Undertaking Capacity Needs Assessment (CNA) is critical for organizing appropriate capacity development interventions. AESA organised four workshops on CNA of EAS in India, Sri Lanka, Bangladesh and Nepal with the following objectives.
1. Identify capacity gaps among EAS providers
2. Finalise a methodology for undertaking capacity needs assessment.
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 paper reviews the extension curricula currently followed in universities in India at different levels in light of the new challenges faced by farmers, the new capacities needed among extension personnel to address these challenges, new trends in the job market and advances made in the field of extension.
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 document on Good Practices in Extension Research and Evaluation is developed as a hands on reference manual to help young researchers, research students, and field extension functionaries in choosing the right research methods for conducting quality research and evaluation in extension. This manual has been compiled by the resource persons who participated in the Workshop on ‘Good
Extension and advisory services (EAS) play a key role in facilitating innovation processes, empowering marginalized groups through capacity development, and linking farmers with markets. EAS are increasingly provided by a range of actors and funded from diverse sources. With the broadened scope of EAS and the growing complexity of the system, the quantitative performance indicators used in the past (for example related to investment, staffing or productivity) are no longer adequate to assess the performance of EAS systems.
During the last six years (2013-2019), the Agricultural Extension in South Asia (AESA) Network has served as a platform for collating the voices, insights, concerns, and experiences of people in the extension sphere of South Asia. Diverse professionals shared their concerns on the present and future of Extension and Advisory Services (EAS) in the form of blog conversations for AESA.
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.