About Us
Greenophy is a research-led practical project testing how language analytics can make sustainability reporting auditable. We prototype with regulators, issuers, and assurance teams, then harden the most promising methods into tools that can be fielded inside real disclosure reviews.
Research Focus
Our experiments sit at the intersection of narrative economics, supervision, and natural language processing. We study how ESG claims propagate through filings, news, and policy guidance, seeking signals that separate symbolic statements from those anchored in verifiable evidence.
Practical Workstreams
- Credibility scoring that flags incomplete or recycled passages before human reviewers invest time.
- Evidence graphs linking every ESG sentence to underlying data tables, audits, or third-party sources.
- Peer context maps that track which issuers regulators implicitly compare by narrative similarity.
Project Team
Led by Dr Tian Han and Dr Wen Zhang (University of Bristol), Greenophy blends qualitative fieldwork with quantitative linguistics. We prototype side-by-side with supervisory teams, turn the best experiments into practitioner playbooks, and publish analytical field reports that offer regulators and issuers actionable evidence paths.
Get in Touch
Dr Tian Han · tian.han@bristol.ac.uk
Dr Wen Zhang · wen.zhang@bristol.ac.uk