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Science of Delivery

Learning from Data-Driven Delivery

Aleem Walji's picture
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Given confusion around the phrase “science of delivery,” it’s important to state that delivery science is not a “one-size-fits-all” prescription based on the premise that what works somewhere can work anywhere. And it does not profess that research and evidence ensure a certain outcome.
 
A few weeks ago, the World Bank and the Korea Development Institute convened a global conference on the science of delivery. Several development institutions assembled including the Gates Foundation, the Grameen Foundation, UNICEF, the Dartmouth Center for Health Care Delivery Science, and the mHealth Alliance. We discussed development opportunities and challenges when focusing on the extremely poor, including experiments in health care, how technology is reducing costs and increasing effectiveness, and the difficulty of moving from successful pilots to delivery at scale.
 
The consensus in Seoul was that a science of delivery underscores the importance of a data-driven and rigorous process to understand what works, under what conditions, why, and how. Too often in international development, we jump to conclusions without understanding counterfactuals and assume we can replicate success without understanding its constituent elements.

What Is Science and What Is Delivery?

Aleem Walji's picture

Having just returned from Dartmouth and meetings with the Center for Health Care Delivery Science, I’ve been thinking about the phrase “Delivery Science.” World Bank Group President Jim Yong Kim’s use of the term in recent speeches is related to using evidence-based experimentation to improve poor health, education, water, and basic service outcomes in the developing world.

Reflecting on this, I think, in many ways, “science” and “delivery” are distinct and need to be understood as different but reinforcing principles. So let’s break it down.