Last week, I had the honor of receiving one of the World Bank's FY15 Big Data Innovation Challenge awards for a proposal developed with a team of researchers from within and outside of the Bank. To give you a snapshot of the project, let me recount a familiar story which you may not have thought about for a while. On December 17th, 2010, a Tunisian fruit vendor named Mohammed Bouazizi took a can of gasoline and set himself on fire in front of the local governor's office. Bouazizi’s actions resulted from having his fruit cart confiscated by local police and his frustration at not obtaining an audience with the local governor; his death sparked what we now know as the "Arab Spring." With no other means of voicing discontent and lack of trust, citizens can embrace extreme forms of protest against institutions and governments that quickly escalate.
About a month ago two colleagues (Greg Kisunko and Steve Knack) posted a blog on “The many faces of corruption in the Russian Federation”. Their post, based on the elegant analysis of the 2011/2012 Russian BEEPS, underscores a point that many practitioners and researchers are now beginning to appreciate because of the availability of new, disaggregated data: corruption is not a homogenous phenomenon, but rather a term that encompasses many diverse phenomena that can have profoundly different impact on the growth and the development of a country. If we delve deeper into this disaggregated data, we observe that within the same country can coexist significantly different sub-national realities when it comes to the phenomenon we label “corruption”.