Este artículo representa una síntesis de varios trabajos científicos que tratan los temas de la experimentación e innovación de los agricultores, y se realizó por medio de una búsqueda en bases de datos, libros y revistas científicas. Basado en esa información se pudo constatar que, durante la evolución agraria, la experimentación y la innovación de los agricultores han formado parte integral del desarrollo de los sistemas agrarios mundiales. La capacidad de ellos para responder y adaptarse a los cambios externos e internos forma la base para la evolución agraria
Ante las situaciones de cambio y transición experimentadas en Venezuela a distintos niveles y con diferentes alcances, la agroindustria se perfila como un elemento determinante para la transformación y la consolidación del sistema agroalimentario rural.
Investigadores de la Facultad de Agronomía de la Universidad de Buenos Aires participan desde 2003 en este proceso, aplicando el método de Interacción del Saber Técnico Popular (STP) y el Saber Científico (SC). Esta metodología complementaria de investigación se fundamenta en reconocer la validez y la utilidad del saber técnico popular y la fuerza y eficacia que puede generar su interacción con el saber científico.
Esta obra se base en los conocimientos y las experiencias de un grupo de administradores y evaluadores de 12 organizaciones, tanto nacionales como internacionales, que llevaron a cabo una serie de estudios de evaluación en Bangadesh, Cuba, Ghana, Nicaragua, Filipinas y Vietnam.
El presente documento busca evaluar y documentar los cambios organizacionales e institucionales generados en el marco de la Alianza de Aprendizaje y el impacto de estos cambios en el desarrollo socioeconómico de las familias rurales -población meta de los socios de la Alianza-, en algunos sitios seleccionados.
Participatory Impact Pathways Analysis (PIPA) is a practical approach to planning, monitoring and evaluation, developed for use with complex research-for-development projects. PIPA begins with a participatory workshop where stakeholders make explicit their assumptions about how their project will make an impact, and produce an ‘Outcomes logic model’ and an ‘Impact logic model’. These two logic models provide an ex-ante framework of predictions of impact that can also be used in priority setting and ex-post impact assessment.
Science and technology (S&T) are major contributors to food security, poverty reduction, and economic growth, as has been proven in Asia since the early-1970s through the Green Revolution in agriculture. Continuing to secure such gains, however, is becoming an increasingly complex undertaking. More than ever, quantitative data are vital for measuring, monitoring, and benchmarking the performance of agricultural S&T systems, including their inputs and outcomes.
The privatization of agricultural research and extension establishments worldwide has led to the development of a market for services designed to support agricultural innovation. However, due to market and systemic failures, both supply side and demand side parties in this market have experienced constraints in effecting transactions and establishing the necessary relationships to engage in demand-driven innovation processes.
This paper examines the role of postsecondary agricultural education and training (AET) in sub-Saharan Africa in the context of the region’s agricultural innovation systems. Specifically, the paper looks at how AET in sub-Saharan Africa can contribute to agricultural development by strengthening innovative capacity, or the ability of individuals and organisations to introduce new products and processes that are socially or economically relevant, particularly with respect to smallholder farmers who represent the largest group of agricultural producers in the region.
Since 2004, the Institutional Knowledge Sharing (IKS) Project, managed by CIAT, has focused on scaling up project activities in CGIAR Centers and Programs, with the aim of mainstreaming knowledge sharing (KS) principles and tools. The overall objective is to contribute to organizational development, and improve CGIAR effectiveness by promoting collaborative learning and innovation, and supporting effective use of KS approaches and tools throughout the CGIAR.