Advancing Secure, Ethical, and Transparent Data Systems for Federal Statistical Programs

Thu, Aug 6, 10:30 AM - 12:20 PM Room CC-255 Thomas M. Menino Convention & Exhibition Center

Bruce MeyerChair

Government Statistics Section

6 Presentations

TaCo: A Python Tool for Assessing and Augmenting Suppression Methods

10:35 AM - 10:50 AM

Elan Segarra (US Bureau of Labor Statistics)

statistical disclosure control suppression privacy risk confidentiality data privacy cell suppression problem

A Deployment Playbook for Secure Data Linkage

10:50 AM - 11:05 AM

Kabirat Nasiru (Oakridge Institution for Science and Education Data Science Fellow - Research Ambassadors Program through National Center for Science and Engineering Statistics within the National Science Foundation)

Co-authors: Lisa Mirel (National Science Foundation, National Center for Science and Engineering Statistics)

National Secure Data Service(NSDS)Privacy Preserving Record Linkage (PPRL)Secure Data Linkage Evidence Building

Frameworks for Deriving Canonical Person Names in Integrated Administrative Data

11:05 AM - 11:20 AM

Elena Healing (U.S. Census Bureau)

Co-authors: Connor O'Fallon (U.S. Census Bureau)

administrative data integration record linkage entity resolution name standardization data quality reproducible methods

Accounting for New Censorship Rules on CDC WONDER with a Truncated Multinomial Sampling Approach

11:20 AM - 11:35 AM

Alyssa Montgomery

Co-authors: Harrison Quick (University of Minnesota)

Interval censoring Disclosure risk Multiple Imputation Health disparities Confidentiality Data suppression

The Next Steps for Open Census in Supporting Open Science

11:35 AM - 11:50 AM

Emily Molfino (U.S. Census Bureau)

federal statistics open science transparency data science

Building Ethical Capacity through Integrated Micro-Practices and Professional Standards

11:50 AM - 12:05 PM

Rochelle Tractenberg (Georgetown University)

ethical guidelines teaching ethical statistics and data science undergraduate classroom activities undergraduate ethics education ASA Ethical Guidelines for Statistical Practice Ethics in Official Statistics - Foundations and Practices to Foster Public Trust (UN)