Special Issue 2: Differential Privacy for the 2020 U.S. Census

From the Editors

Harnessing the Known Unknowns: Differential Privacy and the 2020 Census

by Ruobin Gong, Erica L. Groshen, and Salil Vadhan

Published: Jun 24, 2022

Special Issue 2: Differential Privacy for the 2020 U.S. Census

Census: Importance, History, and Technical Changes

Coming to Our Census: How Social Statistics Underpin Our Democracy (and Republic)

by Teresa A. Sullivan

Published: Jan 31, 2020

Connections

Commentaries (9):

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Dudley L. Poston, Jr.

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Dennis Trewin

Rejoinders (1):

Teresa A. Sullivan

Disclosure Protection in the Context of Statistical Agency Operations: Data Quality and Related Constraints

by John Eltinge

Published: Jun 24, 2022

Implementing Differential Privacy: Seven Lessons From the 2020 United States Census

by Michael B. Hawes

Published: Apr 30, 2020

The 2020 Census Disclosure Avoidance System TopDown Algorithm

by John M. Abowd, Robert Ashmead, Ryan Cumings-Menon, Simson Garfinkel, Micah Heineck, Christine Heiss, Robert Johns, Daniel Kifer, and 6 more

Published: Jun 24, 2022

Empirical Evaluations

Assessing the Impact of Differential Privacy on Measures of Population and Racial Residential Segregation

by Brian Asquith, Brad Hershbein, Tracy Kugler, Shane Reed, Steven Ruggles, Jonathan Schroeder, Steve Yesiltepe, and David Van Riper

Published: Jun 24, 2022

Connections

Commentaries (1):

Ori Heffetz

The Effect of Differentially Private Noise Injection on Sampling Efficiency and Funding Allocations: Evidence From the 1940 Census

by Quentin Brummet, Edward Mulrow, and Kirk Wolter

Published: Jun 24, 2022

Connections

Commentaries (1):

Ori Heffetz

Private Numbers in Public Policy: Census, Differential Privacy, and Redistricting

by Aloni Cohen, Moon Duchin, JN Matthews, and Bhushan Suwal

Published: Jun 24, 2022

Commentary and Critique

What Will It Take to Get to Acceptable Privacy-Accuracy Combinations?

by Ori Heffetz

Published: Jun 24, 2022

Reflections on Brummet et al. and Asquith et al.

Transparent Privacy Is Principled Privacy

by Ruobin Gong

Published: Jun 24, 2022

Broader Perspectives

Differential Perspectives: Epistemic Disconnects Surrounding the U.S. Census Bureau’s Use of Differential Privacy

by danah boyd and Jayshree Sarathy

Published: Jun 24, 2022

Connections

Commentaries (1):

Christopher T. Kenny & 5 others

Rejoinders (1):

danah boyd & 1 other

Differential Privacy and Social Science: An Urgent Puzzle

by Daniel L. Oberski and Frauke Kreuter

Published: Jan 31, 2020

A Chronicle of the Application of Differential Privacy to the 2020 Census

by V. Joseph Hotz and Joseph Salvo

Published: Jun 24, 2022

Disclosure Avoidance and the 2020 Census: What Do Researchers Need to Know?

by Erica L. Groshen and Daniel Goroff

Published: Jun 24, 2022