This study reports on the contribution of farmer– to-farmer video-mediated group learning to capital assets building of women in resource-poor households. Data were collected using structured interviews with 140 randomly selected women in 28 video villages and 40 women in four control villages in north-west Bangladesh. Video-mediated group learning enhanced women’s ability to apply and experiment with seed technologies. It also stimulated reciprocal sharing of new knowledge and skills between them, other farmers and service providers.
The authors aimed at knowing how different learning methods, such as video shows and workshops, change farmers’ knowledge, attitudes and practices about botanical pesticides. This paper explains how video engages men and women farmers in spreading botanical pesticides across 12 villages in Bogra District, north-western Bangladesh.The authors conducted ex ante and ex post surveys among farmers from November 2009 to September 2010. For data analysis, the authors used t-test and McNemer and Wilcoxon sign rank tests.
In this paper, findings suggest that the uptake of social media is still in an early, exploratory phase associated with modest opportunities and relevant limitations of Web 2.0 mediated multi-stakeholder collaboration. Notably, there are gaps in giving and receiving feedback which are intrinsic to dyadic communication as well as innovation processes.
The Centre for Development Research (CDR), in collaboration with local partnership managed by the Bangladesh Agricultural University worked to establish a platform (i.e. a participatory rural video centre) that acts upon fostering rural women’s capacity for agricultural innovation in the north-west and north-east region of Bangladesh. In this paper, the authors elaborate principles of establishing the centre, and some evidences on Farmers’ Participatory Research (FPR) in the community.
In Bangladesh, strengthening agricultural innovation calls for facilitation of interactive communication and a wide range of mediation tasks within (and between) stakeholders operating in different social spheres. This paper examines how a public-sector agricultural extension agency has attempted to change its roles in implementing a major agricultural extension project in order to strengthen agricultural innovation.
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.
The first phase in the development of the Common Framework on Capacity Development for Agricultural Innovation systems (CD for AIS) consisted of the review of the existing literature, building up a repository of relevant documentation on agricultural innovation in general and AIS and CD for AIS. This report summarizes this first phase. In particular, Section 1 covers this brief introduction. Sections two and three focus on the review of relevant literature, presenting the methodology used and the structure of the repository itself.
The Action Planning is a tool that formalizes commitments and plots the route to their implementation. An action plan is intended for the use of the core actors, who will have been identified beforehand in the visioning phase. It determines who does what and when, and is therefore essential to ensuring that things get done and that the goals and visions set out in the capacity development strategy are achieved.
This tool was designed to assess innovation capacities, identify strengths and weaknesses and monitor capacity changes over time. The scoring tool makes it clear which functional capacities are going to be needed to promote, lead or successfully participate in innovation processes. The tool evaluates capacities on the basis of 21 indicators (each of which is graded on a scale from 0 (low capacity) to 3 (high capacity), and build on the key innovation capacities identified in the capacity needs assessment.
Social Network Analysis is a practical and useful tool that looks at the linkages present in an innovation network and monitors their development over time. It maps the relationships between the stakeholders in the network and highlights the changes between them.