Politico Magazine features the Data Science for Social Good project with the City of Syracuse using data to predict water main breaks so that the city can make proactive repairs rather than responding to catastrophe.
In recent years, city and local governments have increasingly used data to discover innovative new ways to improve their operations and serve their citizens. But the spread of these solutions between and within cities has been limited by obstacles including lack of replicability, resources, and technical expertise.
While Data Science for Social Good sorts through nearly 900 applications for their 2016 summer fellowship, their 2015 projects continue to attract interest. Last week, the Charlotte Observer profiled DSSG's collaboration with the Charlotte-Mecklenburg Police Department, using data on officers, arrests, dispatches, and other sources to help predict negative interactions between police officers and the public.
Scientific American looked at the Data Science for Social Good fellowship project that seeks to evaluate and improve police department early warning systems for predicting officer behavior and adverse incidents. Another DSSG project, using predictive analytics to fight lead poisoning, was also recently featured in the Chicago Tribune.