The New Conservationists: AI is Making Meaning from the Sounds and Visuals of Wildlife (Part 2)

Science Quickly

Scientific American

Science

4.4 • 1.4K Ratings

🗓️ 16 December 2024

⏱️ 17 minutes

🔗️ Recording | iTunes | RSS

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Summary

Ashleigh Papp, an animal scientist turned storyteller, takes us on into the field. Conservationists and animal behaviorists were once restricted to wildlife data gathered manually. Now new technologies are expanding the amount of passively collected data—and machine learning is helping researchers cut through the noise. This is part two of The New Conservationists, a four-part series about the evolving world of animal conservation. Recommended reading: – Flying Conservationists Teach Endangered Birds to Migrate – The Last Wild Horses Are Finally Returning to Their Natural Habitat – Great Nicobar Island Is a Paradise in Danger E-mail us at sciencequickly@sciam.com if you have any questions, comments or ideas for stories we should cover! Discover something new every day: subscribe to Scientific American and sign up for Today in Science, our daily newsletter. Science Quickly is produced by Rachel Feltman, Fonda Mwangi, Kelso Harper, Madison Goldberg and Jeff DelViscio. This episode was hosted by Rachel Feltman with co-host Ashleigh Papp. Our show is edited by Madison Goldberg with fact-checking by Shayna Posses and Aaron Shattuck. The theme music was composed by Dominic Smith. Learn more about your ad choices. Visit megaphone.fm/adchoices

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0:00.0	Here's the truth about AI.
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0:21.9	use right now. That's why the world works with ServiceNow. Visit ServiceNow.com
0:27.8	slash UK slash AI for people. For Scientific American Science quickly, this is Rachel Feltman.
0:36.2	You're listening to the second episode
0:38.3	of our Friday Fascination miniseries, The New Conservationists. Today we're heading into the field,
0:43.9	under the sea and to the savannah, with researchers who are using artificial intelligence
0:48.3	to change the way we understand and protect animals and their ecosystems. Our guide once again is Ashley Papp,
0:55.8	an animal scientist turned storyteller.
0:58.3	She's here to explain why we're turning to machine learning
1:00.9	to process nature's complexity
1:02.4	and how it's extending the reach of what our eyes can see
1:05.8	and our ears can hear.
1:21.6	After college, I spent time as a field researcher in Costa Rica working with endangered sea turtles. It was a lot of hard work.
1:24.6	Basically, hours of walking up and down remote beaches hoping to spot a turtle nesting in
1:30.0	the sand. The fundamental idea behind field research rests on two questions. How many animals are
1:39.4	there and where do they live? If we know the answers, we can learn a lot about a species,
	...

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