This brief analyzes the latest thinking on capacity development, summarizing the main
debates, successes and challenges identified in the key literature of the five years prior to the publication date (2013).
This paper discusses issues related to support for capacity strengthening for agricultural research for development (ARD) by member countries of the European Initiative for Agricultural Research for Development. It summarises the findings of an analysis of the policies, programmes and projects in capacity strengthening for ARD of fourteen European countries. These policies, programmes and projects were previously examined in relation to a common set of criteria covering aspects of needs identification, design, implementation, assessment, documentation and sharing of information.
This ‘Tourist Guide’ is a resource document charting the emerging landscape of systems studies on rural innovation. Note that the term ‘rural innovation’ is used rather than ‘agricultural innovation’ in recognition of the wider scope of knowledge applications that are important in contemporary rural livelihoods. There is a growing body of literature dealing with rural innovation with some research groups developing ideas over the last 20 odd years on the topic.
Experiential learning is prevalent in secondary and university agricultural education programs. An examination of the agricultural education literature showed many inquiries into experiential learning practice but little insight into experiential learning theory. This philosophical manuscript sought to synthesize and summarize what is known about experiential learning theory. The literature characterizes experiential learning as a process or by the context in which it occurs.
These notes summarise reflections on local innovation and participatory innovation development that took place within the PROLINNOVA International Support Team (IST), based on observations and discussions with network partners during advisory visits and international workshops.
This paper introduces Rapid Appraisal of Agricultural Innovation Systems (RAAIS). RAAIS is a diagnostic tool that can guide the analysis of complex agricultural problems and innovation capacity of the agricultural system in which the complex agricultural problem is embedded. RAAIS focuses on the integrated analysis of different dimensions of problems (e.g. biophysical, technological, socio-cultural, economic, institutional and political), interactions across different levels (e.g.
This paper is an attempt to take stock of the authors' work. In Section 2, the authors reflect upon the emergence and fairly rapid diffusion of the concept ‘national system of innovation’ as well as related concepts. In Section 3, they describe how the Aalborg-version of the concept evolved by a combination of ideas that moved from production structure towards including all elements and relationships contributing to innovation and competence building.
Four types of scaling are discussed in this brief. The first two focus on ways individual technologies or interventions are taken to scale through platforms. The third is when a platform adjusts to address different scales. The fourth is when the innovation platform approach is replicated. This brief is part of the series of ‘practice briefs’ intended to help guide agricultural research practitioners who seek to support and implement innovation platforms.
This brief deals with the importance of power and representation within in innovation platforms. The brief is part of the series of ‘practice briefs’ intended to help guide agricultural research practitioners who seek to support and implement innovation platforms. A contribution to the CGIAR Humidtropics research program, the development of the briefs was led by the International Livestock Research Institute; they draw on experiences of the CGIAR Challenge Program on Water and Food, several CGIAR centres and partner organizations.
In this paper, presented at the 8th European IFSA Symposium ( Workshop 6: "Change in knowledge systems and extension services: Role of the new actors") in 2008, the authors discuss a conceptual framework that understands innovation processes as the outcome of collaborative networks where information is exchanged and learning processes happen. They argue that technical and economic factors used to analyse drivers and barriers alone are not sufficient to understand innovation processes.