Wthin the context of ARD, capacity strengthening is seen as a process of continual development, as opposed to one-off training. It enhances interaction, builds trust and creates synergy between research institutions and public and private sector actors, smallholder farmers and development organizations. Strengthening the capacities of these different actors for collaboration enables them to address a whole range of activities, investments and policies, and take advantage of opportunities to make change happen.
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.
This evaluation report discusses the findings, conclusions and recommendations on the project “Strengthening Community Resilience to Change: Combining Local Innovative Capacity with Scientific Research (CLIC-SR)” under the umbrella of the network Promoting Local Innovation in ecologically oriented agriculture and NRM (PROLINNOVA). This project was implemented in four Eastern African countries, namely Ethiopia, Kenya, Tanzania and Uganda.
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.
This paper explores the use of actor-oriented approaches in natural resource-based development. It begins by reviewing the need to bring an analysis of actor linkages, coalitions and information flows higher on the agenda in planning, implementation, monitoring and evaluation. Various tools which could assist in doing this are introduced and their use is illustrated in case studies of natural resource-based research and development (R&D) projects in Nepal and Bangladesh.
This paper contributes to the ongoing discussion in the scientific literature on the advantages and disadvantages of privatization of extension and advisory services and the shift from thinking in terms of the traditional Agricultural Knowledge System towards a broader Agricultural Innovation System.
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.
Livelihoods, food security, and development processes in Sub-Saharan Africa are highly dependent on land management practices to generate natural ecosystem goods and services. Out of a total population of about 717 million people, almost 60 percent depend for their livelihood on agriculture, hunting, fishing, or forestry. However, unsustainable land management already is leading to large-scale land degradation trends, which pose a threat to food security and poverty alleviation in Sub-Saharan Africa. Climate change threatens to exacerbate and add to the existing vulnerabilities.
Comment concilier un développement agricole durable avec la lutte contre le changement climatique et la préservation de la biodiversité ? Pour relever un tel défi, les décideurs politiques, techniques et socio-économiques ont désormais accès à des informations environnementales précises et précieuses. Il s’agit notamment des images satellitaires et des données environnementales produites à partir de ces images.
Le recueil crée un cadre qui permet de standardiser les
méthodes de sélection des indicateurs et propose une liste d’indicateurs de base
pour assurer le suivi et l’évaluation des activités du secteur de l’agriculture et
du développement rural (ADR). Sa finalité est d’améliorer la qualité du suivi et
de l’évaluation des programmes d’agriculture et de développement rural aux
niveaux national et mondial.
Le S&E est intrinsèquement difficile à réaliser et exige un niveau de capacité