GX Research Hub · English

GX & Decarbonization Research

This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 14 contributing scholarly metadata sources and uses AI-assisted classification to identify signals related to measurement, policy narratives, outcomes, implementation, industrial adoption, and verification.

The goal is not only to discover papers, but to observe how GX research is distributed across research substance, implementation narratives, external expectations, implementation substance, and judgment formation.

Summaries are AI-assisted. Always refer to the original paper for authoritative conclusions.

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Showing 2801–2820 of 31218 papers

Peer-reviewedConferenceSpringer Proceedings in Business and Economics2026#AI × ESGDOI

Leveraging AI for Automation in ESG Reporting

Telukdarie A.

This work addresses automating ESG reporting processes with AI. It targets reducing disclosure burden and improving data quality through automated ESG data collection, aggregation, and report generation. It sits squarely at the AI×ESG inter…

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Peer-reviewedJournalProceedings of the National Academy of Sciences of the United States of America2024#Climate ScienceDOI

Refining greenhouse gas emission factors for Indonesian peatlands and mangroves to meet ambitious climate targets

Murdiyarso D.

This work refines greenhouse gas emission factors for Indonesian peatlands and mangroves. Better emission factors improve land-use emissions accounting and support ambitious climate targets. It contributes foundational data for national inv…

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