ICARDA scientists along with CGIAR LIVESTOCK developed a cloud-based genetic database platform to boost breed improvement programs in community-based livestock breeding programs in Ethiopia.
Geographic information system (GIS) data is often used to map socio-economic data with a spatial component. This data, which is obtained from multiple open-source databases, complements official statistics and generates additional spatial inputs to statistical and econometric analyses. IFAD uses impact assessments using data from face-to-face interviews in order to determine the impact of their projects on strategic goal and objectives. However, the COVID-19 pandemic meant these interviews could no longer take place.
El presente documento sistematiza los principales hallazgos de la Mesa de Articulación Interinstitucional para el fortalecimiento del sistema territorial de innovación del sector lechero en Boyacá (Colombia), llevada a cabo en la ciudad de Tunja el 12 de mayo de 2022. Este espacio de construcción colectiva que contó con la participación de 50 delegados de la institucionalidad pública, organizaciones de productores, academia y empresas privadas, tuvo como objetivo conocer la oferta de las instituciones del departamento y su agenda 2022 en materia de innovación.
Global Open Data for Agriculture and Nutrition (GODAN) and The Haller Foundation joined forces in 2016 when the UK based charity released version one of the Haller Farmers App.
In order to bring about sustainable transformation and business orientation into the Indian Agriculture sector, there have been schematic interventions to promote unique forms of social capital for farmers, called Farmer Producer organizations (FPOs). Many stakeholders, particularly NGOs, are involved in promoting and handholding these FPOs in a target-driven mode by promoting a large number of such institutions across the country.
The International Fund for Agricultural Development (IFAD) financed the second Cordillera Highland Agricultural Resource Management Project (CHARMP2), in areas where poverty is most severe among indigenous peoples in the highlands of the Cordillera Region in northern Philippines. The aim is to reduce poverty and improve the livelihoods of indigenous peoples living in farming communities in the mountainous project area. The indigenous peoples consist of many tribes whose main economic activity is agriculture.
El propósito de esta guía es contribuir al desarrollo de las capacidades funcionales entre individuos y organizaciones que apoyan la innovación en América Latina. En la guía se ha utilizado el marco común para el desarrollo de capacidades promovido por la Plataforma de Agricultura Tropical (TAP, por sus siglas en inglés), con el fin de identificar y reforzar las capacidades funcionales clave en organizaciones e individuos.
The International Fund for Agricultural Development (IFAD) financed the second Cordillera Highland Agricultural Resource Management Project (CHARMP2), in areas where poverty is most severe among indigenous peoples in the highlands of the Cordillera Region in northern Philippines. The aim is to reduce poverty and improve the livelihoods of indigenous peoples living in farming communities in the mountainous project area. The indigenous peoples consist of many tribes whose main economic activity is agriculture.
The co-creation and sharing of knowledge among different types of actors with complementary expertise is known as the Multi-Actor Approach (MAA). This paper presents how Horizon2020 Thematic-Networks (TNs) deal with the MAA and put forward best practices during the different project phases, based on the results of a desktop study, interviews, surveys and expert workshops. The study shows that not all types of actors are equally involved in TN consortia and participatory activities, meaning TNs might be not sufficiently demand-driven and the uptake of the results is not optimal.
This training manual, which is based on a methodology developed by FAO’s Research and Extension Unit (OINR), presents a training course on assessing AIS consisting of eight modules.