The world is a busy, data-rich place.   But data and knowledge are not evenly distributed. 

 

Our system works with coalition partners in agencies, universities, nonprofits, and citizen science groups to maximize existing value and learn from local knowledge.

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Geospatial data, interoperability and model-training are essential, to understand biodiversity vulnerability across scales -- in a simple, easy-to-understand way that ordinary people can use.

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We value citizen science data - as long as it's properly designed - and our system democratizes biodiversity observation systems by encouraging ordinary people - from village women to city workers to farmers to amateur hobbyists - to take part with observations and images. 

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But these partners and groups usually can't track biodiversity change on their own.  The pace and complexity of climate and global change are increasing beyond their capacity. 

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We bring together partners to build an integrated biodiversity early warning system that can help them answer questions of concern to them.  With an integrated system, they can find reliable evidence fast.

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We use systems analysis, model learning, interoperability,  and other multiscale, up-to-task tools.   We link real-world needs and cutting-edge methods, citizen science volunteerism, remotely sensed data, machine- and model-learning and predictive tools, media, statistical tools and models, infographics, and policy analysis for significantly better policy, planning, management and rapid action.

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We also link local and regional systems, as there are important system-learning opportunities with paired networks - for example in southern Africa, Polynesia, and the Sierra Nevadas.

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