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CDAC: 2017 Workshop on New Advances in Disclosure Limitation Final Report
 CDAC: 2017 Workshop on New Advances in Disclosure Limitation Final Report Bureau of Labor Statistics Conference Center • Rooms 9 & 10 Postal Square Building 2 Massachusetts Ave., NE • Washington, DC 20212-0001 September 27, 2017  8:00 – 9:00 Registration 9:00 Welcome — Michael Hawes, Chair, CDAC 9:10 – 10:00 Disclosure Avoidance Policy: Governance 9:10 IRBs and the Federal Wide Assurance Program | PDF  Jaime O. Hernandez, U.S. Dept. of Health and Human Services 9:40 What would a Federal Wide DRB Assurance Look like? A moderated Q&AJaime O. Hernandez, U.S. Dept. of Health and Human Services
  Michael Hawes, U.S. Department of Education, Moderator 10:00 – 10:15 Break 10:15 – 11:45 Disclosure Avoidance Policy: Differential Privacy 10:15 Differential Privacy: A Primer for a Non-technical Audience | PDF  Kobbi Nissim, Georgetown University, Alexandra Wood, Harvard University 10:45 Differential Privacy and the 2020 Census | PDF  Simson L. Garfinkel, U.S. Census Bureau 11:15 Differential Privacy and the Federal Statistical Community? A moderated Q&AKobbi Nissim, Georgetown University
  Alexandra Wood, Harvard University
  Simson L. Garfinkel, U.S. Census Bureau
  Darius Singpurwalla, National Science Foundation, Moderator 11:45 – 12:45 Lunch (on your own) 1:00 – 3:00 Advances in Disclosure Limitation Techniques 1 1:00 Can a Synthetic Data Approach Applied to High Risk Data Result in Usable Data with a Very Low Risk? Application to the Federal Employee Viewpoint Survey. | PDF  Taylor Lewis, U.S. Office of Personnel ManagementTom Krenzke, Westat 1:30 Data Hierarchies in Support of Disclosure Limitation Chris Clifton, Purdue University,
  Shawn Merrill, Purdue University,
  Keith Merrill, Brandeis University,| PDF 2:00 Imputation as a Practical Alternative to Data Swapping, | PDF  Saki Kinney, RTI International 2:30 Measuring Identification Risk in Microdata Release and its Control by Post-randomization | PDF Cheng Zhang, George Washington University 3:00 – 3:15 Break 3:15 – 4:45 Advances in Disclosure Limitation Techniques 2 3:15 Synthetic Data for the American Community Survey | PDF  Rolando Rodríguez, U.S. Census Bureau 3:45 Evaluating the Consumer Expenditure Data Top-Coding Effects on Economic Models | PDF  Daniel Yang, U.S. Bureau of Labor Statistics 4:15 Multivariate spatiotemporal modeling with applications to stroke mortality and data privacy | PDF  Harrison Quick, Drexel University 4:45 – 5:30 Town Hall and Closing Discussion 4:45 Where should we go from here?Michael Hawes, U.S. Department of Education, Moderator,
  Simson L. Garfinkel, U.S. Census Bureau,
  Darius Singpurwalla, National Science Foundation


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