This brochure presents the five-year TAP-AIS project (2019-2024) funded by the European Union under the DeSIRA Initiative and implemented by the Food and Agriculture Organization (FAO) of the United Nations. The project has the main objective to strengthen capacities to innovate in national agricultural innovation systems (AIS) in the context of climate-relevant, productive, and sustainable transformation of agriculture and food systems in Africa, Latin America, Asia and the Pacific.
This policy brief presents a methodology for assessing agricultural innovation systems (AIS), developed and pilot tested by the Food and Agriculture Organization of the United Nations (FAO) in the context of the Tropical Agriculture Platform, a G20 initiative to develop capacities for agricultural innovation in the tropics supported by the European Union. Using participatory, multi-stakeholder methods and tools, the assessment of a country’s AIS take stock of enabling and hindering factors in innovation processes, identifies gaps and challenges, and advices on ways to strengthen the AIS.
In Lao People's Democratic Republic (PDR), agricultural innovation has the potential to improve livelihoods of farmers and rural people, improve food and nutrition security, and allow for sustainable management of natural resources. In order to enable innovation, a well-functioning national Agriculture Innovation System (AIS) should encourage better coordination among the different stakeholders, including national organizations and the private sector.
Cambodia’s development is strongly influenced by growth in the agriculture sector. In this context, the modernization of agriculture has been highly regarded by the government as a long-term strategy to transform traditional labour-based agriculture into technology-based and with that to effectively enhance the country’s further regional integration within the Association of Southeast Asian Nations. In support of this strategic vision, a participatory assessment of the Agricultural Innovation Systems (AIS) was conducted in coordination with the General Department of Agriculture (GDA) and su
The Food and Agriculture Organization of the United Nations (FAO) has developed a web-based Rift Valley fever (RVF) Early Warning Decision Support Tool (RVF DST), which integrates near real-time RVF risk maps with geospatial data, historical and current RVF disease events from EMPRES Global Animal Disease Information System (EMPRES-i) and expert knowledge on RVF eco-epidemiology.
The experiences shared in this book of Conversations of Change capture the outcomes of three years’ work conducted by the eight CDAIS country teams from Angola, Bangladesh, Burkina Faso, Ethiopia, Guatemala, Honduras, Laos and Rwanda. Collected between January and March 2019, they provide insights and perspectives of different actors engaged in the different capacity strengthening processes, within individuals and innovation niche partnerships, and at organisational and national level.
FAO Eritrea, in partnership with the Ministry of Agriculture is implementing the national component of a global project entitled “Developing capacity in Agriculture Innovation System project: Scaling up the Tropical Agriculture Platform Framework”.
Le projet "Renforcer les capacités des systèmes d'innovation agricole: application et adaptation de l’approche de la plateforme d'agriculture tropicale (TAP-AIS)" vise à stimuler l'innovation pour la transformation des systèmes agricoles et alimentaires des pays partenaires en vue de mieux résister aux effets du changement climatique. Il intéresse ainsi le public technique ou pas, les jeunes et les media.
Dans de nombreux pays, les décideurs ont besoin d'informations pertinentes sur les systèmes d'innovation agricole (SIA) pour guider la formulation des stratégies et des instruments politiques de soutien à l'innovation.
In this 90-minute webinar, Illuminating Hidden Harvests experts and authors share the rationale and methods behind the initiative and some of the progress and results so far. It includes a moderated roundtable discussion on how to leverage the methods, information and results from the IHH study towards improved policy decision making and in-country capacity for inter-disciplinary data collection and analysis.