predictive government

U.S. cities form working group to share predictive data analytics skills

Yesterday, I published an interview with Michael Flowers, New York City’s director of analytics for the Office of Policy and Strategic Planning in Mayor Bloomberg’s office. In the interview, “Predictive data analytics is saving lives and taxpayer dollars in New York City,” Flowers talks about how his team of 5 is applying data analysis on the behalf of citizens to improve the efficiency of processes and more effectively detection of crimes, from financial fraud to cigarette bootlegging.

After our interview, Flowers followed up over email to tell me about a new working group on data analytics between New York City, Boston, Chicago and Philadelphia. The working group, which recently launched a website at www.g-analytics.org, is sharing methodologies, ideas and strategies,

“Ultimately we want the group to grow and support as many cities interested in pursuing this approach as possible,” wrote Flowers. “It can get pretty lonely when you pursue something asymmetrical or untraditional in the government space, so we felt it was important to make it as simple as possible for like-minded cities to get started. There’s a great guy I work closely with out in Chicago on this effort – [Chicago chief data officer] Brett Goldstein; we talk at least twice a week.”