Senior Fellow Rayid Ghani, Director of the Univeristy of Chicago's Data Science for Social Good summer fellowship, explains how infrastructure can be improved by using data to figure out what's most likely to break next. By using data from previous pipe breaks, the chance of a future pipe break can be extrapolated. Those pipes can then be replaced before they break, saving effort. 

Full coverage can be found at Politico Magazine.