ai.cam.ac.uk/blog/conserving-with-code-how-data-is-helping-to-save-our-planet

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https://ai.cam.ac.uk/blog/conserving-with-code-how-data-is-helping-to-save-our-planet

Conserving with code: How data is helping to save our planet

Over the last two decades, the University of Cambridge-based project Conservation Evidence has screened more than 1.5 million scientific papers on conservation, as well as manually summarising 8,600+ studies relating to conservation actions. It has taken an estimated 75-person years for a team of highly skilled and highly trained researchers to manually curate the current database, which is used by a wide range of organisations to help inform decisions that are increasingly vital to the future of our planet and biodiversity conservation. Using the current manual system, only a few hundred new papers can be added to the open access database each year. AI has opened up new possibilities.



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Conserving with code: How data is helping to save our planet

https://ai.cam.ac.uk/blog/conserving-with-code-how-data-is-helping-to-save-our-planet

Over the last two decades, the University of Cambridge-based project Conservation Evidence has screened more than 1.5 million scientific papers on conservation, as well as manually summarising 8,600+ studies relating to conservation actions. It has taken an estimated 75-person years for a team of highly skilled and highly trained researchers to manually curate the current database, which is used by a wide range of organisations to help inform decisions that are increasingly vital to the future of our planet and biodiversity conservation. Using the current manual system, only a few hundred new papers can be added to the open access database each year. AI has opened up new possibilities.



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https://ai.cam.ac.uk/blog/conserving-with-code-how-data-is-helping-to-save-our-planet

Conserving with code: How data is helping to save our planet

Over the last two decades, the University of Cambridge-based project Conservation Evidence has screened more than 1.5 million scientific papers on conservation, as well as manually summarising 8,600+ studies relating to conservation actions. It has taken an estimated 75-person years for a team of highly skilled and highly trained researchers to manually curate the current database, which is used by a wide range of organisations to help inform decisions that are increasingly vital to the future of our planet and biodiversity conservation. Using the current manual system, only a few hundred new papers can be added to the open access database each year. AI has opened up new possibilities.

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      Over the last two decades, the University of Cambridge-based project Conservation Evidence has screened more than 1.5 million scientific papers on conservation, as well as manually summarising 8,600+ studies relating to conservation actions. It has taken an estimated 75-person years for a team of highly skilled and highly trained researchers to manually curate the current database, which is used by a wide range of organisations to help inform decisions that are increasingly vital to the future of our planet and biodiversity conservation. Using the current manual system, only a few hundred new papers can be added to the open access database each year. AI has opened up new possibilities.
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