This trainers’ manual on capacity needs assessment was produced as part the Capacity Development for Agricultural Innovation Systems (CDAIS) project. This involves a global partnership (Agrinatura, the Food and Agriculture Organization of the United Nations [FAO] and national partners from eight pilot countries) that aims to strengthen the capacity of countries and key stakeholders to innovate in complex agricultural systems, thereby achieving improved rural livelihoods.
This Coaching Process guide was prepared under the project Capacity Development for Agricultural Innovation Systems (CDAIS), a global partnership (Agrinatura, FAO and eight pilot countries) that aims to strengthen the capacity of countries and key stakeholders to innovate in complex agricultural systems, thereby achieving improved rural livelihoods. CDAIS uses a continuous learning cycle approach to support national agricultural innovation systems in eight countries in Africa, in Asia and Central America.
This guide on Monitoring, Evaluation and Learning was prepared under the project Capacity Development for Agricultural Innovation Systems (CDAIS), a global partnership (Agrinatura, FAO and eight pilot countries) that aims to strengthen the capacity of countries and key stakeholders to innovate in complex agricultural systems, thereby achieving improved rural livelihoods. CDAIS uses a continuous learning cycle approach to support national agricultural innovation systems in eight countries in Africa, in Asia and Central America.
Esta guía del Proceso de Acompañamiento fue preparada bajo el proyecto Desarrollo de Capacidades para Sistemas de Innovación Agrícola (CDAIS), una asociación global (Agrinatura, FAO y ocho países piloto) que tiene como objetivo fortalecer la capacidad de los países y las partes involucradas para innovar en sistemas agrícolas complejos y así lograr mejores medios de vida en las zonas rurales. CDAIS utiliza un enfoque de ciclo de aprendizaje continuo para apoyar los sistemas nacionales de innovación agrícola en ocho países de África, Asia y América Central.
The experiences shared in this book of Conversations of Change capture the outcomes of three years’ work conducted by the eight CDAIS country teams from Angola, Bangladesh, Burkina Faso, Ethiopia, Guatemala, Honduras, Laos and Rwanda. Collected between January and March 2019, they provide insights and perspectives of different actors engaged in the different capacity strengthening processes, within individuals and innovation niche partnerships, and at organisational and national level.
This manual was produced as a resource for the National Innovation Facilitators (NIFs) across countries of the Capacity Development for Agricultural Innovation Systems Project (CDAIS). The objective of this manual is to guide the activities organization level as well as coach the national innovation facilitators. It will help them increasing their understanding of the different stages of the coaching process. This guide provides information on the general methodology of engaging, supporting and coaching actors of key national organizations to have the capacities to innovate.
Although agricultural innovation systems (AIS) have recently received considerable attention in academic and development circles, links between an AIS's regional specifications and structural-functional analysis have been neglected. This paper aims to understand how regional and structural dimensions determine systemic problems and blocking mechanisms that, in turn, hinder a regional AIS's function.
En esta presentación se describe la estructura, funcionamiento, prioridades y aportes del Sistema Nacional de Investigación y Transferencia de Tecnología Agropecuaria (SNITTA) en Costa Rica.
This paper comparatively analyzes the structure of agricultural policy development networks that connect organizations working on agricultural development, climate change and food security in fourteen smallholder farming communities across East Africa, West Africa and South Asia.
This work has largely focused on the developed world, yet the majority of people and future economic growth lies in the developing world. Further, most research examines micro data on consumers or firms, limiting what is known regarding the role of macro factors on diffusion, such as social systems. Addressing these limitations, this research provides the first high-level insights into how green building adoption is occurring in developing countries.