Using government analytics to identify fraud and noncompliance—Podcast

Learn how researchers at MIT are combining various forms of data with government analytics to identify patterns of fraud and noncompliance.

Government analytics is evolving to help public service organizations combine and analyze large volumes of data, enabling them to be more proactive in dealing with fraud and delivering public service for the future.

In this podcast, Martin Benison, Comptroller of the Commonwealth of Massachusetts, discusses how graduate students at the Massachusetts Institute of Technology (MIT) are combining geospatial data with government analytics to identify patterns of activity that are likely to lead to financial fraud and noncompliance.

This podcast was recorded at the National Association of State Comptrollers (NASC) Annual Conference held in Reno, NV on March 13, 2014.

Listen to other podcasts in this series:

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