Computational Environmental Justice Analysis

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Award Year: 
2015
Principal Investigator: 
Paul Mohai, University of Michigan
Michael Ash, University of Massachusetts Amherst
Mary Collins, SUNY-ESF

The body of interdisciplinary scholarship examining the causes and consequences of environmental inequality assesses both the socioeconomic determinants of toxic pollution exposure and how this exposure relates to adverse community outcomes. Although environmental justice (EJ) scholars agree that (1) inequities in pollution exposure exist by both race and class and (2) these exposures result in adverse community outcomes from both health and quality-of-life standpoints, few studies look into how patterns change over time. Our group will work closely with the SESYNC data science experts to build a cyberinfrastructure system that will both allow researchers to answer socio-temporal research questions and produce exploratory visualization—a vantage point where new discovery can occur. By creating this type of integrated cyberinfrastructure, we will gain new insights into the relationship between socially structured correlates and environmental injustice from both scholarly and actionable science points-of-view.

Participants: 
Lynne Blake-Hedges, U.S. Environmental Protection Agency
Nick Bouwes, U.S. Environmental Protection Agency
James Boyce, University of Massachusetts Amherst
Lara Clark, University of Minnesota
Wayne Davis, U.S. Environmental Protection Agency
Cynthia Gould, Abt Associates
Byoung-Suk Kweon, University of Maryland
Sangyun Lee, Korean Environment Institute
Manuel Pastor, University of Southern California
Richard Puchalsky, Grassroots Connection
Justin Scoggins, University of Southern California

Resources:

Resource Title Brief Summary
Measuring Environmental Inequality Apr 01, 2016

Article published in Ecological Economics.

Greenhouse 100 Polluters Index (2016 Report, Based on 2014 Data) Apr 01, 2016

Data found on the Political Economy Research Institute (PERI) website.

Associated SESYNC Researcher(s): 
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