Science-Based Environmental Interpretation for Investment and Public-Interest Decisions
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| Format: | Recurso digital |
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Zenodo
2026
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| _version_ | 1866901192212217856 |
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| author | Markelova, Ekaterina |
| author_facet | Markelova, Ekaterina |
| contents | <p>Environmental interpretation can no longer be treated as a simple explanation added after an assessment is finished. In both investment and public-interest decisions, environmental results need to stay connected to the methods, assumptions, boundaries, and uncertainties that produced them. Recent research and policy developments show that comparisons can change once uncertainty is properly included, and that forward-looking assessments should be presented as conditional and probabilistic rather than as certain forecasts. They also show that sustainability reporting becomes less credible when key modelling choices remain hidden.</p> <p><br>This is even more relevant now because environmental information is being built into formal decision systems, including product information rules, digital reporting structures, building disclosure requirements, and new technical guidance for emerging technologies. As a result, environmental claims are increasingly used by regulators, investors, procurers, and other public actors. In this context, a science-based claim is credible only when the path from model to interpretation remains explicit and traceable. Each claim should therefore show what it is based on, what assumptions shape it, where its limits are, and how uncertain the result remains.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19653055 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Science-Based Environmental Interpretation for Investment and Public-Interest Decisions Markelova, Ekaterina life cycle assessment uncertainty governance digital product passport sustainable investment <p>Environmental interpretation can no longer be treated as a simple explanation added after an assessment is finished. In both investment and public-interest decisions, environmental results need to stay connected to the methods, assumptions, boundaries, and uncertainties that produced them. Recent research and policy developments show that comparisons can change once uncertainty is properly included, and that forward-looking assessments should be presented as conditional and probabilistic rather than as certain forecasts. They also show that sustainability reporting becomes less credible when key modelling choices remain hidden.</p> <p><br>This is even more relevant now because environmental information is being built into formal decision systems, including product information rules, digital reporting structures, building disclosure requirements, and new technical guidance for emerging technologies. As a result, environmental claims are increasingly used by regulators, investors, procurers, and other public actors. In this context, a science-based claim is credible only when the path from model to interpretation remains explicit and traceable. Each claim should therefore show what it is based on, what assumptions shape it, where its limits are, and how uncertain the result remains.</p> |
| title | Science-Based Environmental Interpretation for Investment and Public-Interest Decisions |
| topic | life cycle assessment uncertainty governance digital product passport sustainable investment |
| url | https://doi.org/10.5281/zenodo.19653055 |