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.
Inclusion is a key issue for Agricultural Research for Development (ARD). Development goals in and of themselves call for better livelihoods and opportunities for the less privileged actors working in agriculture. They also call for greater equity and balanced representation of the population at an institutional level. This brief focuses on how ARD processes can more sensitively address gender relations and youth issues. Women and young people have distinctive needs and interests which can be less visible within broader “Producer Organizations”, for example.
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.
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.