Confidentiality and Data Access: Webinar Series

The Federal Committee on Statistical Methodology and Council of Professional Associations on Federal Statistics are hosting an eight-session webinar series on confidentiality and data access. The series will be held on selected Thursday afternoons from 3 to 4:30 p.m. ET from June through October.

Registration is now open to Federal Committee on Statistical Methodology registrants for the sixth webinar in the series. This webinar will consist of a panel discussion on “Advances in Disclosure Avoidance.” It will take place on Thursday, September 17 at 3 p.m. ET. 

There is no charge for this event or subsequent webinars in this series.  Registration is required to receive login information and will be limited to the first 198 registrants.  The discussion will be recorded and available after the event on the COPAFS website.

The organizer for the session is Harrison Quick of Drexel University witht eh session chair Monika Hu of Vassar College. the discussant for the session will be Discussant: Tom Krenzke from Westat. Topics to be addressed are:

Incorporating Economic Conditions in Synthetic Microdata for Business Programs: A Case Study | Katherine Jenny Thompson, U.S. Census Bureau

Risk-Efficient Bayesian Data Synthesis for Privacy Protection | Terrance Savitsky, Bureau of Labor Statistics

Comparative Study of Differentially Private Synthetic Data Algorithms and Evaluation Standards | Joshua Snoke, RAND

Generating Poisson-Distributed Differentially Private Synthetic Data | Harrison Quick

You can register for the webinar here:

If you are unable to access Google Forms from your computer, please send an email to to register. Include your Name, Organization, and Email Address in the message.

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