Data Privacy Protection and the Conduct of Applied Research: Methods, Approaches and their Consequences

Ruobin Gong, V. Joseph Hotz, and Ian M. Schmutte, Organizers

May 16-17, 2024

InterContinental Washington D.C. - The Wharf, 801 Wharf Street SW in Washington D.C.

Thursday, May 16
	Continental Breakfast
9:00 am	Survey Methodologies
	Jeremy Seeman, University of Michigan Yajuan Si, University of Michigan Jerome P. Reiter, Duke University Differentially Private Population Quantity Estimates via Survey Weight Regularization
	Jörg Drechsler, Institute for Employment Research James Bailie, Harvard University Whose Data Is It Anyway? Flavors of Differential Privacy for Survey Sampling
	Evan S. Totty, U.S. Census Bureau Thor Watson, U.S. Census Bureau Statistical Disclosure Limitation and Total Survey Error
10:15 am	Break
10:45 am	Synthetic Data and Alternatives
	Minsun Riddles, Westat Wan-Ying Chang, National Science Foundation Angela Chen, Westat Robyn Ferg, Westat Thomas Krenzke, Westat Lin Li, Westat Natalie Shlomo, University of Manchester Medha Uppala, Westat Select Synthetic Data Generation Methods Toward a Public Use File for a Longitudinal Survey (slides)
	Marcel Neunhoeffer, Institute for Employment Research Jörg Drechsler, Institute for Employment Research Jonathan P. Latner, Institute for Employment Research On the Formal Privacy Guarantees of Synthetic Data (Generated without formal Privacy Guarantees) (slides)
	Lars Vilhuber, Cornell University Using Containers to Validate Research on Confidential Data (slides)
	Amy O'Hara, Georgetown University Barry Johnson, Internal Revenue Service Paul Arnsberger, Internal Revenue Service Stephanie Straus, Georgetown University Ron Borzekowski, Yale University Exploring Improved Access to Individual Income Tax Data for Evidence-Building
12:25 pm	Lunch
1:40 pm	Privacy Compliance
	Ryan Steed, Carnegie Mellon University Alessandro Acquisti, Carnegie Mellon University Adoption of 'Privacy-Preserving' Analytics: Drivers, Designs, & Decoupling
	Bernhard Ganglmair, ZEW Mannheim Julia K. Krämer, Erasmus University Rotterdam Jacopo Gambato, University of Mannheim Regulatory Compliance with Limited Enforceability: Evidence from Privacy Policies
2:30 pm	Break
3:00 pm	Discussion Session I - Data Governance
	Pierre Desrochers, Statistics Canada Eric Rancourt, Statistics Canada Navigating the Privacy Landscape: Harmonizing Legislative and Public Sector Approaches in the Canadian Context
	Michael B. Hawes, U.S. Census Bureau Rolando A. Rodriguez, U.S. Census Bureau Matthew Spence, U.S. Census Bureau Towards a Principled Discussion about Disclosure Avoidance: Identifying the Characteristics of an Ideal, Applied Disclosure Avoidance System (slides)
	Ramon Abraham A. Sarmiento, Bangko Sentral ng Pilipinas The Realities of Disclosure Risks in the Age of Dark Patterns and Big Data
	Fernando Stipanicic, University of Oslo Abhishek Nagaraj, University of California, Berkeley and NBER Matteo Tranchero, University of Pennsylvania U.S. Census Data in Economic Research: Adoption, Diffusion and Impact
5:00 pm	Adjourn/Reception
6:00 pm	Dinner
Friday, May 17
8:30 am	Continental Breakfast
9:00 am	Formal Privacy Techniques
	Shurong Lin, Boston University Elliot Paquette, McGill University Eric Kolaczyk, McGill University Differentially Private Linear Regression with Linked Data
	Zeki R. Kazan, Duke University Jerome P. Reiter, Duke University Bayesian Inference Under Differential Privacy: Prior Selection Considerations with Application to Univariate Gaussian Data and Regression
	Aaron R. Williams, Urban Institute Andrés F. Barrientos, Florida State University Joshua Snoke, RAND Corporation Claire Bowen, Urban Institute Benchmarking DP Linear Regression Methods for Statistical Inference
10:15 am	Break
10:45 am	Utility and Privacy in Design
	Nathan Yoder, University of Georgia Ian M. Schmutte, University of Georgia Information Design for Differential Privacy
	Elan A. Segarra, U.S. Bureau of Labor Statistics Estimating Preferences Over Data to Inform Statistical Disclosure Control Decisions
	Kevin He, University of Pennsylvania Federico Echenique, University of California, Berkeley Screening P-Hackers: Dissemination Noise as Bait
12:00 n	Lunch
1:00 pm	Discussion Session II
	Trivellore Raghunathan, University of Michigan V. Joseph Hotz, Duke University and NBER A Roadmap for Disclosure Avoidance in the Survey of Income and Program Participation SIPP
	Jerome P. Reiter, Duke University Jennifer Park, National Academies of Science, Engineering, and Medicine, Committee on National Statistics Toward a 21st Century National Data Infrastructure: Managing Privacy and Confidentiality Risks with Blended Data
	Report Highlight
	Open Discussion
2:30 pm	Adjourn