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!
- @volkankorkmaz
- | volkan
I have been working at the Underwater Association , to protect nature since 94 . Since 1992, I have been a PADI diving instructor
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Smart Parks
Founder of Smart Parks - www.smartparks.org / Founder of OpenCollar - https://opencollar.io



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Dzanga-Ndoki national park biodiversity monitoring



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- @derekrisch
- | He/Him
I'm a conservation ecologist working on invasive mammalian species. Use a variety of monitoring methods which provide an enormous amount of data (yay!) but require a lot of effort to process (nay!). Love keeping up to date on newest tech.
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- @cleo
- | She/Her
Southern African Wildlife College
I am ecologist working in African conservation areas who loves wildlife & wild landscapes. I increasingly recognize that conservation is about people, especially those living in & around protected areas. Finding ways to benefit marginalized people is my passion.

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Technologist, birder, photographer and mountain guide.
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- @vandita_shukla
- | she/her
PhD candidate studying drone flight planning for enabling tracking and identification of individual characteristics of wildlife; member of the WildDrone, an MSCA Doctoral Network funded by the European Union’s Horizon Europe research
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- @TheDataEnthusiastic
- | He/Him
Hi, I'm pursuing Master's in Data Science. And I want work help protect nature and wildlife.
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Here's an innovative project from the Harvey Mudd College Bee Lab that could help us understand how bees view their environments, and thus better protect bee habitat. This project uses computer vision and drone imagery...
5 May 2023
3 year position - Trondheim, Norway
2 May 2023
Article on www.nationalgeographic.com
27 April 2023
WWF's recent Fuller Seminar Series on Artificial Intelligence and Conservation featured some familiar faces from the WILDLABS community, including our past Tech Tutor Lily Xu! Check out her presentation talking about AI...
26 April 2023
Since its launch in 1999, the BirdCast project has used weather radar data to track and forecast bird migrations across the U.S. In recent years, technology such as cloud computing and machine learning have helped make...
26 April 2023
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Our lead engineer just shared this tool for segmenting images and we're excited to test it out on our fishy & underwater pix. Has anyone else used it?
13 April 2023
The Project Manager will work to implement acoustic monitoring projects in countries worldwide with some of the biggest stakeholders in conservation tech and biodiversity monitoring!
12 April 2023
If you missed our Variety Hour show yesterday, do not fear! It's already live on youtube for your viewing pleasure. Enjoy!
30 March 2023
Ed Miller of the BearID Project shared this great interview on Twitter and gave WILDLABS a shoutout! If you're new to the AI for Conservation community, you'll want to learn about the BearID Project, which began as a...
29 March 2023
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Four key recommendations for how data science and AI can be better harnessed to tackle climate change: 1. Apply cutting-edge data science and AI to environmental decision-making. 2. Foster a community of AI...
27 March 2023
New paper in Journal of Animal Ecology
24 March 2023
💙 Exciting news from Appsilon! Our flagship project, Mbaza AI, is expanding its impact on nature and biodiversity conservation. We’ve teamed up with the 🦏 Ol Pejeta Conservancy to build a model for classifying images of...
16 March 2023
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Description | Activity | Replies | Groups | Updated |
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Linkedin mainly. iNaturalist and eBird ofc but these are more communities than real social networks. But, and this is a real advice, a good RSS feed reader with all your... |
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AI for Conservation, Community Base | 2 months 3 weeks ago | |
Hi Maureen, thanks a lot for this. Seemed more or less perfect so I applied :)Also didn't realise there was a slack community so I'll be scanning that too... |
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AI for Conservation | 2 months 3 weeks ago | |
Hey everyone,On Monday, we are starting the test phase of our first MVP version!We are looking for a limited number of testers and still... |
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AI for Conservation | 2 months 3 weeks ago | |
Hi Dan, Not right now but I can envision many uses. A key problem in RS is data streams for validation and training of ML models, its really not yet a solved problem. Any... |
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Emerging Tech, AI for Conservation, Animal Movement, Build Your Own Data Logger Community, Camera Traps, Connectivity, Conservation Tech Training and Education, Data management and processing tools, Geospatial, Sensors | 3 months ago | |
Thanks @eugenegalaxy . Much appreciated and I will go through this thoroughly! |
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AI for Conservation | 3 months ago | |
Hey Bob, thanks for the kind words! Your articles on Winterberry Wildlife have really been a big inspiration for me! There are extremely limited numbers of articles on trial... |
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AI for Conservation, Camera Traps | 3 months ago | |
This is probably the most realistic one I've seen made by this tool (stable-difussion v1.5) |
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AI for Conservation | 3 months ago | |
We just wanted to share this news outside the core robotics community - hoping to connect more with conservationists, researchers,... |
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AI for Conservation, Drones | 3 months 1 week ago | |
Hi Lucie @luciegallegos ,Great to see ecoSecrets and happy to collaborate in any way I can! All EcoAssist's models are open-source, and the inference code too. With regards to... |
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Software Development, AI for Conservation, Camera Traps | 3 months 1 week ago | |
Another question. Right now pretty much all camera traps trigger on either PIR sensors or small AI models. Small AI models would tend to have a limitation that they would... |
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AI for Conservation, Camera Traps, Data management and processing tools, Open Source Solutions, Software Development | 3 months 1 week ago | |
Hi Lucille,Thank you for your reply! We’d be really interested in learning more about your developments. We’ll contact you soon to arrange a discussion.Thank you.Best regards,... |
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Acoustics, AI for Conservation, Sensors | 3 months 2 weeks ago | |
Hi Lorenzo,I highly recommend the OpenSoundscapes package (developed by the Kitzes Lab at U Pittsburgh) - there are workflows to build your own CNNs there, the documentation is... |
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Acoustics, AI for Conservation, Animal Movement, Open Source Solutions | 3 months 2 weeks ago |