A winner of the 2019 Big Data Platform Inspire challenge uses commercial microwave links to estimate rainfall & help design better index insurance in developing countries. Read more.
Household dynamics in pastoral communities and implications for humanitarian aid interventions
For many humanitarian and development actors, the household (HH) is presumed to represent the most appropriate social unit for aid delivery. However, scholars argue that it fails to represent the complex structures of the pastoralist family and living arrangements, and the temporal and spatial dynamics and variabilities of these including the place of HHs within […]
Integrating climate prediction and regionalization into an agro-economic model to guide agricultural planning
Advanced skill in seasonal climate prediction coupled with sectoral decision models can provide decision makers with opportunities to benefit or reduce unnecessary losses. Such approaches are particularly beneficial to rainfed agriculture, the livelihood choice for the majority of the world’s poor population, for which yields are highly sensitive to climate conditions. However, a notable gap […]
Teff Value Chain in Ethiopia: Producer/Household Survey
The producer/household survey was conducted to study teff value chains in order to make recommendations to policymakers on how to improve the value chain for farmers, wholesalers, retailers, and consumers in Ethiopia. The data collected in this survey helps to understand how the teff value chains are transforming in terms of quality and demand of […]
Coffee Value Chain Survey in Ethiopia: Producer/Household Survey
The coffee producer survey was conducted to study the coffee value chains in order to make recommendations to policymakers on how to improve the value chain to the benefit of farmers. The data collected in this survey helps to understand how the coffee value chains are transforming in terms of quality and demand of coffee, […]
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