La Guía Operativa provee una breve recapitulación de los fundamentos conceptuales y principios del Marco Común de la TAP así como una guía más detallada para la operacionalización del enfoque de rutas de doble vía del Desarrollo de Capacidades (DC) para los Sistemas de Innovación Agrícola (SIA). También ofrece una estrategia para el monitoreo y evaluación, así como una caja de herramientas que pueden ser útiles en las diferentes etapas del ciclo de DC para los SIA.
The Agribusiness for Trade Competitiveness Project (ATC-P), branded as Katalyst, is a pioneer market systems development project contributing to sustainable poverty reduction in Bangladesh. It is implemented by Swisscontact under the umbrella of the Ministry of Commerce, Government of Bangladesh. The project has been operating in Bangladesh since 2003 in three phases.
The Synthesis Document provides a synthesis of concepts and principles of the Common Framework developed under the Tropical Agriculture Platform (TAP). The objective of the TAP Common Framework is to promote better coherence and greater impact of capacity development in support of agricultural innovation in the Tropics. Developed in 2015 through a highly participatory process, it was agreed that the Framework should provide conceptual underpinnings and practical guidance.
Ce dépliant donne un aperçu du Cadre commun sur le renforcement des capacités (CD) pour les Systèmes d'innovation agricole (AIS).
Este folleto proporciona una visión general del Marco Común de la TAP sobre el Desarrollo de Capacidades (DC) para los Sistemas de Innovación Agrícola (SIA).
This document intends to provide an analysis of the outcomes of the application of the TAP Common Framework in the eight countries of the Capacity Development for Agricultural Innovation Systems (CDAIS) project. The TAP Common Framework (TAP CF) was developed at the global level as an initial activity of the CDAIS project in order to guide capacity development (CD) and strengthening of Agricultural Innovation Systems (AIS). The project then tested this framework in eight pilot countries (Guatemala, Honduras, Burkina Faso, Angola, Rwanda, Ethiopia, Lao PDR, Bangladesh).
In early 2020, GFRAS provided support to the Agricultural Extension in South Asia (AESA) Network and the Bangladesh Agricultural Extension Network (BAEN) in order to customize one of the NELK Modules in the context of Bangladesh. The BAEN Executive Committee selected the GFRAS NELK Module 7 on ‘Facilitation for Development’ for customization. AESA and BAEN jointly implemented the development of the customized module for Bangladesh. The process of customization consisted of five phases spread over a span of six months.
The aim of this report is to provide a detailed review of documented social learning processes for climate changeand natural resource managementas described in peer-reviewed literature. Particular focus is on identifying (1) lessons and principles, (2) tools and approaches, (3) evaluation of social learning, as well as (4) concrete examples of impacts that social learning has contributed to.
This book represents the proceedings of the FAO international technical conference dedicated to Agricultural Biotechnologies in Developing Countries (ABDC-10) that took place in Guadalajara, Mexico on 1-4 March 2010. A major objective of the conference was to take stock of the application of biotechnologies across the different food and agricultural sectors in developing countries, in order to learn from the past and to identify options for the future to face the challenges of food insecurity, climate change and natural resource degradation.
The capacity of existing monitoring and decision making tools in generating evidence about the performance of R4D with multi-stakeholder processes, such as innovation platforms (IPs), public private partnerships (PPP), participatory value chain management (PVCM) is very limited. Results of these tools are either contextual and qualitative such as case studies that can not be used by other R4D interventions or quantitative i.e. impact assessments that do not inform what works in R4D.