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!
Working in relation to ecosystem services
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- @jdomingo
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I am an enthusiast for nature, technology development, biodiversity conservation and nature inspired design. I posses a technical and environmental background, and I am looking to explore the potential that advance technology has to empower the field of nature conservation.

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- @och3k
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CIBIO-InBio
I am a PhD student working on wolf bioacoustics. I am combining Audiomoths and Deep Learning into more efficient wolf monitoring protocols. My main field of interest is population ecology.
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- @nadyam
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Michigan State University
Conservation geneticist at Michigan State University. Co-founder of iCatch. Solving problems in monitoring, traceability, and enforcement through rapid species identification tech.
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Passionate advocate for nature and experienced communicator, looking to explore opportunities to leverage technology in wildlife and marine conservation
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- @nlubcker
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Results-Driven R&D Project Manager | Data scientist | I'm a versatile professional with 10 years of global experience in conservation and research.
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- @mariahmeek
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Michigan State University
Dr. Mariah Meek is the PI and co-founder of iCatch, an Associate Professor at Michigan State University, and the Director of Research at The Wilderness Society.
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- @Alex.S
- | She/Her
MSc Marine Biologist and Data Scientist, Co-Founder and CSO & CTO of Galene Pathways
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PhD candidate studying the ethics of tech in human-animal interactions.
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- @Hansa
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- @valeria
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Studio Pixel
AI integration architect, AI product manager. I've built the front-end of this website 😁
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Wildlife on roads creates a significant hazard in rural areas, to humans and animals alike. Low-tech prevention methods such as overpasses give great results, but they are expensive and can’t cover every scenario. Now...
12 November 2024
The San Diego Zoo Wildlife Alliance Conservation Technology Lab seeks a postdoctoral associate for a three-year position applying their machine learning expertise to bioacoustics problems in ecology and conservation.
1 November 2024
The library enables to derive biophyiscal maps with a few lines of code (only requirements: region of interest, temporal domain and satellite sensor). All processing runs in the cloud using the openEO API and hence no...
20 October 2024
Very nice video!
7 October 2024
Paper by Natalie Klug et al
6 October 2024
The Marine Innovation Lab for Leading-edge Oceanography develops hardware and software to expand the ocean observing network and for the sustainable management of natural resources. For Fall 2025, we are actively...
6 October 2024
With this call, ESA offers 1-year fellowships to four African researchers to work at the ESA-ESRIN premises in Frascati (Rome, Italy) in collaboration with ESA scientists
4 October 2024
Based in the EU
3 October 2024
The Connected Conservation is thrilled to announce our award's third round in collaboration with the Airbus Foundation. This award champions the use of cutting-edge satellite imagery to tackle biodiversity loss and...
30 September 2024
The African Bioacoustics Conference!
18 September 2024
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Description | Activity | Replies | Groups | Updated |
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Odor based methods would be interesting. Provided they didn't need to be replenished too often.We find varied stimulus prevents habituation. |
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AI for Conservation, Conservation Tech Training and Education, Emerging Tech, Human-Wildlife Conflict | 8 months ago | |
Thank you John. |
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AI for Conservation | 8 months ago | |
Hello everyone!Check out our new paper on "Reliable and efficient integration of AI into camera traps for smart wildlife monitoring." We... |
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AI for Conservation | 8 months 1 week ago | |
Hi Karen,Yeah the discharge curves of lithium cells tend to be very stable for a long time and then drop sharply at the end. Akiba and Brett's advice below re: condensation... |
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Camera Traps, AI for Conservation | 8 months 2 weeks ago | |
Hi @benweinstein !Surely a general detector might be very useful for detecting objects in aerial imagery! Maybe something similar to what MegaDetector does in camera trap images,... |
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AI for Conservation, Open Source Solutions, Protected Area Management Tools, Drones, Geospatial | 8 months 2 weeks ago | |
Thank you!! |
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AI for Conservation | 8 months 3 weeks ago | |
Agreed. I have recently begun using SegmentAnything as a replacement for Detectron and have been very pleased. However, for a fish school I don't know how well it would do out of... |
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Data management and processing tools, AI for Conservation | 9 months 1 week ago | |
@DibblexLesalon looks like a great question for your team at Expert Drones Africa :) |
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AI for Conservation | 9 months 1 week ago | |
However, I think it's important to reflect further to determine exactly what needs to be done. |
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Climate Change, AI for Conservation, Animal Movement, Citizen Science | 9 months 2 weeks ago | |
Congrats on the publication! Great work! |
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AI for Conservation | 9 months 2 weeks ago | |
The German start-up Dryad is also working on early fire detection using sensors and AI. |
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AI for Conservation | 9 months 2 weeks ago | |
I found this interesting |
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AI for Conservation, Emerging Tech | 9 months 2 weeks ago |