Abstract The US Census Bureau implemented a new disclosure control strategy for the 2020
Census that adds deliberate error to every population statistic for every geographic unit …

The US Census Bureau will implement a modernized privacy-preserving disclosure
avoidance system (DAS), which includes application of differential privacy, on publicly …

Given the turbulent conditions of the early 21st century and the release of data from the 2020
Census, it is an appropriate time to examine contemporary population redistribution trends …

The US Census has grappled with public concerns about privacy since the first enumeration
in 1790. Beginning in the mid‐nineteenth century, census officials began responding to …

Poverty scholarship in the United States is increasingly reliant upon the Supplemental
Poverty Measure (SPM) as opposed to the Official Poverty Measure of the United States for …

Abstract In 2018, the US Census Bureau designed a new data reconstruction and re-
identification attack and tested it against their 2010 data release. The specific attack …

The purpose of anonymizing structured data is to protect the privacy of individuals in the
data while retaining the statistical properties of the data. There is a large body of work that …

Transformation of the Earth's social and ecological systems is occurring at a rate and
magnitude unparalleled in human experience. Data science is a revolutionary new way to …

The US Decennial Census provides valuable data for both research and policy purposes.
Census data are subject to a variety of disclosure avoidance techniques prior to release in …

In this study, we provide an assessment of data accuracy from the 2020 Census. We
compare block-level population totals from a sample of 173 census blocks in California …