The DURAS Project, which ran from 2004 to 2008, established a truly pioneering means of integrating innovation from science with that from communities themselves. At the heart of DURAS has been its innovative competitive grants system. Following an original selection and evaluation process that placed a premium on multi-stakeholder partnerships, 12 projects were funded in Africa and Asia over a period of three years, each involving an array of disciplines and partners.
Communities supported by World Bank rural development projects often cite support for the development of income-generating activities (IGAs) as a critical need. This note identifies some of the core problems encountered by Bank task teams that attempt to respond to this need, outlines the issues involved, and offers suggestions on some of the points that should be kept in mind when designing grant programs for this purpose.
In recent years, the notion of doing research with multiple partners has become an important concept in international development. This reflects the belief that partnerships are important for solving complex problems, reducing costs and competition for the same resources, increasing efficiency and ownership, and ensuring greater accountability.
In order for agricultural development to fulfill its potential role as a source of growth and reducer of poverty, it must be constantly renewed through knowledge and innovation. Getting resources into the hands of innovators and providing incentives for producers, agricultural service providers, and entrepreneurs to collaborate in developing and applying new methods and technologies is a priority among institutions concerned with agricultural knowledge.
Poverty in Pakistan is overwhelmingly rural. Some two-thirds of Pakistan's population, and over 60 percent of the country's poor, live in rural areas. In 2005, average per capita expenditures in rural areas were 31 percent lower than in urban areas. This inequality between urban and rural areas is re-enforced by inequality within and between rural areas.
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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This paper examines how the different institutional innovations arising from various permutations of linkages and interactions of ARD organizations (national, international advanced agricultural research centres and universities) influenced the different outcomes in addressing identified ARD problems.
How effective are multi-stakeholder scenarios-building processes to bring diverse actors together and create a policy-making tool to support sustainable development and promote food security in the developing world under climate change? The effectiveness of a participatory scenario development process highlights the importance of “boundary work” that links actors and organizations involved in generating knowledge on the one hand, and practitioners and policymakers who take actions based on that knowledge on the other.
Efficient water allocation for sustainable irrigated agriculture has become a growing concern, especially in transboundary river basins where the competition between upstream and downstream countries is substantially increasing. In this paper, the Diyala basin, one of the most water-stressed basins shared between Iraq and Iran, was used as an example case study. The water-stress situation is projected to get worse in the foreseeable future, as climate change adversely altered runoff at a time when demand for water is witnessing remarkable growth.
This paper (Part II) presents work to develop a network diagnosis tool for stakeholders involved in agricultural supply chains in Bolivia. It is complemented by a further paper (Part I) by Boru Douthwaite and colleagues in the same issue of this journal which presents a case study of work conducted by the International Centre for Tropical Agriculture (CIAT). The prototype methods used in both Parts I and II are based on social network analysis (SNA) methodology.