FAQ
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Why are we called Darwin ?
Charles Darwin is famous for uncovering the dynamic movement of biodiversity evolution. Our mission is to preserve such dynamic, as the Earth faces a mass extinction crisis. Using science and data, we help businesses to act before it’s too late.
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Who is Darwin Data for ?
Darwin Data empowers corporations and investment funds that want to understand their biodiversity footprint, identify risks in their value chains and implement an associated action plan. We also help consultants to implement biodiversity strategies for their clients.
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What is a biodiversity footprint?
A biodiversity footprint measures how a company’s activities affect nature—both ecosystems and species. It tracks changes caused by pressures like land use, pollution, or climate change, using metrics such as MSA or PDF. Unlike carbon, biodiversity impacts are complex and location-specific, requiring tailored, science-based approaches to guide meaningful action.
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How is the biodiversity diagnosis assessed?
A biodiversity diagnosis is assessed by analyzing a company’s impacts and dependencies on nature—mapping ecosystem pressures (land use, pollution, etc.) and species risks across operations and value chains. Using frameworks like SBTN and IPBES, it quantifies baseline footprints, identifies hotspots, and prioritizes actions for science-based, context-specific strategies.
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How can Darwin help me with my biodiversity reporting ?
Darwin simplifies biodiversity reporting by aligning data with key frameworks (CSRD, TNFD, CDP, GRI, SBTN). Our platform quantifies impacts/dependencies, maps IPBES pressures, and ensures location-specific, value chain-wide compliance—turning complex regulations into actionable, science-based strategies for transparent, standardized disclosure.
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How can Darwin help me assess biodiversity risks?
Darwin helps assess biodiversity risks by quantifying your exposure to physical (ecosystem service disruptions) and transition (regulatory/market shifts) risks. We map dependencies/impacts across your value chain, align with TNFD/CSRD frameworks, and use location-specific data to pinpoint hotspots—turning complexity into actionable, science-backed risk strategies.