If you are a research or innovation manager or a funder of innovation in the agrifood sector, in the private or public sphere, these Principles are for you. Investment in research and innovation today will shape the agrifood systems of the future. The choices that you make during an innovation process will affect the future benefits and drawbacks of the innovations you help to create: for example, what types of people gain and lose, and what the effects are on the environment. Too often, these choices are not made consciously, and important issues are overlooked until it is too late.
Investment in research and innovation today will shape the agrifood systems of the future. The choices that you make during an innovation process will affect the future benefits and drawbacks of the innovations you help to create: for example, what types of people gain and lose, and what the effects are on the environment. Too often, these choices are not made consciously, and important issues are overlooked until it is too late.
The challenges faced by agricultural innovation systems (A.I.S.) are complex to solve, however, the authors consider that understanding the processes of innovation and development (R&D), sustainability, use of information and communication technologies, training, and outreach, as the focus of discussion in this review, have great potential to close the gaps in the system; as well as exploring strategies, projects and best practices that dynamize the operation of the system. The objective of this article is to review the literature on A.I.S.A.
The aim of this article is to show the relevance of the sociology of market agencements (an offshoot of actor-network theory) for studying the creation of alternative agri-food networks. The authors start with their finding that most research into alternative agri-food networks takes a strictly informative, cursory look at the conditions under which these networks are gradually created. They then explain how the sociology of market agencements analyzes the construction of innovative markets and how it can be used in agri-food studies.
This paper is a case study of a network that combined participatory approaches to propose best suited knowledge management (KM) interventions for its member countries. A five-step exercise used existing elements of the alliance’s strategy, a KM survey and a face-to-face participatory validation of the analysis, to identify gaps in current KM approaches and to collectively point to immediate opportunities for improvement. The KM survey, also referred to as a scan, provided a neutral space for reflection.
Presentation for the AARINENA General Assembly. Damascus. 12-14 October 2008 on enhancing Information and Knowledge Systems for Agricultural Research and Innovation in West Asia and North Africa (WANA). In particular, the presentation outlines the need to enhance Information and Knowledge Systems in WANA, the priority areas for enhancing information and knowledge systems in WANA, the role of GFAR and its members in enhancing information and knowledge systems in WANA.
Agrifood value chains of small and medium-sized producers in the Near East and North Africa region have the potential to generate more value through improved access to high-value markets. Limited logistics capacity in the region, coupled with lack of access to continuous cold chain, has resulted in weak supply chain management, high level of food loss, lack of compliance with food quality and safety standards; information asymmetries; and unfair value distribution, affecting income and livelihood of small and medium-sized producers.
This article examines differences in the research approaches of farmers and scientists and analyzes how these differences are related to the conditions under which both groups engage in experimental work. Theoretical considerations as well as practical experiences are presented to emphasize the great potential of farmer–researcher collaboration for rural innovation.
The creation of Competitive Research Grants (CRGs) is globally recognized as an institutional innovation for improving the effectiveness of agricultural research. Unlike block grants for research, CRGs are expected to bring in many top-quality proposals from a wide range of actors, selecting the best out of them and thus getting more value for money.