How Differential Privacy Will Affect Estimates of Air Pollution Exposure and Disparities in the United States

Census data is crucial to understand energy and environmental justice outcomes such as poor air quality which disproportionately impact people of color in the U.S. Wwith the advent of sophisticated personal datasets and analysis, Census Bureau is considering adding top-down noise (differential priva...

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Main Author: Madalsa Singh
Format: Article
Language:English
Published: Findings Press 2023-05-01
Series:Findings
Online Access:https://doi.org/10.32866/001c.74975
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author Madalsa Singh
author_facet Madalsa Singh
author_sort Madalsa Singh
collection DOAJ
description Census data is crucial to understand energy and environmental justice outcomes such as poor air quality which disproportionately impact people of color in the U.S. Wwith the advent of sophisticated personal datasets and analysis, Census Bureau is considering adding top-down noise (differential privacy) and post-processing 2020 census data to reduce the risk of identification of individual respondents. Using 2010 demonstration census and pollution data, I find that compared to the original census, differentially private (DP) census significantly changes ambient pollution exposure in areas with sparse populations. White Americans have lowest variability, followed by Latinos, Asian, and Black Americans. DP underestimates pollution disparities for SO~2~ and PM~2.5~ while overestimates the pollution disparities for PM~10~.
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spelling doaj.art-e4326732f8c04230b70f2cbc18e064122024-01-28T00:17:04ZengFindings PressFindings2652-88002023-05-01How Differential Privacy Will Affect Estimates of Air Pollution Exposure and Disparities in the United StatesMadalsa SinghCensus data is crucial to understand energy and environmental justice outcomes such as poor air quality which disproportionately impact people of color in the U.S. Wwith the advent of sophisticated personal datasets and analysis, Census Bureau is considering adding top-down noise (differential privacy) and post-processing 2020 census data to reduce the risk of identification of individual respondents. Using 2010 demonstration census and pollution data, I find that compared to the original census, differentially private (DP) census significantly changes ambient pollution exposure in areas with sparse populations. White Americans have lowest variability, followed by Latinos, Asian, and Black Americans. DP underestimates pollution disparities for SO~2~ and PM~2.5~ while overestimates the pollution disparities for PM~10~.https://doi.org/10.32866/001c.74975
spellingShingle Madalsa Singh
How Differential Privacy Will Affect Estimates of Air Pollution Exposure and Disparities in the United States
Findings
title How Differential Privacy Will Affect Estimates of Air Pollution Exposure and Disparities in the United States
title_full How Differential Privacy Will Affect Estimates of Air Pollution Exposure and Disparities in the United States
title_fullStr How Differential Privacy Will Affect Estimates of Air Pollution Exposure and Disparities in the United States
title_full_unstemmed How Differential Privacy Will Affect Estimates of Air Pollution Exposure and Disparities in the United States
title_short How Differential Privacy Will Affect Estimates of Air Pollution Exposure and Disparities in the United States
title_sort how differential privacy will affect estimates of air pollution exposure and disparities in the united states
url https://doi.org/10.32866/001c.74975
work_keys_str_mv AT madalsasingh howdifferentialprivacywillaffectestimatesofairpollutionexposureanddisparitiesintheunitedstates