Con métodos cualititativos los autores analisaron los procesos de resistencia y (retro) innovación construidos y defendidos por una comunidad de productores de quesos crudos en el Golfo de Arauco (Chile); territorio marcado por el monocultivo forestal. Su existencia y viabilidad económica, desafía la industria forestal y el marco regulatorio existente, particularmente las normas higienistas de pausterización.
Este ejercicio investigativo reflexiona sobre la conexión entre la apropiación social del conocimiento, la innovación social y la participación ciudadana, como elementos de la innovación social democrática, a partir del análisis de dos iniciativas generadas por participantes del programa de formación, implementado en los municipios de Clemencia y María la Baja (Bolívar-Colombia), en el marco de los Laboratorios Vivos de Innovación y Cultura.
This chapter tries to establish a connection between the low level of innovation and inventions in Africa and the absence of indigenous knowledge in teaching, learning and research across the continent. It starts by exploring the fundamental tenets of innovation and proceeds to look at the relationship between innovation and indigenous knowledge.
Participatory action Research In Software Methodology Augmentation (PRISMA) is a software development methodology which has been amalgamated with Participatory Action Research (PAR). This paper justifies the inclusion of PAR in software development, and describes the PRISMA methodology vis-à-vis a case study. Specifically, the case study encompasses the development of eToro, an Indigenous Knowledge Management System for the Penans, a remote and rural community in Malaysian Borneo
The aim of this paper is to characterise the innovativeness of individual farms in the Łódź region. Based on a domestic and foreign literature study, the most frequently used variables connected with farms (namely, the type of agricultural activity, economic size and VAT settlement system) were selected. The analysis of selected variables that characterise the innovative activity of the researched entities was carried out using the basic measures of structural analysis and interdependence of phenomena.
Conventional approaches to agricultural extension based on top–down technology transfer and information dissemination models are inadequate to help smallholder farmers tackle increasingly complex agroclimatic adversities. Innovative service delivery alternatives, such as field schools, exist but are mostly implemented in isolationistic silos with little effort to integrate them for cost reduction and greater technical effectiveness.
Common Agricultural Policy (CAP) proposes environmental policies developed around action-based conservation measures supported by agri-environment schemes (AES). High Nature Value (HNV) farming represents a combination of low-intensity and mosaic practices mostly developed in agricultural marginalized rural areas which sustain rich biodiversity. Being threatened by intensification and abandonment, such farming practices were supported in the last CAP periods by targeted AES.
Technology and innovation are important in addressing complex problems in the agricultural sector in many developing communities. However, ways and mechanisms to integrate them in the agricultural sector are still a challenge due to the lack of clear pathways and trajectories. Value chains are seen as a strong policy instrument to increase profitability in the agricultural sector; there is also debate around whether value chains can be a potential option to organize technology and innovation trajectories in agriculture.
Many of the world’s food-insecure and undernourished people are smallholder farmers in developing countries. This is especially true in Africa. There is an urgent need to make smallholder agriculture and food systems more nutrition-sensitive. African farm households are known to consume a sizeable part of what they produce at home. Less is known about how much subsistence agriculture actually contributes to household diets, and how this contribution changes seasonally. We use representative data from rural Ethiopia covering every month of one full year to address this knowledge gap.