This book documents the proof of the Integrated Agricultural Research for Development (IAR4D) Concept that was developed by the Forum for Agricultural Research for Development in Africa (FARA). The IAR4D concept forms the basis for the Sub Saharan Africa Challenge Program (SSA CP) which is the only CGIAR Challenge Program that was limited to only one region in the world.
Governments of low-income countries and international development donors are increasing their funding for research at least in part on the assumption that research has positive impacts on socioeconomic development. Four pathways are commonly cited to describe how research will contribute to development: 1. Investment in research will drive economic growth; 2. Investment in research will increase human capital; 3. Investment in research will lead to the development of pro-poor products and technologies; 4.
The book offers insights into the theory and practice of ‘innovation systems’. It covers background and concepts about the ‘how to’ of facilitating innovation, and the role of the broader context. The emphasis is about the dynamics of rural innovation – how to work with the changing nature of both the context and people involved in rural innovation processes and how to facilitate networks of stakeholders to stimulate innovation.
This presentation on innovation systems and innovation platforms was presented at the Africa RISING Training Workshop on Innovation Platforms, Addis Ababa, 23-24 January 2014.The presentation explains the concepts of innovation, innovation systems and innovation platform (IP) and also defines roles and characteristics of the IPs.
The three system CGIAR research programs on Integrated Systems for the Humid Tropics, Dryland Systems and Aquatic Agricultural Systems have included “capacity to innovate” as an intermediate development outcome in their respective theories of change. The wording of the intermediate development outcome is “increased systems capacity to innovate and contribute to improved livelihoods of low-income agricultural communities.” This note captures the CGIAR's collective thinking about this intermediate development outcome from a systems perspective to clarify it and inspire other programs.
The central question in increasing productivity and generating incomes in African agriculture is how to move from technology generation to innovations that respond to constraints of agricultural production along the value chains. This question was considered in the context of subsistence agriculture, smallholder production systems, inefficient marketing and investments by the private sector, a preponderance of public interventions, and inadequate policies.
The international workshop on Agricultural Innovation Systems in Africa (AISA) was held in Nairobi, Kenya, on 29–31 May 2013. Its main objectives were to learn jointly about agricultural innovation processes and systems in Africa, identify policy implications and develop policy messages, and explore perspectives for collaborative action research on smallholder agricultural innovation.The workshop focused on sharing experiences in trying to understand and strengthen multi-stakeholder innovation processes and the role of smallholders in innovation, and identifying and discussing priorities an
The project of Innovation for Agriculture Training and Education (innovATE) seeks to strengthen the full range of institutions that train and educate agricultural professionals in developing and emerging economies. This capacity building will serve to build an equipped agricultural workforce that can lead to increased social and economic growth.
Traditional shifting cultivation in the Amazon region has caused negative environmental and social effects due to the use of fire. This type of agriculture has been criticized because it results in emission of large amounts of carbon into the atmosphere and a loss of soil productive potential.
Automation of essential processes in agriculture is becoming widespread, especially when fast action is required. However, some processes that could greatly benefit from some degree of automation have such difficult characteristics, that even small improvements pose a great challenge. This is the case of fish disease diagnosis, a problem of great economic, social and ecological interest. Difficult problems like this often require a interdisciplinary approach to be tackled properly, as multifaceted issues can greatly benefit from the inclusion of different perspectives.