En esta comunicación se argumenta en torno a las ventajas de contar con una “Educación Intercultural sobre el Cambio Climático” como vía para empoderar a las comunidades locales. Se propone una metodología para la recuperación y valoración del estado de vitalidad/erosión intergeneracional de los conocimientos tradicionales sobre el cambio climático.
Esta artículo de tesis pretende realizar la identificación y el análisis de las condiciones habilitadoras y limitantes para el establecimiento de sistemas agroforestales en las veredas La Gorgona y Plaza Nueva del municipio de Remedios. Este análisis fue realizado a través de las metodologías de medios de vida de la comunidad y el marco de capitales de la comunidad.
This paper presents some experiences with e-learning tools in middle and low income countries, outlines opportunities for enhanced adoption of e-learning and identifies some gaps and questions that still need to be addressed to facilitate e-learning
This paper reports the activities carried out in the first Regional Agroforestry Innovation Networks (RAINs) meeting organized in Italy where Agroforestry Innovation Network project (AFINET) project is focused on the multipurpose olive tree systems in the territory around Orvieto Municipality, Umbria Region, Central Italy.
Within the context of the European-funded JOLISAA FP7 project (JOint Learning in Innovation Systems in African Agriculture), several agricultural innovation experiences focused on smallholders were assessed in Benin, Kenya and South Africa. Fifty-six cases were characterised through review of grey literature and interviews with resource persons according to a common analytical framework inspired by the innovation systems perspective. Of these, 13 were assessed in greater depth through semistructured interviews, focus-group discussions and multistakeholder workshops.
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.
Currently, agricultural extension system in Iran is experiencing a radical change to make extension system more effective in helping farmers to be more productive, profitable and sustainable.
This paper uses the Mexican Sustainable Modernisation of Traditional Agriculture (Ma-sAgro) programme as a case study to analyse the challenges to operationalizing agricultural innovation systems. The authors outline the relationship between Mexico ́s extension approaches and global trends in technological change. They then analyse how MasAgro ́s innovatio nnetworks are operationalized. Thirdly, is identified ways to efficiently target in innovation networks, using a case-study from the state of Chiapas. Finally, the paper draw lessons from MasAgro ́s innovation systems.
For better efforts in development of the farming community, agricultural extension services have always focused on farmers’ resources, activities and capabilities. And this has proved to be an important standing point in the rice growing state Tripura of North East India for attaining self-sufficiency in food grain and developing the economic condition of the farmers. System of Rice Intensification (SRI) has been a boon to the rice farmers and also has posed as an example especially in similar other conditions around the world.
This article focus on studying brand experience under the background of IOT through data selecting and analysis , try to make a service design plan according to the design-driven branding innovation. The study take a local fruit brand as study object named “Taozhiyuan” , not only focus on logo or package but try to establish a co-design platform which all the stakeholders and take part in . This platform is based on the system supported by the Wuxi PeachWell IOT Technology Co. Ltd