Interested in acoustic ID in animals? 🐾🎤

We put 16 mammal datasets through a vocal showdown—MFCCs and Random Forests came out on top 🏆

Want cleaner, comparable caller ID across species?
We've got guidelines and ready-to-use functions for that🥳
#Bioacoustics #WildlifeTech #MachineLearning

Super interesting PhD position working with a great team @primatenzentrum.bsky.social And lemurs!

SFB Paper Alert!

That’s teamwork: 14 SFB members across nine projects put together a perspective paper on “Computer vision for primate behavior analysis in the wild”, which was published in @naturemethods.bsky.social

www.nature.com/articles/s41...

We highlight the latest advancements in multi-animal detection, tracking, identification and (inter)action understanding & identify challenges to be addressed #animalbehaviour #animalbehavior #computervision #machinelearning #wildlifeconservation
read more here: www.nature.com/articles/s41...
2/2

It's a 2-paper kinda week 😎
Exciting news for animal behaviour researchers! Our new paper is out now in @naturemethods.bsky.social, exploring the intersection of computer vision and animal behaviour. Congrats to lead author @richardvogg.bsky.social and everyone who worked so hard on this one
🧵1/2

Thanks to the staff at the Forêt des Singes & everyone who contributed to this project! We hope that our findings will contribute to the development of more efficient and effective methods for studying animal social networks. Read the full paper to learn more! 9/9 authors.elsevier.com/a/1kv83mjMA3iZ

Our study highlights the importance of validating new methods against traditional approaches. By doing so, we can ensure that our research is robust and reliable, and that we're using the best tools available to understand and protect animal populations. #researchintegrity #researchmethods 8/9

So, what does this mean for researchers and conservationists? While single-file movement data might not be suitable for fine-grained social network analysis, it could be a useful "quick and dirty" method for pilot studies or monitoring population-level changes. #conservationtools 7/9

However, when we looked at the broader community structure, we found that the single-file movement data and traditional methods converged on similar estimates. This suggests that single-file movement data might be useful for coarse estimation of group-level structure #communitydetection 6/9

The results were... mixed. While we found some similarities between the single-file movement data and traditional methods, the associations were weak and not always reliable 5/9

We collected data on the order of individuals in single-file movements and used it to estimate the social network of our macaque group. Then, we compared the results to more traditional methods: scan sampling and focal observations 4/9

Traditional methods for collecting animal social network data can be challenging, taking a lot of time and effort. We wanted to see if observing single-file movements could provide a quicker, easier alternative. #wildliferesearch #conservation 3/9

We explored a recently suggested, less labour-intensive method for studying animal social networks: analysing single-file movements. But does it work? We put it to the test with a group of Barbary macaques. #animalbehaviour #primatebehaviour #socialnetworks 2/9

👋🦋
First post AND first new paper on the butterfly app! authors.elsevier.com/a/1kv83mjMA3iZ

'Estimating social network metrics from single-file movements in Barbary macaques, Macaca sylvanus'
with @julxf.bsky.social @primatenzentrum.bsky.social out now in #AnimalBehaviourJournal
Read🧵 for more! 1/9