The use of differential privacy for census data and its impact on redistricting: The case of the 2020 U.S. Census-Reference-Cited by-同舟云学术

The use of differential privacy for census data and its impact on redistricting: The case of the 2020 U.S. Census

Published:2021-10-08 Issue:41 Volume:7 Page:
ISSN:2375-2548
Container-title:Science Advances
language:en
Short-container-title:Sci. Adv.

Author:

Kenny Christopher T.¹^ORCID,Kuriwaki Shiro²^ORCID,McCartan Cory³^ORCID,Rosenman Evan T. R.⁴^ORCID,Simko Tyler¹^ORCID,Imai Kosuke¹³^ORCID

Affiliation:

1. Department of Government, Harvard University, Cambridge, MA 02138, USA.

2. Department of Political Science, Stanford University, Stanford, CA 94305, USA.

3. Department of Statistics, Harvard University, Cambridge, MA 02138, USA.

4. Data Science Initiative, Harvard University, Cambridge, MA 02138, USA.

Abstract

New Census privacy protections may introduce both bias and noise into redistricting and voting rights analysis.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference56 articles.

1. J. M. Abowd G. L. Benedetto S. L. Garfinkel S. A. Dahl A. N. Dajani M. Graham M. B. Hawes V. Karwa DSS. Kifer H. Kim P. Leclerc A. Machanavajjhala J. P. Reiter R. Rodriguez I. M. Schmutte W. N. Sexton P. E. Singer L. Vilhuber The modernization of statistical disclosure limitation at the U.S. Census Bureau (U.S. Census Bureau 2020).

2. Differential Privacy and Census Data: Implications for Social and Economic Research

3. National Academies of Sciences Engineering and Medicine 2020 Census Data Products: Data Needs and Privacy Considerations: Proceedings of a Workshop (The National Academies Press 2020).

4. D. Van Riper T. Kugler S. Ruggles Privacy in statistical databases in Lecture Notes in Computer Science (Springer International Publishing 2020) pp. 353–368.

5. How differential privacy will affect our understanding of health disparities in the United States

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