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 tool helps the design of comprehensive capacity development interventions aimed at strengthening mainly functional capacities. The purpose of this tool is to provide an overview of the different options in terms of capacity development modalities that an innovation partnership can consider while developing the action plan.
The Outcome mapping factsheet provides a series of steps to gather information on the outcomes of the process initiated by capacity development for agricultural innovation. This tool provides an overview of the outcome mapping methodology used for planning and assessing projects/programmes oriented towards change and social transformation. A simplified version (three stages and 10 steps) is proposed, based on the original IDRC methodology and experiences from the application in the CDAIS project.
This tool is designed for reviewing the partnership to assess whether it is achieving the goals of the individual actors or partner organisations. It is essentially a ‘health check’ of the innovation partnership. This tool can offer an opportunity to the partners to reflect on the value of the partnership from their own organization’s perspective. It also helps to assess what-if any- changes would improve the effectiveness of the partnership and to agree as a group to any revisions to the partnership agreement taking into account the findings of the review process.
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.