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!
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finding ecological solutions using sound and conservation tech
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Currently a data scientist in industry working on mechanistic models of risk, previously worked on modeling coral reefs. I am interested in the potential for emerging technologies and new ideas to help us solve environmental crises.
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Fauna & Flora
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PhD researcher standardising machine learning approaches for behaviour classification in free-roaming wild animals.
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Game Rangers International
Kasi Amor Kalande is a young conservationist with experience in elephant movement research, GIS, and conservation technology.
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I’m a nature enthusiast who loves exploring wildlife and ecosystems. Through my research in ecology, I channel this passion into protecting and preserving biodiversity.
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Founder of Life on Purpose Detroit, we work with Detroit Youth to learn about technology and conservation.
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I'm a conservationist working in the Vulture conservation space in South Africa with a huge passion for technology.
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Computer Scientist
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Dedicated research scientist with over 8 years of experience in cartography, spatial analysis, and statistical modeling to tackle environmental, public health, and socio-economic challenges. Passionate about leveraging geospatial technology to drive impactful solutions.
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The recent Ramsar Conference in Victoria Falls, Zimbabwe, underscored the critical importance of wetland conservation and the need for innovative solutions to protect these vital ecosystems.
16 August 2025
The AI for Climate Resilience Program is a new initiative by Klarna that aims to support pioneering projects that leverage artificial intelligence for climate adaptation in underserved, climate-vulnerable regions.
6 August 2025
Read about the advice provided by AI specialists in AI Conservation Office Hours 2025 earlier this year and reflect on how this helped projects so far.
6 August 2025
If you're a Post-Doctoral Fellow, a PhD student, or a member of the research staff interested in applying your computational skills to support active research publications, please read on to learn about the Cross-...
5 August 2025
If you're a PhD student, post-doc, advisor, or marine expert - Plan Vivo is looking for you!
5 August 2025
A free, self-paced course series for nonprofit professionals is available through August 31.
31 July 2025
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The GeoCroissant team is conducting a short survey (5–10 minutes) to better understand user needs and preferences around geospatial metadata in machine learning. Your input will support the development of an open...
28 July 2025
Careers
This role will investigate the potential of large-scale deep learning models, for constructing 3D models of coral reefs
28 July 2025
🔥 Excited to join the WILDLAB community! I’m Robert Chonge — a Full Stack Developer with a passion for AI and Big Data, now channeling that tech firepower toward environmental conservation.Let’s turn data into action...
26 July 2025
El Instituto Humboldt está buscando un(a) Desarrollador(a) de Inteligencia Artificial que quiera aplicar su experiencia en Python y procesamiento de lenguaje natural para proteger la biodiversidad.
25 July 2025
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 2026, we are actively...
24 July 2025
Dear colleagues, I'd like to share with you the output of the project KIEBIDS, which focused on using AI to extract biodiversity-relevant information from museum labels. Perhaps it can be applied also to other written...
17 July 2025
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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 5 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 4 months 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 9 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 10 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 10 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 11 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 11 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 2 months 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 3 months 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 4 months 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 10 months ago | |
We are working on the identification of the threats along the flyway of the Egyptian vulture, endangered vutlure species migrating from... |
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AI for Conservation | 9 years 2 months ago |