Jessi Stamn

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@jsstamn
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Jessi Stamn

PhD student at the University of Mississippi; research interests include predator/prey dynamics, particularly the landscape of fear in relation to species conservation. Rookie at using arduino

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United States

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English

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Build Your Own Data Logger Community

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Latest Discussion
WILDLABS AWARDS 2024 - FinDrop: Accessible Acoustic Monitoring for Mesophotic Marine Environments

Welcome to the official group forum for our virtual course, Build Your Own Data Logger. This is your space to engage with course instructors Akiba and Jacinta from Freaklabs, find help and resources for each module, collaborate and chat with your fellow course participants, and share your progress on your own Data Logger project!

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Module 8: In the Field

Welcome to the eighth and final module of our Build Your Own Data Logger virtual course. We’ve built, coded and tested our data logger. Now we’re taking it into the field.

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AI for Conservation

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Latest Discussion
Faces, Flukes, Fins and Flanks: How multispecies re-ID models are transforming Wild Me's work

Artificial intelligence is increasingly being used in the field to analyse information collected by wildlife conservationists, from camera trap and satellite images to audio recordings. AI can learn how to identify which photos out of thousands contain rare species; or pinpoint an animal call out of hours of field recordings - hugely reducing the manual labour required to collect vital conservation data.

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Join the Seeed Vision Challenge and Explore Conservation Tech!

Join the Seeed Vision Challenge, an opportunity for conservation innovators to harness the power of AI vision sensors for environmental monitoring and protection.

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Biologging

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Latest Discussion
TagRanger: Redefining animal tracking iwth ad-hoc wireless networks and software-defined technology

Real-time tracking of animal movements is enabling more effective and efficient wildlife monitoring for management, security, and research. As devices get smaller and prices drop, the possibilities for using biologging on a larger scale have grown, and so have the possibilities for increasing customisation to meet specific research needs. Likewise, real-time tracking of illegal wildlife trade, timber, and fish products as they move from source to consumer can shed light on trafficking routes and actors, as well as support enforcement, making tracking gear a powerful tool beyond the field.

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The Variety Hour: 2024 Lineup

You’re invited to the WILDLABS Variety Hour, a monthly event that connects you to conservation tech's most exciting projects, research, and ideas. We can't wait to bring you a whole new season of speakers and discussions!

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Camera Traps

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Latest Discussion
Newt belly pattern for picture-matching

Looking for a place to discuss camera trap troubleshooting, compare models, collaborate with members working with other technologies like machine learning and bioacoustics, or share and exchange data from your camera trap research? Get involved in our Camera Traps group! All are welcome whether you are new to camera trapping, have expertise from the field to share, or are curious about how your skill sets can help those working with camera traps.

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The Variety Hour: 2024 Lineup

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Data management and processing tools

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Newt belly pattern for picture-matching

Conservation tech work doesn't stop after data is collected in the field. Equally as important to success is navigating data management and processing tools. For the many community members who deal with enormous datasets, this group will be an invaluable resource to trade advice, discuss workflows and tools, and share what works for you.

Latest Resource
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Underwater advertisement call of the threatened Telmatobius rubigo (Anura: Telmatobiidae

In a recent publication we tested Underwater Passive Acoustic Monitoring (UPAM) as a feasible non-invasive technique to study the calling behavior of therathened aquatic Andean frogs under natural conditions in the extreme environments of PUNA in the central Andes of Argentina

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