data privacy 1ethical guidelines 1legal frameworks 1national statistical organizations 1statistical confidentiality 1
From the 1 of 3 linked papers with an AI index.
3 papers
stat.OT2026
The Evolution and Interpretation of "Statistical Purposes"
Michael B. Hawes, John L. Eltinge, Paul S. Marck +2
The paper examines how the phrase "for statistical purposes only" is defined and applied by national statistical organizations, identifying criteria related to producing aggregate…
stat.AP2025
Toward a Principled Framework for Disclosure Avoidance
Michael B Hawes, Evan M Brassell, Anthony Caruso +16
Responsible disclosure limitation is an iterative exercise in risk assessment and mitigation. From time to time, as disclosure risks grow and evolve and as data users' needs change…
stat.ME2025
An Approximate Monte Carlo Simulation Method for Estimating Uncertainty and Constructing Confidence Intervals for 2020 Census Statistics
Robert Ashmead, Michael B. Hawes, Mary Pritts +2
To protect the confidentiality of the 2020 Census, the U.S. Census Bureau adopted a statistical disclosure limitation framework based on the principles of differential privacy. A k…