Research on next generation agricultural systems models shows that the most important current limitation is data, both for on-farm decision support and for research investment and policy decision making. One of the greatest data challenges is to obtain reliable data on farm management decision making, both for current conditions and under scenarios of changed bio-physical and socio-economic conditions.
The impact of the COVID-19 pandemic will vary for different groups of rural population, with the highest impact expected to be on farmers and other vulnerable groups, especially women and youth. Targeted support is feasible only by activating a network of actors or organizations within agricultural innovation systems (AIS) and promoting customized technologies and practices suitable for location specific contexts.
This case study demonstrates how change agents can utilize networked learning communities (NLCs) with shared leadership to provide the structural supports for learning and influence the implementation of innovations within a social system. Our focus is the Department of Defense Education Activity (DoDEA), a large school system operating 164 accredited schools domestically and internationally.
This paper provides a chronology and overview of events and policy initiatives aimed at addressing irrigation sustainability issues in the San Joaquin River Basin (SJRB) of California. Although the SJRB was selected in this case study, many of the same resource management issues are being played out in arid, agricultural regions around the world.
The Worldwide Extension Study provides empirical data on the human and financial resources of agricultural extension and advisory systems worldwide, as well as other important information on: the primary extension service providers in each country (e.g.: public, private and/or non-governmental); which types and groups of farmers are the primary target groups (e.g.: large, medium, and/or small-scale farmers, including rural women) for each extension organization; how each organization’s resources are allocated to key extension and advisory service functions; each organization’s information a
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.
This Economic and Sector Work paper, “Enhancing Agricultural Innovation: How to Go Beyond the Strengthening of Research Systems,” was initiated as a result of the international workshop, “Development of Research Systems to Support the Changing Agricultural Sector,” organized by the Agriculture and Rural Development Department of the World Bank in June 2004 in Washington, DC.
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 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 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.