With new technologies revolutionizing data collection, wildlife researchers are becoming increasingly able to collect data at much higher volumes than ever before. Now we are facing the challenges of putting this information to use, bringing the science of big data into the conservation arena. With the help of machine learning tools, this area holds immense potential for conservation practices. The applications range from online trafficking alerts to species-specific early warning systems to efficient movement and biodiversity monitoring and beyond.
However, the process of building effective machine learning tools depends upon large amounts of standardized training data, and conservationists currently lack an established system for standardization. How to best develop such a system and incentivize data sharing are questions at the forefront of this work. There are currently multiple AI-based conservation initiatives, including Wildlife Insights and WildBook, that are pioneering applications on this front.
This group is the perfect place to ask all your AI-related questions, no matter your skill level or previous familiarity! You'll find resources, meet other members with similar questions and experts who can answer them, and engage in exciting collaborative opportunities together.
Just getting started with AI in conservation? Check out our introduction tutorial, How Do I Train My First Machine Learning Model? with Daniel Situnayake, and our Virtual Meetup on Big Data. If you're coming from the more technical side of AI/ML, Sara Beery runs an AI for Conservation slack channel that might be of interest. Message her for an invite.
Header Image: Dr Claire Burke / @CBurkeSci
Explore the Basics: AI
Understanding the possibilities for incorporating new technology into your work can feel overwhelming. With so many tools available, so many resources to keep up with, and so many innovative projects happening around the world and in our community, it's easy to lose sight of how and why these new technologies matter, and how they can be practically applied to your projects.
Machine learning has huge potential in conservation tech, and its applications are growing every day! But the tradeoff of that potential is a big learning curve - or so it seems to those starting out with this powerful tool!
To help you explore the potential of AI (and prepare for some of our upcoming AI-themed events!), we've compiled simple, key resources, conversations, and videos to highlight the possibilities:
Three Resources for Beginners:
- Everything I know about Machine Learning and Camera Traps, Dan Morris | Resource library, camera traps, machine learning
- Using Computer Vision to Protect Endangered Species, Kasim Rafiq | Machine learning, data analysis, big cats
- Resource: WildID | WildID
Three Forum Threads for Beginners:
- I made an open-source tool to help you sort camera trap images | Petar Gyurov, Camera Traps
- Batch / Automated Cloud Processing | Chris Nicolas, Acoustic Monitoring
- Looking for help with camera trapping for Jaguars: Software for species ID and database building | Carmina Gutierrez, AI for Conservation
Three Tutorials for Beginners:
- How do I get started using machine learning for my camera traps? | Sara Beery, Tech Tutors
- How do I train my first machine learning model? | Daniel Situnayake, Tech Tutors
- Big Data in Conservation | Dave Thau, Dan Morris, Sarah Davidson, Virtual Meetups
Want to know more about AI, or have your specific machine learning questions answered by experts in the WILDLABS community? Make sure you join the conversation in our AI for Conservation group!
No showcases have been added to this group yet.
- @Lilli
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Ocean nerd, personally and professionally 🌊Engagement Coordinator for FathomNet and FathomVerse
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Sea Mammal Research Unit Univ' St Andrews
I work in marine bioacoustics with a focus on the conservation of marine mammals. Most of the time I'm developing and using passive acoustic technology to study the underwater behaviour of dolphins and porpoises. I'm also a keen developer on the PAMGuard project.
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BirdLife International
I deliver policy and advocacy components of cross-regional projects and initiatives concerning international site-based conservation, including through international mechanisms such as the Ramsar Convention, Convention on Migratory Species (CMS) and World Heritage Convention.
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- @billoxbury
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Mathematician and data/AI scientist, interested in environmental applications; wildlife photographer and volunteer.
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- @TheDataEnthusiastic
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Hi, I'm pursuing Master's in Data Science. And I want work help protect nature and wildlife.
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World Wide Fund for Nature/ World Wildlife Fund (WWF)
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This climate crisis does not have to be a story of loss but rather a story of redemption, rebirth, and change. My paintings capture the spiritual nature, the grounding energy of our shared existence with the natural world. AML-ART.COM
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Conservation biologist obsessed with frogs
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I am a Geoscientist interested in using geospatial data science to contribute to solutions of today’s environmental challenges. I mostly worked with land surafce temperature data from satellites and drones to study how high mountain landscapes respond to climate change.
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Careers
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26 August 2022
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Ceres Wild Rhino application
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Lead Software Engineer for ARISE
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19 August 2022
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Lead Software Engineer, Wildlife Insights
Nicole Flores
Are you creative, love new challenges and have experience developing software? The Wildlife Insights team is hiring! Join a diverse team of ecologists, data scientists, engineers and machine learning experts to protect...
10 August 2022
Careers
The Marine Robotics and Remote Sensing (MaRRS) Lab at Duke University seeks a highly motivated UAS pilot and geospatial analyst to support the ongoing development of new and existing research and conservation programs,...
10 August 2022
Link
Hi folks! I built out a human-in-the-loop annotation platform for Felidae Conservation Fund, a SF-Bay Area nonprofit last Fall using MegaDetector. I'm looking for feedback from this amazing community around areas of...
10 August 2022
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The Marine Robotics and Remote Sensing (MaRRS) Lab at Duke University seeks a highly motivated postdoctoral researcher to support the ongoing development of new and existing research and conservation programs, both...
10 August 2022
Link
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8 August 2022
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Tiger, Tiger, in the Night... Now Visible in Real Time
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Press Release for International Tiger Day – July 29th, 2022: For the first time ever, wild tigers and their prey have been detected by AI-powered, cryptic cameras that transmit the images to the cell phones and...
5 August 2022
Article
What is embedded ML, anyway?
Edge impulse
A gentle introduction to the exciting field of embedded machine learning.
5 August 2022
Careers
Wild Me is hiring
Jason Holmberg
We're looking to grow our engineering and ML teams.
3 August 2022
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| Description | Activity | Replies | Groups | Updated |
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| Hi Jason, Thanks for sharing this demo, it's interesting to see the fluke id process in action. Is this part of the flukebook project? How do you see the project... |
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AI for Conservation | 9 years 2 months ago | |
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AI for Conservation | 9 years 7 months ago | |
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