Enumerators in the Comoros Islands are trained on the use of RHoMIS. They also give valuable input into how the data collection tool can be suited to the local context.
By January 2019, the Rural Household Multiple-Indicator Survey (RHoMIS) had been used to process data from over 21,000 rural households in 27 countries. Since inception, RHoMIS has seen rapid exponential increase in the number of households being interviewed.
Originally posted on Mazingira Centre:
The socio-economic conditions of Africa have continued to undergo massive and rapid transformation due to factors such as urbanization and population growth. The adverse effects of climate change on the continent have also intensified, necessitating the design of context-specific strategies to ensure food security and environmental sustainability. In this regard,…
A data revolution is quietly unfolding in sub-Saharan Africa and empowering sustainable development and resilience for a new generation of policymakers.
Variability in crop and pasture, whether caused by weather, natural disaster, pests and diseases, or political conflict, is arguably the greatest threat to resilience and food security in the Horn of Africa. At the same time, the building blocks of national statistical systems are weak and data challenges are a crushing reality in Africa.
To address this problem, a growing number of analysts are tackling so-called informational wastelands through open-access global and household datasets, pseudo-panels, spatial data analytics and communities of practice.
New paper explores use of long-term climate information in decision making | CCAFS: CGIAR research program on Climate Change, Agriculture and Food Security.
The International Livestock Research Institute (ILRI), the Food and Agriculture Organization of the United Nations (FAO), the Environmental Research Group Oxford (ERGO), the University of Oxford and the Université Libre de Bruxelles (ULB) joined forces to map the global distribution and abundance of livestock. These new datasets are freely accessible through a Livestock-Geo-Wiki, a site maintained by our collaborators at the International Institute for Applied Systems Analysis (IIASA).