Author Archives: aiddata

When does multilateral development finance provide better value-for-money?

As nationalist forces take hold in the U.S. and Europe, policymakers are asking fundamental questions about the value of multilateral institutions that provide development finance. Do these institutions provide good value-for-money? What are their comparative strengths and weaknesses? How do they compare to their bilateral counterparts?

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Fanning the sparks of corruption? A Chinese dragon haunts Tanzania

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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Call for Proposals: Workshop on tracking international aid from emerging economies

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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Data for development: Measuring only what we use

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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Avoiding Data Graveyards: How can we overcome barriers to data use?

Development practitioners track mortality rates for scourges like HIV/AIDS, and malaria. But nobody tracks the mortality rate of data. Photo by Christian Maurer/Fotolia.The data revolution has a blindspot — data graveyards. (That’s where unused data goes to die.) Investors and producers of development data, including AidData,

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No one left behind: Why we need granular data to respond to hotspots in the U.S. and beyond

“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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Counting the “missing millions”: disruptive ideas to leave no one behind

Samantha Custer, Director of Policy Analysis for AidData, (second from right) moderates a panel discussion on ‘The “Missing Millions” and Data Collaboratives’ in Cape Town, South Africa during the 2017 UN World Data Forum.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,

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What are development corridor strategies, and do they work?

Across large swaths of the developing world, a new trend is taking hold: governments are targeting public and private investments in specific geographic areas in the hopes of creating spatial “

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Chinese-funded infrastructure in endangered forests: What is the data telling us?

The first Chinese-backed railway, Tazara Rail (pictured above), was funded in the 1970s. Now China has agreed to help Tanzania build a new 2,561km railway worth USD 7 billion that will run between the Tanzanian port of Dar es Salaam and the Great Lakes states of Rwanda and Burundi.

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Want to reform aid? Double down on impact evaluations

Washington is abuzz with talk of how the Trump administration might try to reform U.S. foreign assistance programs (see here and here). If they want to find legislative allies and avoid inter-agency gridlock, focusing more internal resources on evaluation — in particular,

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AidData launches new Listening to Leaders survey

Which development partners do leaders prefer to work with, and why? Do leaders in low- and middle-income countries perceive development partner priorities as aligned with their own? Are development partners effectively supporting progress towards the global goals and national priorities?

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Is governance data “good enough”? World leaders want more transparency, greater context

In a new report launched last month with the Governance Data Alliance (GDA), AidData presented the results of a 2016 snap poll that asked 3,000+ public, private, and civil society leaders from 126 low- and middle-income countries to share their views on the use and usefulness of governance data in their work. Two insights rose above the rest:

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Using machine learning to combat environmental degradation on a global scale

Leveraging machine learning algorithms to sift through terabytes of high-resolution satellite data, a new report by AidData and the World Bank has for the first time identified the factors that contribute to land degradation on a global scale.

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Rating the 2016 project performance disclosure practices of 50 donors

Despite the fact that most major funders of overseas development projects are now signatories to major transparency initiatives like IATI and the Open Government Partnership, only two donors systematically publish standardized project performance ratings (see how the donors fared, below).

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