This talk is hosted by MITRE Corporation.
Participants include John Abowd, Larry Cox, Jerry Reiter and Saki Kinney.
The government is under increasing pressure to “do more with less.” Yet agencies’ ability to do the analysis required to make more effective and efficient management decisions is hampered by restrictions that limit access to the data needed to drive the analysis. High-quality synthetic data (artificial data derived from actual data that is devoid of personal identifiable information and for all practicable purpose behaves statistically like the original data) provides the government an opportunity to share its data with a much broader community of analysts without a disclosure risk and thus to significantly expand the range and volume of analysis that can inform government actions. Further, synthetic data technology can be used to merge multiple sources (e.g., to create cross-agency data) and types of data (e.g., health, financial, infrastructure), thereby providing a richer and more complete set of data needed to analyze the complex problems facing government agencies.
This one-day technical exchange meeting will include an overview of synthetic data technology and its use, and technical approaches for creating high-quality synthetic analytic datasets.