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Atlanta Fire Rescue partnered with Georgia Tech through the national Data Science for Social Good (DSSG) initiative to leverage the power of data science to identify a risk-based prioritized list of commercial properties that had fallen through the bureaucratic cracks and should be inspected.  The group of students quickly learned the ins-and-outs of the fire inspection and code enforcement process and were able to develop an open source analytical tool to identify un-inspected properties that share characteristics with currently inspected properties and a risk model that can predict the actual fire risk of the commercial property to help prioritize which building should be inspected first.