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!
Zoologist, currently serving as Head of Field Studies at Absolute Adventure (UAE). An environmental education professional with expertise in program development: field studies, wildlife conservation, research-based fieldwork, and outdoor education.
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- @LukeSwaby
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Data Research Scientist at a leading multinational aerospace and defence company, looking to transition to a career in conservation AI. Experience covering a broad range of cutting-edge research topics across bioinformatics and machine learning.
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- 5 Discussions
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Control and Automation Engineer, currently enrolled in the Automation and Systems Postgraduate Program at Federal University of Santa Catarina (UFSC) in Brazil to obtain a Master's degree. Areas of interest: Multi Agent Systems, Artificial Intelligence, Robotics.
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I'm a PhD student at UW working with the Smithsonian and Center for One Health Research. I develop models to predict and explain zoonotic disease patterns, with a strong emphasis on how these diseases impact wildlife populations and communities sharing the same landscape.
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- 9 Discussions
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World Wide Fund for Nature/ World Wildlife Fund (WWF)
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- @Rewildman
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Eco-entrepreneur. Concerned with the fundamental interconnectedness of all things creative and environmental.
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Monitoring and Evidence Manager, Kent Wildlife Trust
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- 1 Discussions
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- @Naythin
- | He/Him
I’m an 18-year-old passionate about wildlife conservation and interested in how technology can help protect endangered species. I’m just starting out and eager to learn more about AI, and conservation.
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- @emmlub
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Interested in soil health and acoustic monitoring
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- @johnjoseph
- | He/Him
I am a mechanical engineer with diverse industry experience and a passion for innovative technology. As a technology and engineering entrepreneur, I focus on creating solutions that blend advanced engineering with a commitment to nature and forest conservation.
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- @tobiaspetri
- | he/him
Schäuffelhut Berger GmbH
data science & algorithmic developmentfor movement ecology
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PhD student in animal biology working on AI for wildlife conservation
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| Description | Activity | Replies | Groups | Updated |
|---|---|---|---|---|
| Hi Colin, At the BearID Project, we are working on a similar problem for brown bears. We are currently using machine learning methods developed for human facial recognition (... |
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AI for Conservation | 6 years 2 months ago | |
| Hi Ollie, Great article, thank you! I mostly work with responsible AI in other contexts, at Doteveryone.org.uk and the Trust & Technology Initiative at the... |
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AI for Conservation | 6 years 3 months ago | |
| In case you missed it, last year the British Ecological Society published A Guide to Reproducible Code in Ecology and Evolution... |
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AI for Conservation | 7 years 1 month ago | |
| Hey Steffen, I know you've had a student working on this challenge for the past year - how is this project progressing? If you (or your student) have a moment,... |
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AI for Conservation | 7 years 6 months ago | |
| Hi Kate, It's really exciting to hear that you've now launched the challenge, congratulations on getting to this point! It's going to be interesting to... |
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AI for Conservation | 7 years 7 months ago | |
| If you're interested, you can check out the live recordings from past events (links below take you to the videos): August: The Blockchain The Blockchain's potential... |
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AI for Conservation | 7 years 8 months ago | |
| Hypraptive and Brown Bear Research Network collaboration to develop a deep learning, brown bear face identification system: BearID Project. [Disclosure: I am a member of... |
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AI for Conservation | 7 years 8 months ago | |
| It looks like they haven't updated for a couple of years do you know if it is still active or are they changing to a different system like tensor flow? |
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AI for Conservation | 7 years 8 months ago | |
| Here' s a press release we put out today talking about how we're using a deep convolutional neural network to find and curate whale... |
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AI for Conservation | 8 years ago | |
| For those interested: in the acoustics channel I have posted news on our sound event recognition sensor, using conv-net: https://... |
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AI for Conservation | 8 years ago | |
| Ah! Thanks for posting this Tom. It's such a well designed, simple to understand video series, and the backing track is utterly delightful. Given the... |
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AI for Conservation | 8 years 1 month ago | |
| Hello all, I'm looking at using a combination of machine learning and satellite imagery to identify and count individual animals,... |
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AI for Conservation | 8 years 7 months ago |
The Wildlife Society Conference
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CV4Animals: Computer Vision for Animal Behavior Tracking and Modeling
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ISO Speakers for Emerging Technologies class.
31 May 2023 4:29pm
2 June 2023 2:08pm
Carly, that would be great! Thanks! I work with soundscapes and love the work of Rainforest Connection! I'll send you an email (@CUNY) to coordinate!
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Looking for AI volunteer positions
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Hi Donya! You might check out the Conservation Tech Directory to see what projects/organizations/tools best align with your interests and skills.
Director of Research
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Happywhale: AI-Powered Whale Identification
16 May 2023 10:00am
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11 May 2023 10:00am
Crowdsourcing individual ID for pop dyn?
1 May 2023 5:36pm
5 May 2023 6:15pm
That sounds like a really neat project! Do fish get re-caught often enough that individual ID is useful? Is sample bias (more data from popular spots) an issue?
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Using computer vision to understand bee vision
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Looking to contribute
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Congo Basin activity?
30 March 2023 9:14pm
25 April 2023 5:08pm
greetings!
i sent you a PM regarding this, feel free to contact me however is most convenient for you -
regards,
chris
31 May 2023 10:21pm
Definitely interested! I'm in the ecoacoustics/acoustic monitoring space, working at Rainforest Connection and Arbimon.