A Path Toward Systemic Equity in Life Cycle Assessment and Decision-Making: Standardizing Sociodemographic Data Practices-Reference-Cited by-同舟云学术

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A Path Toward Systemic Equity in Life Cycle Assessment and Decision-Making: Standardizing Sociodemographic Data Practices

Published:2022-09-01 Issue:9 Volume:39 Page:759-769
ISSN:1557-9018
Container-title:Environmental Engineering Science
language:en
Short-container-title:Environmental Engineering Science

Author:

Bozeman Joe F.¹^ORCID,Nobler Erin²,Nock Destenie³

Affiliation:

1. Civil and Environmental Engineering, Public Policy, Georgia Institute of Technology, Atlanta, Georgia, USA.

2. Geography, Planning and Design, University of Colorado Denver, Denver, Colorado, USA.

3. Civil and Environmental Engineering, Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.

Publisher

Mary Ann Liebert Inc

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry

Link

https://www.liebertpub.com/doi/pdf/10.1089/ees.2021.0375

Reference90 articles.

1. Seeking procedural equity in global environmental governance: Indigenous participation and knowledge politics in forest and landscape restoration debates at the 2016 World Conservation Congress

2. Six research priorities for cities and climate change

3. A perspective on equity implications of net zero energy systems

4. Who is marginalized in energy justice? Amplifying community leader perspectives of energy transitions in Ghana

5. The Art and Craft of International Environmental Law - By Daniel Bodansky

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1. Embed systemic equity throughout industrial ecology applications: How to address machine learning unfairness and bias;Journal of Industrial Ecology;2024-06-18

2. Realizing Justice40: Addressing Structural Funding Barriers for Equitable Community Engagement in Energy RD&D;Journal of Science Policy & Governance;2024-03-11

3. A multi-scale lifecycle and technoeconomic framework for higher education fleet electrification;Scientific Reports;2024-02-28

4. Bolstering integrity in environmental data science and machine learning requires understanding socioecological inequity;Frontiers of Environmental Science & Engineering;2024-02-08

5. Incorporating energy justice throughout clean-energy R&D in the United States: A review of outcomes and opportunities;Cell Reports Sustainability;2024-02

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