Earlier this spring, I had a chance to talk to Mark Dybul, the head of the Global Fund to Fight AIDS, TB, and Malaria and former administrator of PEPFAR, the U.S. bilateral AIDS program. At the time, he expressed optimism about using geo-referenced data on HIV/AIDS prevalence to better to target AIDS foreign assistance. In advance of the recent AIDS conference in Australia, researchers (which include Dybul) released a new study in The Lancet ($) that modeled that potential in Kenya by focusing on the hot spots of high HIV/AIDS prevalence (see above East Africa map, purple represent high prevalence levels). Dybul’s comments were music to my ears. For the past year, I’ve been part of the AidData Research Consortium’s project (ARC) to develop sub-national foreign assistance data. Already that project has worked to help geo-reference World Bank, African Development Bank and Asian Development Bank projects as well as foreign assistance from all donors in a number of countries. As many of you know, I’ve been part of climate vulnerability mapping for the better part of five years through my work on Africa through the Minerva Initiative and the CCAPS program at the Strauss Center. This fall we will embark on a new Minerva project to look at disaster vulnerability and complex emergencies in South and Southeast Asia. In this post, let me say a few more words on the importance of data granularity and aid targeting. Continue reading

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