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.
The study report is based on case studies from Bangladesh (Sulaiman, 2010), Bolivia (Pafumi and Ulloa, 2010), DR Congo (Mbaye, 2010) and Ghana (Adjei-Nsiah and Dormon, 2010) which were carried out with the purpose of assessing needs and gaps with regard to the provision of innovation support services for climate change adaptation. It took the form of desk-studies complemented with key informant interviews.
Urban agriculture contributes to local economic development, poverty alleviation, the social inclusion of the urban poor and women, as well as to the greening of the city and the productive reuse of urban wastes. Urban agriculture encompasses a wide variety of production systems in both urban as well as peri-urban areas. This study examines the contribution of urban agriculture to livelihoods, food security, health, and the urban environment through an assessment of existing urban agriculture activities among poor households in four selected cities.
This report elaborates on how to use the agricultural knowledge and innovation systems framework to promote innovation at different levels with special focus on European issues related to the implementation of Horizon 2020. It is of value as a conceptual and methodological reference regarding the Agricultural Knowledge and Innovation Systems (AKIS).
L’agriculture familiale est le modèle d’exploitation le plus répandu en Europe. À ce titre, elle assure depuis des siècles la prospérité du secteur. L’ambitieux cadre stratégique mis en place par l’Union européenne a été conçu pour tenir compte des différents modèles d’agriculture qui coexistent sur son territoire, en ce compris les divers types d’agriculture familiale.
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.
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.
This paper examines different practical methods for stakeholders to analyse power dynamics in multi-stakeholders processes (MSPs), taking into account the ambiguous and uncertain nature of complex adaptive systems. It reflects on an action learning programme which focused on 12 cases in Africa and Asia put forward by 6 Dutch development non-governmental organizations (NGOs).
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.
This report describes the 2012 NAIS Assessment was piloted in 4 countries: Botswana, Ghana, Kenya and Zambia. Data were collected through a survey questionnaire, open-ended interview questions, and data mining of secondary sources. A team led by a national coordinator took charge of data collection from various partner organizations in each country.