The aim of this report is to provide a detailed review of documented social learning processes for climate changeand natural resource managementas described in peer-reviewed literature. Particular focus is on identifying (1) lessons and principles, (2) tools and approaches, (3) evaluation of social learning, as well as (4) concrete examples of impacts that social learning has contributed to.
This book documents a unique series of 19 case studies where agricultural biotechnologies were used to serve the needs of smallholders in developing countries. They cover different regions, production systems, species and underlying socio-economic conditions in the crop (seven case studies), livestock (seven) and aquaculture/fisheries (five) sectors. Most of the case studies involve a single crop, livestock or fish species and a single biotechnology.
Relying entirely on survey information and personal exchanges with over 70 scientists from within the CGIAR network, this working paper attempts to achieve a better understanding of the scope of social learning related efforts undertaken in CGIAR and main issues of relevance to more current efforts, such as that planned by the CGIAR program on Climate Change Agriculture and Food Security (CCAFS). A wide range of methods was identified, where groups of people learn in order to jointly arrive at solutions to pressing food security problems.
This reports highlights social learning as an essential aspect in dealing with the complexities around climate change and uncertainty in food production. It is not just about adapting to these complexities, it is actually about implementing tranformative changes.
This training-of-trainers manual is designed to train you to be able to deliver a capacity enhancement workshop (CEW) to rural women on climate change and gender. It has been designed by the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) and is appropriate to the South Asian context.
Dans le besoin urgent de lutter contre le changement climatique, une priorité essentielle est de renforcer la capacité de ces groupes et communautés les plus vulnérables, et déjà fortement affectés, à améliorer leur capacité à adapter leurs systèmes de subsistance.
Innovation platforms are groups of individuals or stakeholder representatives with different backgrounds and interests. They come together to diagnose problems, identify opportunities, and find ways to achieve their goals. When innovation platforms are set up by development projects, their processes are usually facilitated by the support organization.
One way to create an innovation system (AIS) is through the formation and utilization of certain innovation configurations known as Multistakeholder Platforms (MSPs) and/or Innovation Platforms (IPs). CGIAR’s Challenge Programs on Water and Food (CPWF) use both MSPs and IPs to bring together a diverse set of relevant stakeholders to address common challenges in river basins globally, and in the Volta River Basin system in West Africa in particular.
This book describes how the Alliance for a Green Revolution in Africa (AGRA) has been trying to improve markets for staple foods in Africa through its Market Access Programme. It describes 13 projects from eight countries (Burkina Faso, Ghana, Kenya, Malawi, Mozambique, Rwanda, Tanzania and Uganda) that the programme has supported. The book does not attempt to describe the cases in detail. Rather, it focuses on particular aspects in order to derive lessons from which the project managers, AGRA and other development organizations can learn.
The present article reviews the results and methodological design of an evaluation at higher education centres in Bolivia, Ghana and India. The ambition of these programmes was to integrate endogenous knowledge and values into education and research programmes. The evaluation provides an example of a mixed methods design that allowed for inclusion and appreciation of perspectives of different stakeholders. An evaluation team has to consider which set of methods is responding to the project context and how the methods complement each other and can be adapted to the case.