ENTRIES TAGGED "public good"
Predictive analytics, code sharing and distributed intelligence could improve criminal justice, cities and response to pandemics.
If you’re going to try to apply the lessons of “Moneyball” to New York City,’ you’ll need to get good data, earn the support of political leaders and build a team of data scientists. That’s precisely what Mike Flowers has done in the Big Apple, and his team has helped to save lives and taxpayers dollars. At the Strata + Hadoop World conference held in New York in October, Flowers, the director of analytics for the Office of Policy and Strategic Planning in the Office of the Mayor of New York City, gave a keynote talk about how predictive data analytics have made city government more efficient and productive.
While the story that Flowers told is a compelling one, the role of big data in the public sector was in evidence in several other sessions at the conference. Here are three more ways that big data is relevant to the public sector that stood out from my trip to New York City.
Michael Flowers explains why applying data science to regulatory data is necessary to use city resources better.
A predictive data analytics team in the Mayor's Office of New York City has been quietly using data science to find patterns in regulatory data that can then be applied to law enforcement, public safety, public health and better allocation of taxpayer resources.
From healthcare to finance to emergency response, data holds immense potential to help citizens and government.
The explosion of big data, open data and social data offers new opportunities to address humanity's biggest challenges. The open question is no longer if data can be used for the public good, but how.