Chris Rillahan

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@crillahan
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Chris Rillahan

I am a research associate at the University of Massachusetts School for Marine Science and Technology. My research focuses on developing technology to study fish behavior. I work closely with state/federal management agencies, commercial fishing and offshore wind industries.

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United States

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English

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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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Acoustics

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Latest Discussion
WILDLABS AWARDS 2024 - BumbleBuzz: automatic recognition of bumblebee species and behaviour from their buzzing sounds

Acoustic monitoring is one of our biggest and most active groups, with members collecting, analysing, and interpreting acoustic data from across species, ecosystems, and applications, from animal vocalizations to sounds from our natural and built environment

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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Camera Traps

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Latest Discussion
WILDLABS AWARDS 2024 - No-code custom AI for camera trap species classification

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

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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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!

Latest Resource
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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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Emerging Tech

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Latest Discussion
WILDLABS AWARDS 2024 – MothBox

Technology is changing and evolving faster than ever, and as it does, our community members are looking for the next big thing to revolutionize their conservation tech work. To chat about your favorite new tools that are just emerging in the field and discover innovations you haven't yet heard of, join this group!

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

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Marine Conservation

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Latest Discussion
Fully-retrievable Satellite Tags for Seals?

Bringing together many of our community's tech types like bioacoustics, biologging, drones, remote sensing, machine learning, and more, the Marine Conservation group is a meeting point to begin innovative collaborations and answer difficult questions.

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Update on SEE Shell App to identify illegal tortoiseshell products

SEE Shell is an innovative phone app that uses machine learning to identify products made from the shell of the critically endangered hawksbill sea turtle.

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Sustainable Fishing Challenges

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Latest Discussion
Drop-deployed HydroMoth

This group welcomes those in our marine conservation tech community to collaborate together on challenges related to sustainable fishing practices. Inspired by this thread focusing on minimising the impact of trawling gear on seafloor environments, the Sustainable Fishing Challenges group is a place to share resources, pose challenges, brainstorm creative solutions, and begin collaborative projects.

Latest Resource
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Ashored Innovations: Hardware and Software for Sustainable Fishing

In this Conservation Tech Showcase case study from Ashored Innovations, we’ll learn how conservation technology is transforming fishing techniques to safeguard marine wildlife.

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