DOT harnesses machine learning for regulations –

DOT harnesses machine learning for regulations –


DOT harnesses machine learning for regulations

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The Department of Transportation has built a machine-learning and data analytics-backed dashboard that helps its legal staff manage its vast field of regulatory data, the agency’s chief data officer said.

In one of its latest projects leveraging big data, DOT turned machine learning and big data analytics on regulatory data, CDO Daniel Morgan said in remarks at an AFCEA Bethesda breakfast on Dec. 17.

“You all know the Federal Register takes a snapshot of federal regulation on an annual basis, which means you can parse it and create statistics for your lawyers so they can understand complex regulations — such as which have the most conditions or the most exceptions,” he said.

The capability, he said, was requested by the agency’s lawyers who deal with the huge volume of regulations, including those from component agencies charged with regulating vehicles, drivers, public transportation systems, highways, railroads, pipelines and hazardous materials transport.

To create the dashboard, said Morgan, the agency combined cloud services, a data visualization tool and “a little elbow grease.”

The dashboard also incorporated open source software from the Mercatus Center, George Mason University’s market-oriented policy and regulatory think tank, Morgan said in remarks after his presentation. The dashboard, he said, could be adapted to a few other agencies that have heavy regulatory compliance burdens.

About the Author

Mark Rockwell is a senior staff writer at FCW, whose beat focuses on acquisition, the Department of Homeland Security and the Department of Energy.

Before joining FCW, Rockwell was Washington correspondent for Government Security News, where he covered all aspects of homeland security from IT to detection dogs and border security. Over the last 25 years in Washington as a reporter, editor and correspondent, he has covered an increasingly wide array of high-tech issues for publications like Communications Week, Internet Week, Fiber Optics News, magazine and Wireless Week.

Rockwell received a Jesse H. Neal Award for his work covering telecommunications issues, and is a graduate of James Madison University.

Click here for previous articles by Rockwell. Contact him at or follow him on Twitter at @MRockwell4.


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