Scenes from the DC big data dive - the final report
The final report from the Big Data for International Development DataDive came out a few days ago (see below) and the obvious question is what's next? Sure, the DataDive was a success in terms of the number and caliber of people that participated, the ambition and scope of the problems they worked on (mostly around better/faster/cheaper poverty measurement, and more effective/proactive fight against fraud and corruption), and the results that were achieved in a very short span of time (showing fairly conclusively that big data based approaches can be effectively applied in the context of international development). The report itself points out a few next steps (a data competition, specific action items against each project that the teams worked on, the need to embrace new types of data skills and techniques, and continued effort to open new and more diverse data from both private and public sources) but here is a look at some other themes that emerged during the dive that are probably also worth thinking about -






