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| Autores principales: | , , , , , , , , , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Acceso en línea: | https://arxiv.org/abs/2501.10382 |
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| _version_ | 1866914127179415552 |
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| author | Woods-Robinson, Rachel Abeynayaka, Amila Carbajales-Dale, Mik Chen, Hao Cheng, Anthony Cooney, Gregory Kirchofer, Abby Kumar, Manish Liddell, Heather P. H. Peterson, Lisa Posen, I. Daniel Moni, Sheikh Sleep, Sylvia Wachs, Liz Zargar, Shiva Bergerson, Joule |
| author_facet | Woods-Robinson, Rachel Abeynayaka, Amila Carbajales-Dale, Mik Chen, Hao Cheng, Anthony Cooney, Gregory Kirchofer, Abby Kumar, Manish Liddell, Heather P. H. Peterson, Lisa Posen, I. Daniel Moni, Sheikh Sleep, Sylvia Wachs, Liz Zargar, Shiva Bergerson, Joule |
| contents | Public and private interest in life cycle assessment (LCA) has grown as environmental disclosure norms tighten, driving demand for decision-relevant assessment early in technological development cycles. Early-stage LCA has the potential to guide design choices, steer innovation, and mitigate lock-in of adverse environmental impacts. However, many aspects of early-stage LCA practice remain unsettled. We convened experts in a series of Faraday Discussion-style workshops to address recurring debates across six key topics for emerging technologies: appropriate use of LCA, uncertainty, comparison with incumbents, standardization, scale-up, and stakeholder engagement. For each issue, we present a declarative resolution, summarize key arguments for and against it, identify points of consensus, and provide recommendations. Across topics, the research network converged on practical priorities including framing studies to the decision context; setting minimum reporting expectations for data and study quality; and explicitly stating limits of transferability for scenario-based uncertainty assessment or analytically scaled-up projections. Disagreements persisted on when to formalize standards and how extensively uncertainty can/should be treated for low-maturity technologies. Supplementing the workshop findings with examples and context from relevant literature, we synthesize outcomes into a set of shared challenges and research priorities to strengthen transparent, evidence-based, and context-informed approaches for early-stage LCA. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_10382 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Controversy and consensus: common ground and best practices for life cycle assessment of emerging technologies Woods-Robinson, Rachel Abeynayaka, Amila Carbajales-Dale, Mik Chen, Hao Cheng, Anthony Cooney, Gregory Kirchofer, Abby Kumar, Manish Liddell, Heather P. H. Peterson, Lisa Posen, I. Daniel Moni, Sheikh Sleep, Sylvia Wachs, Liz Zargar, Shiva Bergerson, Joule Computers and Society Emerging Technologies Public and private interest in life cycle assessment (LCA) has grown as environmental disclosure norms tighten, driving demand for decision-relevant assessment early in technological development cycles. Early-stage LCA has the potential to guide design choices, steer innovation, and mitigate lock-in of adverse environmental impacts. However, many aspects of early-stage LCA practice remain unsettled. We convened experts in a series of Faraday Discussion-style workshops to address recurring debates across six key topics for emerging technologies: appropriate use of LCA, uncertainty, comparison with incumbents, standardization, scale-up, and stakeholder engagement. For each issue, we present a declarative resolution, summarize key arguments for and against it, identify points of consensus, and provide recommendations. Across topics, the research network converged on practical priorities including framing studies to the decision context; setting minimum reporting expectations for data and study quality; and explicitly stating limits of transferability for scenario-based uncertainty assessment or analytically scaled-up projections. Disagreements persisted on when to formalize standards and how extensively uncertainty can/should be treated for low-maturity technologies. Supplementing the workshop findings with examples and context from relevant literature, we synthesize outcomes into a set of shared challenges and research priorities to strengthen transparent, evidence-based, and context-informed approaches for early-stage LCA. |
| title | Controversy and consensus: common ground and best practices for life cycle assessment of emerging technologies |
| topic | Computers and Society Emerging Technologies |
| url | https://arxiv.org/abs/2501.10382 |