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Using Big Data to transform the poverty conversation: a Small Area Estimation approach

Social protection programs and appropriate policy are impactful drivers of poverty reduction but they need up-to-date, comprehensive and accurate data in order to effectively tackle the causes of poverty. Here we talk about advanced statistical techniques using Big Data to generate granular poverty estimates at a much lower cost and more frequently than ever before, enabling more dynamic conversations to help end extreme poverty.

The peace predicament: How to make a meaningful impact on extreme poverty in a world of conflict

“There can be no sustainable development without peace and no peace without sustainable development”, the UN 2030 agenda for Sustainable development asserts.

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Temperature variability as a driver of poverty in low- and middle-income countries

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Ending extreme poverty in a changing climate