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Gargeya Vunnava

As seen in: Amazon Science
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Articles

Parakeet: Emission factor recommendation for life cycle assessments with generative AI

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By Bharathan Balaji, Fahimeh Ebrahimi, Nina Domingo, Gargeya Vunnava
| Amazon Science
Accurately quantifying greenhouse gas (GHG) emissions is crucial for organizations to measure and mitigate their environmental impact. Life cycle assessment (LCA) estimates the environmental impacts throughout a product’s entire lifecycle, from raw material extraction to end-of-life. Measuring the emissions outside of a product owner’s control is challenging, and practitioners rely on emission factors (EFs)– estimates of GHGemissions per unit of activity– to model and estimate indirect impacts.
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Flamingo: Environmental impact factor matching for life cycle assessment with zero-shot machine learning

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By Bharathan Balaji, Gargeya Vunnava, Nina Domingo, Shikhar Mohan Gupta
| Amazon Science
Consumer products contribute to more than 75% of global greenhouse gas (GHG) emissions, primarily through indirect contributions from the supply chain. Measurement of GHG emissions associated with products is a crucial step toward quantifying the impact of GHG emission abatement actions. Life cycle assessment (LCA), the scientific discipline for measuring GHG emissions, estimates the environmental impact associated with each stage of a product from raw material extraction to its disposal.
Open in Who Shared Issue with article?

Flamingo: Environmental impact factor matching for life cycle assessment with zero-shot ML

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By Bharathan Balaji, Gargeya Vunnava, Shikhar Mohan Gupta, Nina Domingo
| Amazon Science
Consumer products contribute to >75% of global greenhouse gas (GHG) emissions, primarily through indirect contributions from the supply chain. Measurement of GHG emissions associated with products is crucial to quantify the impact of GHG emission abatement actions. Life cycle assessment (LCA), the scientific discipline for measuring GHG emissions, estimates the environmental impact of a product.
Open in Who Shared Issue with article?
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