The frequency of natural disasters, especially storms and floods, has been increasing globally over the last several decades. Developing countries are especially vulnerable to such disasters but are often the least capable of coping with the associated impacts because of their limited adaptive capacity. Despite the increased interest in strengthening institutional capacity, it remains a challenge for many developing countries. Institutional capacity for disaster management and risk reduction can be built through various mechanisms.
This interactive guidebook brings together tools and resources to help practitioners design and implement capacity development activities with an innovation systems approach in mind.
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 paper briefly reviews three conceptual frameworks: namely, the national agricultural research system (NARS), the agricultural knowledge and information system (AKIS) and the agricultural innovation system (AIS) concepts. Next, the paper reviews the definition of ‘innovation’ and proposes that agricultural innovation can occur at four different but interlinked domains.
This review seeks to assess the usefulness of innovation systems approaches in the context of the Integrated Agricultural Research for Development (IAR4D) in guiding research agendas, generating knowledge and use in improving food security and nutrition, reducing poverty and generating cash incomes for resource-poor farmers. The report draws on a range of case studies across sub-Saharan Africa to compare and contrast the reasons for success from which lessons can be learned.
The Challenge of Capacity Development: Working Towards Good Practice draws on four decades of documented experience provided by both bilateral and multilateral donors, as well as academic specialists, to help policy makers and practitioners think through effective approaches to capacity development and what challenges remain in the drive to boost country capacity. The analysis is underpinned by a conceptual framework which guides practitioners to view capacity development at three interrelated levels: individual, organisational and enabling environment levels.
Agricultural research programs that are driven by Agricultural Innovation System concepts usually target to change the way in which low income rural agrarian households in a nation like Nigeria communicate with the market and the decision making strategies pertaining to development of their agri-business and the scarce resources which are at their disposal.
This presentation for the Third Global Conference on Agricultural Research for Development (GCARD3,Johannesburg, South Africa, 5-8 April 2016) illustrates the topic of competitiveness in Africa smallholders system, focusing on the Integrated Agricultural Research for Development (IAR4D) and Agricultural Innovation Systems (AIS) concepts and on the role of the innovation platforms.
This presentation was realized for the GFAR workshop on "Adoption of ICT Enabled Information Systems for Agricultural Development and Rural Viability" (at IAALD-AFITA-WCCA World Congress, 2008). It presents lessons learned through linking research to extension, including examples from projects in Nigeria, Colombia, Uganda ,Costa Rica, Egypt and Bhutan.
This paper explores how a 'conflict and violence sensitive' framework in project assessment, design and implementation facilitates early identification and mitigation of negative consequences of competition and dispute, and promotes sustainable development over the longer term. It discusses the role of renewable resources in perpetuating conflict and violence, and distills lessons from selected development programming experiences in managing conflict risks associated with these dynamics.