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.

Conference Code of Conduct

Thursday, May 16
Continental Breakfast
9:00 am
Survey Methodologies

Differentially Private Population Quantity Estimates via Survey Weight Regularization

Whose Data Is It Anyway? Flavors of Differential Privacy for Survey Sampling

Statistical Disclosure Limitation and Total Survey Error
10:15 am
Break
10:45 am
Synthetic Data and Alternatives

Select Synthetic Data Generation Methods Toward a Public Use File for a Longitudinal Survey (slides)

On the Formal Privacy Guarantees of Synthetic Data (Generated without formal Privacy Guarantees) (slides)

Using Containers to Validate Research on Confidential Data (slides)

Exploring Improved Access to Individual Income Tax Data for Evidence-Building
12:25 pm
Lunch
1:40 pm
Privacy Compliance

Adoption of 'Privacy-Preserving' Analytics: Drivers, Designs, & Decoupling

Regulatory Compliance with Limited Enforceability: Evidence from Privacy Policies
2:30 pm
Break
3:00 pm
Discussion Session I - Data Governance

Navigating the Privacy Landscape: Harmonizing Legislative and Public Sector Approaches in the Canadian Context

Towards a Principled Discussion about Disclosure Avoidance: Identifying the Characteristics of an Ideal, Applied Disclosure Avoidance System (slides)

The Realities of Disclosure Risks in the Age of Dark Patterns and Big Data

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

Differentially Private Linear Regression with Linked Data

Bayesian Inference Under Differential Privacy: Prior Selection Considerations with Application to Univariate Gaussian Data and Regression

Benchmarking DP Linear Regression Methods for Statistical Inference
10:15 am
Break
10:45 am
Utility and Privacy in Design

Information Design for Differential Privacy

Estimating Preferences Over Data to Inform Statistical Disclosure Control Decisions

Screening P-Hackers: Dissemination Noise as Bait
12:00 n
Lunch
1:00 pm
Discussion Session II

A Roadmap for Disclosure Avoidance in the Survey of Income and Program Participation SIPP

Toward a 21st Century National Data Infrastructure: Managing Privacy and Confidentiality Risks with Blended Data
Report
Highlight
Open Discussion
2:30 pm
Adjourn