moreover, even if their role is recognized, valuable information on production does not flow freely within the household from men to women.
Agricultural policies affect almost everyone in the world, directly or indirectly. Improvements in agricultural policy analysis capacity can therefore significantly benefit society. Based on the full report, this brief summarizes lessons learned from the Food Security Policy Innovation Lab’s capacity strengthening efforts over the 2013-2018 period and from related capacity development initiatives conducted over the last four decades by the partner institutions in Africa and Asia.
Agrifood systems are powerful levers for improving livelihoods. They must also address an array of systemic challenges, including satisfying growing global food demand, improving diets, limiting greenhouse gas emissions, adapting to a warming climate, and sustaining the environment. Technology and innovation play a central role in meeting these challenges. This brief offers two policy recommendations to support the contribution of innovation. First, G20 countries should increase political and financial support to agrifood systems research in developing countries.
Science and technology (S&T) are major contributors to food security, poverty reduction, and economic growth, as has been proven in Asia since the early-1970s through the Green Revolution in agriculture. Continuing to secure such gains, however, is becoming an increasingly complex undertaking. More than ever, quantitative data are vital for measuring, monitoring, and benchmarking the performance of agricultural S&T systems, including their inputs and outcomes.