# Biodiversity Monitoring

Page: https://stenobird.com/podcast/data-skeptic/biodiversity-monitoring
Text version: https://stenobird.com/podcast/data-skeptic/biodiversity-monitoring.md
Podcast: [Data Skeptic](https://stenobird.com/podcast/data-skeptic)
Published: 2024-08-14T02:04:00+00:00
Episode link: https://dataskeptic.com/blog/episodes/2024/biodiversity-monitoring
Audio file: https://pscrb.fm/rss/p/mgln.ai/e/35/traffic.libsyn.com/secure/dataskeptic/biodiversity-monitoring.mp3?dest-id=201630
Processing state: failed
JSON: https://stenobird.com/v1/public/podcasts/data-skeptic/episodes/biodiversity-monitoring
Duration seconds: 1940

## Resource

In this episode, we talked shop with Hager Radi about her biodiversity monitoring work. While biodiversity modeling may sound simple, count organisms and mark their location, there is a lot more to it than that! Incomplete and biased data can make estimations hard. There are also many species with very few observations in the wild. Using machine learning and remote sensing data, scientists can build models that predict species distributions with limited data. Listen in and hear about Hager's work tackling these challenges and the tools she has built.

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## Transcript

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