NY city teams with data science researchers to help predict, prevent water main breaks

Syracuse hopes University of Chicago fellows can help the city develop a model to predict which parts of its water infrastructure are most likely to fail. From left: Data Science for Social Good project manager Chad Kenney and fellows Benjamin Brooks and Syed Ali Asad Rizvi study Syracuse water data during a visit to the city in July. (Courtesy of the University of Chicago) Syracuse, New York, is trying to use data analytics to cut down on the hundreds of water main breaks the city deals with each year, teaming up with a group of student researchers to study why the pipes fail and how they can proactively repair them. The city is working with the University of Chicago’s “Eric and Wendy Schmidt Data Science for Social Good” fellowship program this…


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