Skip to Main Content
Access your saved content
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.
Download Podcast Transcript [PDF, 172KB] PDF Help
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:
Risky Business: Massachusetts Enforcing Compliance with Government Analytics—Podcast
Reining In Fraudsters Using Predictive Government Analytics—Podcast
Key Competencies to Consider When Hiring Government Analytics Staff—Podcast
The Role of “Moneyball” in the Management Trend of Government Analytics—Podcast
Predicting Results with Government Analytics to Better Serve Citizens—Podcast
Washington and New York City: Case Studies for Government Analytics Success—Podcast
July 24, 2014
Skip Footer Links