Today, we are going to talk with Zan Aslett, a remote sensing scientist and geophysicist with deep expertise in analyzing large datasets—like those 18,300 hours of recordings scientists used to uncover why birds call out during their seemingly solitary nighttime migrations. Definitely go back and listen to Episode 9 if you missed it! With Zan’s help, we’re going to break down how machine learning was applied to this enormous dataset and get a few tips on how to use ChatGPT that are truly gamechangers for our everyday lives. Oh, and Zan is rather importantly my husband — but don’t hold that against him.

Stories:

https://www.scientificamerican.com/article/migrating-birds-sing-to-team-up-with-other-species/

https://www.cell.com/current-biology/abstract/S0960-9822(24)01701-9

Music: The Weeknd from wish by Lundstroem is licensed under a Attribution 4.0 International License. https://freemusicarchive.org/music/lundstroem/songs-i-regard-terrible/the-weeknd-from-wish/

This is Stephanie Jenkins Aslett, thanks for listening. If a particular story piqued your interest, be sure to check out the show notes for more details. If you have a story that you would like to spread the awareness of, I would love to highlight it in my podcast. Just let me know in the comments or send a note to thebirdbrief@gmail.com. Please tune in next time for The Bird Brief - your rundown, or should I say featherdown, of the birds we love.

S2 E10: Machine Learning Is For The Birds