Effort to Integrate Natural History Museum London into Nature Risk Platform

From News Desk

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Dunya Analytics has announced a collaboration with the Natural History Museum, London to integrate the museum’s Biodiversity Intactness Index (BII) into its nature analytics platform. Companies struggle with nature risk assessment because no single dataset can quantify nature risk in line with TNFD recommendations. Dunya Analytics has developed a scientifically rigorous methodology that combines the available global biodiversity datasets to automatically quantify nature risk, making it easy for companies to conduct compliant assessments and gain actionable insights for their nature strategies.

After evaluating dozens of datasets, Dunya Analytics selected the Natural History Museum’s BII as its primary metric for identifying areas of high ecosystem integrity, one of several dimensions of biodiversity recommended by the TNFD. Developed by museum scientists using data from over 76,000 species worldwide, the BII uses a transparent, peer-reviewed methodology that measures ecosystem condition on an intuitive 0-100% scale. The index provides a globally consistent baseline for comparing local ecosystem health across any geography and is continuously updated with new scientific data.

“The BII provides global, regularly updated data that’s scientifically rigorous and easy to interpret. It is the perfect complement to our other datasets, enabling a fully TNFD-aligned assessment,” said Rebecca Stern, Chief Science Officer of Dunya Analytics.

The Dunya Analytics platform analyses hundreds of business locations in seconds, regardless of geography or industry. By automating the TNFD LEAP approach from the ground up, companies can incorporate their own site-specific data to refine risk assessments and conduct defensible, auditable double-materiality and nature risk assessments. Most importantly, the platform translates environmental data into business impacts, helping companies understand not just where nature risks exist, but what they mean for operations, supply chains, and financial performance.

This translation from science to strategy is exactly what the Natural History Museum envisioned for its data. “We’ve spent over a decade building and analysing the world’s most comprehensive dataset on how land use affects biodiversity, but science only matters if it makes a difference,” said Dr Adriana De Palma and Professor Andy Purvis, co-leaders of the team that developed BII. “By turning our BII research into insights that shape real decisions, Dunya Analytics helps move us from documenting biodiversity loss to driving its reversal.”

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