This brief provides an overview of the monitoring and evaluation (M&E) system of the CGIAR Research Program on Aquatic Agricultural Systems (AAS) and describes how the M&E system is designed to support the program to achieve its goals. The AAS program aims to improve the lives of 22 million people dependent upon aquatic agricultural systems by 2024 through research in development.
This paper (Part I) present a case study of work conducted by the International Centre for Tropical Agriculture (CIAT) to adapt network mapping techniques to a rural and developing country context. It reports on work in Colombia to develop a prototype network diagnosis tool for use by service providers who work to strengthen small rural groups. It is complemented by a further paper in this issue by Louise Clark (Part II) which presents work to develop a network diagnosis tool for stakeholders involved in agricultural supply chains in Bolivia.
The articles in the dossier present different approaches to supporting farmer-led research, ranging from partnerships between small-scale farmer organisations and research institutions, to alliances of farmer groups, nongovernmental organisations and researchers, to constellations in which farmer organisations directly contract researchers. The articles highlight some innovations that have emerged from these processes and – more important still – show new ways of organising research so that it strengthens innovative capacities at grassroots level.
Participatory Impact Pathways Analysis (PIPA) is a practical approach to planning, monitoring and evaluation, developed for use with complex research-for-development projects. PIPA begins with a participatory workshop where stakeholders make explicit their assumptions about how their project will make an impact, and produce an ‘Outcomes logic model’ and an ‘Impact logic model’. These two logic models provide an ex-ante framework of predictions of impact that can also be used in priority setting and ex-post impact assessment.
This paper asks: What have been the impacts of farmer- or community-led (informal) processes of research and development in agriculture and natural resource management in terms of food security, ecological sustainability, economic empowerment, gender relations, local capacity to innovate and influence on formal agricultural research and development institutions?
Local innovation refers to the dynamics of Indigenous Knowledge (IK) - the knowledge that grows within a social group, incorporating learning from own experience over generations but also knowledge gained from other sources and fully internalized within local ways of thinking and doing. Local innovation is the process through which individuals or groups discover or develop new and better ways of managing resources - building on and expanding the boundaries of their IK.
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