This paper builds on experiences from the Research Into Use programme in South Asia that tried to up-scale promising research outputs into wider use. The experience suggests that while facilitating access to technology is important in putting research into use, it has value only when it is bundled together with other innovation-management tasks such as: developing networks, organising producers, communicating research needs, mediating conflicts, facilitating access to inputs and output services, convening innovation platforms, and advocating for policy change and other negotiated changes in
This blended learning program for facilitators of innovation platforms was developed working with SMEs from ILRI, IITA, ICRAF and Wageningen University and drawing on materials from FARA and CIAT to sequence content and learning experiences so that learners can rapidly acquire and retain the skills and knowledge they need to fill this demanding role.
This document is intended to serve as a resource for assessing capacity needs in a project or programme. A capacity needs assessment (CNA) is a process for identifying a project’s perceptions (through staff, partners and stakeholders) on various capacity areas that impact the work they do. The process helps identify challenges and opportunities for enhancing key skills thereby enhancing the project’s ability to achieve its objectives. The overall goal of a CNA is to determine the gap between required and existing capacities.
Though research on communication and innovation during the last decade brought better understanding on the innovation process, this has not influenced the underlying paradigm and practice of Extension and Advisory Services (EAS) in most countries. At the same time there have been few initiatives that tried to experiment with new ways of developing capacities for extension and innovation.
The universal application of the T&V model of agricultural extension in more than 50 countries is one of agricultural development’s best known failures. The approach worked well in places where it was originally developed, but proved inappropriate almost everywhere else. In this report Rasheed Sulaiman V. and Andy Hall worry that an apparently successful extension innovation piloted in India is set to suffer a similar fate.
This guide is intended to assist facilitators in conducting a workshop with Extension and Advisory Service (EAS) providers for assessing their capacity needs. This guide has been compiled by the Centre for Research on Innovation and Science Policy (CRISP) for AESA with the assistance of a research grant from the Global Forum for Rural Advisory Services (GFRAS).
This paper is a contribution to the establishment of a new capacity development (CD) 9 strategy, a process that the Consortium Office will facilitate, with external input, during 2013. The paper explores the lessons learned from CGIAR’s experience with CD and reflects the findings of a working group that was brought together in late 2012. The objective of the paper is to identify the roles that individual and institutional CD might play in CGIAR in order to increase CGIAR’s impact on the welfare of smallholder farmers and the sustainability of their farming systems.
This paper argues that impact assessment research has not made more of a difference because the measurement of the economic impact has poor diagnostic power. In particular it fails to provide research managers with critical institutional lessons concerning ways of improving research and innovation as a process. Paper's contention is that the linear input-output assumptions of economic assessment need to be complemented by an analytical framework that recognizes systems of reflexive, learning interactions and their location in, and relationship with, their institutional context.
In the post-harvest area and in agriculture research in general, both in India and internationally, policy attention is returning to the question of how innovation can be encouraged and promoted and thus how impact on the poor can be achieved. This publication assembles several cases from the post-harvest sector. These provide examples of successful innovation that emerged in quite different ways. Its purpose is to illustrate and analyze the diversity and often highly context-specific nature of the processes that lead to and promote innovation.
This policy brief sets out the conceptual and empirical underpinnings of a learning-orientated monitoring and evaluation approach known as Institutional Learning and Change (ILAC) and discusses options for learning-oriented interventions and policy research.