Agrifood systems generate significant benefits to society, including the food that nourishes us and jobs and livelihoods for over a billion people. However, their negative impacts due to unsustainable business-as-usual activities and practices are contributing to climate change, natural resource degradation and the unaffordability of healthy diets.
In this report, food distribution is analysed within the context of food systems in Tanzania. This study looks at entry points for further studies of food system issues within the country that will affect progress towards the achievement of Sustainable Development Goal (SDG) 2. Both qualitative and quantitative methods are used, first to map and conceptualize the complexity of the food system in Tanzania, and then to quantify the likely impacts of scenarios of action and inaction.
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.
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.
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.
Many United Nations Entities are leveraging innovative approaches ranging from data, artificial intelligence, drones and the internet of things, to low-carbon technologies, climate smart agriculture and nature-based solutions to help people around the world mitigate and adapt to climate change. This compendium explores these innovative approaches leveraged in the following areas: AIR; ENERGY; FORESTS; LAND; WATER; FOOD SYSTEMS; CITIES & LIFESTYLES; GREEN ECONOMY; DISASTERS & CONFLICTS; CAPACITY STRENGTHENING; ADVOCACY.
As the United Nations faces a number of pressing issues, it is time to make innovative thinking the new normal. Developed by the UN, for the UN, this digital platform includes twenty-one tools, step-by-step directions, worksheets, case studies, references as well as a 27-question assessment which provides a diagnosis on every user’s strengths and areas for improvement.
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.
Este documento recoge los principales avances y logros de innovación de los más de ochocientos agricultores y agricultoras, “Héroes de la Alimentación”, y representantes institucionales, que participaron desde el año 2018 en el proyecto “Desarrollo de Capacidades para Sistemas de Innovación Agrícola en El Salvador” (CDAIS, por sus siglas en inglés).
La participación de los pequeños productores en procesos de investigación asociados a los sistemas productivos agrícolas ha sido difícil de lograr. Por esto el objeto de la presente investigación fue el de lograr la vinculación de pequeños productores de yuca (Manihot esculenta Crantz) a procesos de investigación en la región caribe de Colombia. Por lo anterior, se implementaron ensayos de campo en los que se empleó un método de investigación participativa a través de modelos integrados de producción.