Aleem Walji's blog
What would it take to accept that most of the problems we encounter in development require listening better to end-users, learning about technical and political obstacles, and an ability to course correct when conditions change? That requires flexibility, faster response times, and treating beneficiaries as partners in solving complex problems.
I recently blogged on the difference between complicated and complex systems: the importance of identifying each to solve problems and particularly to scale solutions. What follows is a brief description of what makes a system complicated or complex and why it matters.
|Goal||Optimal solution||Good enough to learn from and adjust|
|Focus on||All the details||Potential side effects|
- development knowledge
I recently had an opportunity to listen to retired army Colonel, Casey Haskins talk about what he learned about winning hearts and minds. Our conversation crossed strategy, history and eventually physics as he explained how states of matter relate to systems change. Understanding whether matter is solid, liquid, gas, or plasma greatly affects how you interact with it and ultimately how you can change it.
So what does this have to do with scale, global development and solving the world’s hardest problems? Quite a lot, I think. The four states of matter correspond to complex social systems.
Dave Snowden’s research describes problems or systems as either (i) simple - in which the relationship between cause and effect is obvious and we can generate best practice; (ii) complicated – in which the relationship between cause and effect requires expert knowledge and good practice; (iii) complex – in which the relationship between cause and effect can only be perceived in retrospect and we use emergent practice; and (iv) chaotic – in which there is no relationship between cause and effect.
Aleem Walji, director of the World Bank’s Innovation Labs, recently gave an interview to Forbes and the Skoll World Forum on all things innovation and development. This blog post highlights some of the key points from that interview.
When I joined the World Bank at the end of 2009, I was asked how we could more systematically support innovation. We started by building on the Bank’s own “access to information” policy, which was foundational for our Open Data initiative. When we made our data available to the world in a machine-readable format, searchable, and reusable, back in April 2010, people came in droves. Within months, we had more traffic to our data catalogue than the World Bank homepage.
Another powerful insight we had was to link maps through “Mapping for Results” with poverty data and project results to show the relationship between where we lend, where poor people live, and the results of our work. While it may sound simple or obvious, even today development partners struggle to map the relationship between projects they fund and poverty indicators in a given country. We quickly realized the value of “mapping aid” and making aid data transparent and comparable. The Open Aid Partnership grew out of that impulse.
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.
- Korea, Republic of
- Climate Change
- Labor and Social Protection
- Private Sector Development
- Science of Delivery
- world bank
- Korea Development Institute
- The Gates Foundation
- Grameen Foundation
- Dartmouth Center for Health Care Delivery Science
- mHealth Alliance
- health care
- World Bank Institute