Adapting through innovation is one way for rural communities to sustain and improve their livelihoods and environments. Since the 1980s research and development organizations have developed participatory approaches to foster rural innovation. This paper develops a model, called the Learning-to-Innovate (LTI) model, of four basic processes linked to decision making and learning which regulate rate and quality of innovation. The processes are: creating awareness of new opportunities; deciding to adopt; adapting and changing practice; and learning and selecting.
This paper takes the viewpoint of a social scientist and looks at agricultural scientists' pathways for science impact. Awareness of these pathways is increasingly becoming part and parcel of the professionalism of the agricultural scientist, now that the pressure is on to mobilize smallholders and their productive resources for (global) food security and for reducing persistent rural poverty. Significant new thinking about pathways is emerging and it is useful to present some of this, even if it is not cut-and-dried.
The history of agricultural research and development (R&D) has never been static. Its philosophies, concepts and principles continue to change and to impact on present-day practices. It is imperative to understand and draw lessons from the old and new perspectives, which inform agricultural R&D processes and policy formulation in developing countries. The interest of this paper is, therefore, to draw relevant lessons that can explain the dynamics,of the innovation systems at the grassroots in sub-Saharan Africa in particular.
The purposes of this course are to review the major reforms being considered internationally that aim to change the policy and institutional structure and operations of public sector agricultural extension systems, and to examine the advantages and disadvantages of each of these reforms as illustrated by the selected case studies. Aside from the introductory chapter, the course is organized into nine modules, which are conceived as part of a larger framework.
The citizens of Lesotho rely on a complex web of livelihood strategies made primarily of family kinships and strong community networks. Recently, community breakdowns have occurred because of extensive land degradation, soil erosion, widespread poverty, and HIV/AIDs. This thesis focuses on two aspects which are likely to help decrease the problems earlier stated.
According to the authors of this paper, actual methods of scaling are rather empirical and based on the premise of ‘find out what works in one place and do more of the same, in another place’. These methods thus would not sufficiently take into account complex realities beyond the concepts of innovation transfer, dissemination, diffusion and adoption. As a consequence, scaling initiatives often do not produce the desired effect.
This paper critically discusses the modification and application of one particular participatory approach to agricultural systems analysis (Rapid Appraisal of Agricultural Innovation Systems [RAAIS]) to agricultural adaptation in Southeast Kazakhstan. We consider the overall effectiveness of the method as a research tool, practical issues in the implementation of workshops, definition of and selection of participant groups, as well as the questions of participation and empowerment within the workshops themselves.
Increasingly, value chain approaches are integrated with multi-stakeholder processes to facilitate inclusive innovation and value chain upgrading of smallholders. This pathway to smallholder integration into agri-food markets has received limited analysis. This article analyses this integration through a case study of an ongoing smallholder dairy development programme in Tanzania.
The capacity scoring questionnaire is an instrument that can be used when assessing the systems capacities of innovation partnerships or organizations in order to identify strengths and weaknesses and monitor change over time. It thus supports the design and implementation of successful capacity development interventions for agricultural innovation. This questionnaire has been developed in two versions (Version 1 and Version 2) and has been piloted in several countries in the context of the Capacity Development for Agricultural Innovation Systems (CDAIS).
The capacity scoring questionnaire is an instrument that can be used when assessing the systems capacities of innovation partnerships or organizations in order to identify strengths and weaknesses and monitor change over time. It thus supports the design and implementation of successful capacity development interventions for agricultural innovation. This questionnaire has been developed in two versions (Version 1 and Version 2) and has been piloted in several countries in the context of the Capacity Development for Agricultural Innovation Systems (CDAIS).