While inroads have been made in many countries, some of the challenges that arise when opening, consuming and sharing data in fragile states and situations are similar to those arise in any context. In many countries, data scarcity, quality of source, and data capacity and literacy make it difficult to not only publish data, but also make it accessible to broad audiences.
The following additional challenges (and in some cases, solutions) come to light in the fragile context:
data fueling 'smart cities,' citizen engagement in planning and budgeting, public transparency and accountability, entrepreneurship (even without open data), and more.
These show the promise of open data, which doesn’t come easy in stable governments. But how does open data play out in the context of fragile states and conflict situations?
Last year, we asked ourselves these questions and reached out to the aid community.
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”.