Category: Partners
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Time series for country-level childhood wasting estimates that account for seasonality
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SEASNUT explores how to produce a time series of childhood wasting estimates that account for seasonality
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Jameel Observatory seeks PhD proposals for research on food security early action
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The Jameel Observatory for Food Security Early Action seeks proposals for two fully funded PhD positions at the University of…
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Introducing Jameel Observatory student – Puff Ray Mukwaya
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Puff Mukwaya was a MSc student at the University of Edinburgh’s College of Medicine and Veterinary Medicine
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Introducing Jameel Observatory student – Michael Renfrew
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Michael Renfrew is a PhD student at the University of Edinburgh’s School of Mathematics, and the Satellite Data in Environmental…
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Understanding anticipatory action in food crises
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Save the Children UK commissioned research services to understand anticipatory action in a food crisis
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Early action gets aid to communities before the vultures arrive
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Guyo Roba, Gary Watmough, and Stephen Mutiso of the Jameel Observatory explain how they aim to enhance drought preparation through…
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Partnerships and data central to Jameel Observatory’s strategy
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In this podcast, Alan Duncan, Guyo Roba and Gary Watmough explain how data and partnerships drive the Observatory’s work
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How livestock data can counter food and climate shocks
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A Livestock Data for Decisions community meeting examined ways to enhance the contributions of livestock data to counter food and…
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Producing time series data on childhood wasting
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Jameel Observatory is partnering with the Data for Children Collaborative and UNICEF to support an impact collaboration to produce a…
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Using geospatial data to estimate human livelihoods and poverty can help guide priorities
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This post introduces ways that geospatial data is used to help assess and target where to allocate resources.
Categories
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Components
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- Research (103)
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Format Focus
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Issues
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Partners
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- FAO (5)
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- University of California (2)
- University of Edinburgh (57)
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People
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Regions
- Africa (30)
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Themes
- Forecasting Data (24)
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