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).
The Excel workbook contains some preconfigured spreadsheets that can be used for entering data collected through the capacity scoring questionnaire (Version 1 and Version 2), which has been developed in the context of the the CDAIS project, and to perform some basic analysis as well as visualize the data.
Poor farmers seldom benefit from new agricultural technologies. In response, research and extension approaches based on agricultural innovation systems are popular. Often agricultural research organisations are the network brokers, facilitating the emergence of the innovation system. Based on an analysis of the Sustainable Modernization of Traditional Agriculture (MasAgro) initiative in Mexico, this viewpoint suggests that such organisations are more often suitable network brokers when the objective is the development and scaling out of a technology by itself.
Capacity development interventions in support of agricultural innovation are more effective when based on systematic and participatory assessments of existing skills and capacity needs. Recognizing that, an instrument has been developed in the context of the Capacity Development for Agricultural Innovation Systems (CDAIS) project. It consists of a capacity scoring tool that allows assessing innovation capacities, identifying strengths and weaknesses and monitoring capacity changes over time. This paper describes the scoring tool and provides guidelines on how to apply it successfully.
In an effort to raise incomes and increase resilience of smallholder farmers and their families in Feed the Future1 (FTF) countries, the United States Agency for International Development (USAID) funded the Developing Local Extension Capacity (DLEC) project. This project is led by Digital Green in partnership with the International Food Policy Research Institute (IFPRI), CARE International (CARE) and multiple resource partners.
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
This paper describes the research path followed by a team of researchers who had investigated the nitrate problem in a case study area, and who became aware of the low impact of their data on the policy debate and on the practices that – as the research team saw it – had given rise to the problem in the first place. They embarked on a series of interactions first with participatory action researchers from the SLIM project (see Fig.
Many small-scale irrigation systems are characterized by low yields and deteriorating infrastructure. Interventions often erroneously focus on increasing yields and rehabilitating infrastructure. Small-scale irrigation systems have many of the characteristics of complex socio-ecological systems, with many different actors and numerous interconnected subsystems. However, the limited interaction between the different subsystems and their agents prevents learning and the emergence of more beneficial outcomes.
This presentation for the Third Global Conference on Agricultural Research for Development (GCARD3,Johannesburg, South Africa, 5-8 April 2016) illustrates the main goals and activities of the Tropical Agriculture Platform, the multilateral facilitation mechanism established by the G20 to promote greater coherence and impact of capacity development (CD) for agricultural innovation systems (AIS).