The AidData Blog: The First Tranche

Editor’s Note: The following post is adapted from an AidData Working Paper — The Dragon’s Curse? China, the World Bank, and Perceptions of Corruption in Tanzania, by authors Gina Kelly, Samuel Brazys, and Johan Elkink — that has been revised and published in the Review of International Organizations

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Heidelberg University and AidData are pleased to invite submissions of one-page proposals due May 1st for papers to be presented at the workshop “Tracking International Aid and Investment from Developing and Emerging Economies,” at Heidelberg University in Germany from September 22-23, 2017.

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Pali Lehohla, Statistician-General for Statistics South Africa, closed the inaugural UN World Data Forum by charging the audience to fill data gaps, saying: “We cannot achieve what we cannot measure."

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The data revolution has a blindspot — data graveyards. (That’s where unused data goes to die). Investors and producers of development data, including AidData, know surprisingly little about what barriers prevent decision-makers from using data and evidence in their work.

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"Leaving no one behind" — the animating theme of the UN Sustainable Development Goals (SDGs) — is just as relevant to the U.S. as it is to low- and middle-income countries. This is particularly apparent in Flint, Michigan,

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Achieving sustainable development for all will require a seismic shift in how we measure progress and allocate resources. AidData already tracks who is funding what, where, and to what effect. However, increasingly we must also monitor who is benefiting from sustainable development.

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