Con el espíritu de contribuir a este enfoque se presenta esta guía metodológica sobre “Sistemas Territoriales de Abastecimiento Alimentario” orientada a técnicos, académicos y tomadores de decisiones tanto de gobiernos locales, regionales o nacionales como de la iniciativa privada. Su objetivo es brindar pautas para analizar los sistemas de abastecimiento, con énfasis en la inclusión de la agricultura familiar.
As the name suggests, the original aim of the Rural Knowledge Network (RKN) was to make more information available specifically about markets, to smallholder farmers. The core idea was to provide information to farmers and traders about current market prices in different markets around the country. This was done by building a network of entrepreneurs who regularly collected the price information and sent it to a central collecting Internet platform facility.
This document provides an overview of the Tropical Agriculture Platform and highlights its main goals and activities.
From 4 June to 1 July 2012, the UN Food and Agriculture Organization (FAO) hosted a moderated email conference on "Ensuring the full participation of family farmers in agricultural innovation systems: Key issues and case studies". It was a highly successful global dialogue, with a very stimulating discussion. About 560 people subscribed to the conference, of whom 114 people (20% of the total), from nearly 50 different countries, wrote at least one of the 242 messages that were posted.
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.
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 práctica se preparó en el marco del proyecto Desarrollo de capacidades para sistemas de innovación agrícola (CDAIS), una asociación mundial (Agrinatura, FAO y ocho países piloto) que tiene como objetivo fortalecer la capacidad de los países y las partes interesadas clave para innovar en sistemas agrícolas complejos. lograr mejores medios de vida 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.
Ce document de directives pratiques a été préparé dans le cadre du projet Développement des capacités pour les systèmes d'innovation agricole (CDAIS), un partenariat mondial (Agrinatura, FAO et huit pays pilotes) qui vise à renforcer la capacité des pays et des principales parties prenantes à innover dans des systèmes agricoles complexes, ce qui permet l'amélioration des moyens de subsistance en milieu rural. Le CDAIS utilise une approche de cycle d'apprentissage continu pour soutenir les systèmes nationaux d'innovation agricole dans huit pays d'Afrique, d'Asie et d'Amérique centrale.
There is increasing policy, practice and academic interest in “inclusive innovation”. In simple terms, this is the means by which new goods and services are developed for and/or by those who have been excluded from the development mainstream; particularly the billions living on lowest incomes. However, there are many competing perspectives on inclusive innovation, which this paper resolves into an integrated ‘ladder’ model of different levels of inclusive innovation.
The paper aims to identify barriers to the development of Learning and Innovation Networks for sustainable agriculture (LINSA). In such networks, social learning processes take place, and knowledge about sustainable agriculture is co-produced by connecting between the different frames and social worlds of the stakeholders with the help of boundary objects. Studying such processes at the interface between different knowledge spheres of research, policy and practice requires a specific methodology.