DataDive

Tackling Big Questions on Climate and Gender: DataKind Partners with International Monetary Fund on Virtual DataDive Event

What types of structures within our built environment are most exposed to climate risks? How can we identify them and measure their financial and economic values? Where and which types of structures need to be made energy-efficient to mitigate climate change? And what are the distributional impacts of tax policies and price changes on women …

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Using Satellite Imagery to Generate Awareness and Funds for Refugees

At a 2017 DataDive presented by USA for UNHCR, #GivingTuesday and the Bill & Melinda Gates Foundation, a team of DataKind volunteers led by Evelyn Lang, Ravin Pierre, and Friederike Schüür worked alongside Rita Ko and Franck Mujyanama of USA for UNHCR to see how emerging technologies like data science and newly available data sources might be leveraged to help the organization raise awareness and showcase the refugee experience to inspire more donors to give.

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