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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- @Naythin
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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
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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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Link
Using computer vision to understand bee vision
Ellie Warren
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
Careers
3 year position - Trondheim, Norway
2 May 2023
Article
How can you tell if a photo is AI generated? Here are some tips.
Lars Holst Hansen
Article on www.nationalgeographic.com
27 April 2023
Link
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
Link
Feathered forecast: Tech tools comb weather data for bird migrations
Stephanie O'Donnell
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
Link
Segment Anything
Kate Wing
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
Careers
Project Manager, Rainforest Connection (RFCx)
Carly Batist
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
Link
The WILDLABS Variety Hour: March 2023 - YouTube
Stephanie O'Donnell
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
Link
BearID Interview with AWS
Ellie Warren
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
Link
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
Article
New paper in Journal of Animal Ecology
24 March 2023
Article
Ol Pejeta Conservancy and Mbaza AI
Andrzej Białaś
💙 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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July 2025
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| Description | Activity | Replies | Groups | Updated |
|---|---|---|---|---|
| Play FathomVerse: App Store | Google Play Join the Community: Discord | Instagram | TikTok | LinkedInStay up-to-date: ... |
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Marine Conservation, AI for Conservation, Citizen Science | 1 month 4 weeks ago | |
| Really looking forward to following this project. I'm very curious how you'll be able to tease out different species, particularly among species that feature a variety of worker... |
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Acoustics, AI for Conservation | 1 month 4 weeks ago | |
| I am interested in the use of Large Language Models (LLMs) for conservation, specifically in how they can be improved with Retrieval-... |
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AI for Conservation | 1 month 4 weeks ago | |
| Yep see you on friday |
+3
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Geospatial, Acoustics, AI for Conservation, Camera Traps, Citizen Science, Community Base, Data management and processing tools, Emerging Tech, Open Source Solutions, Protected Area Management Tools | 1 month 4 weeks ago | |
| Yep we are working on it 1/ segment 2/remote unwanted ecosytem3/get local potential habitat4/generate5/add to picture |
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Geospatial, AI for Conservation, Data management and processing tools, Open Source Solutions, Software Development | 1 month 4 weeks ago | |
| All sound, would be nice if there were only 5, though! |
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AI for Conservation, Citizen Science, Data management and processing tools, Emerging Tech, Ethics of Conservation Tech, Funding and Finance, Geospatial, Open Source Solutions, Software Development | 1 month 4 weeks ago | |
| I'm sure others here can comment better than I on models for classifying animal sounds, but from an ML pint of view, a key concern is getting enough data. 10 recordings does not... |
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AI for Conservation, Animal Movement, Human-Wildlife Conflict | 2 months ago | |
| Hi WILDLABS Community,I’m Simon Juma from Kenya, working on a project to track and manage Red-billed Quelea birds, which... |
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AI for Conservation, Sensors | 2 months ago | |
| Hi everyone, I’m excited to become a member of Wild Lab! I’m currently working on my master’s thesis, focusing on dormouse conservation. My research explores the behavioral... |
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AI for Conservation, Animal Movement, Camera Traps, Citizen Science, Community Base, Data management and processing tools, Early Career, Geospatial | 2 months 1 week ago | |
| That's amazing thanks so much! |
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Acoustics, AI for Conservation, Data management and processing tools, Early Career | 2 months 2 weeks ago | |
| Thanks again for the interesting discussion everyone! Just a note that while I touched on it in my opening post above, there were still questions in this thread about what... |
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Open Source Solutions, AI for Conservation, Ethics of Conservation Tech, Software Development | 2 months 2 weeks ago | |
| Thanks @VAR1 great insights! Funny you mentioned the honey thing, @hikinghack said the same in response on the GOSH forum. I think the point I'm trying to make with the vegan... |
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Open Source Solutions, AI for Conservation, Conservation Tech Training and Education, Ethics of Conservation Tech, Geospatial, Software Development | 2 months 2 weeks ago |
The Wildlife Society Conference
19 June 2023 5:59am
Catch up with The Variety Hour: June 2023
16 June 2023 11:43am
AI Prompt Engineer in Dublin, DGB Group
15 June 2023 3:32pm
CV4Animals: Computer Vision for Animal Behavior Tracking and Modeling
15 June 2023 12:39pm
FathomNet Workshop @CVPR 2023
15 June 2023 12:27pm
Apply for the Google for Startups Accelerator: Climate Change Middle East & Africa Program
9 June 2023 1:54pm
Celebrating World Oceans Day: Revitalizing the marine ecosystem with technology-driven engineered reefs to accelerate CO2 capture
9 June 2023 10:14am
Think | IBM
Experience an integrated media property for tech workers—latest news, explainers and market insights to help stay ahead of the curve.
Imageomics Institute Image Datapalooza, August 2023
2 June 2023 11:44pm
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!
10 AI for the Planet Projects you should be excited about
25 May 2023 11:07am
Looking for AI volunteer positions
24 May 2023 5:41am
24 May 2023 3:45pm
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
Mbaza AI recognized by UNESCO & new team member
17 May 2023 8:49pm
Happywhale: AI-Powered Whale Identification
16 May 2023 10:00am
Lecturer/Associate Professor of Ecology and Innovative Technologies
16 May 2023 9:25am
Deadline Approaching: Conservation Tech Award
15 May 2023 10:21pm
Photo Quadrats, AI, and MERMAID: A Case Study from Mozambique
12 May 2023 3:44pm
AI for Conservation Office Hours: 2023 Review
Dan Morris
and 1 more
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?
GRO is the story of what on Earth is going on
5 May 2023 1:50pm
Using computer vision to understand bee vision
5 May 2023 1:10am
How can you tell if a photo is AI generated? Here are some tips.
29 April 2023 3:35pm
[Recordings Now Available!) EarthRanger User Conference
27 April 2023 5:52am
Looking to contribute
27 April 2023 2:41am
Artificial Intelligence and Conservation: Closing Session
26 April 2023 8:54pm
Artificial Intelligence and Conservation with Lily Xu
26 April 2023 8:41pm
Feathered forecast: Tech tools comb weather data for bird migrations
26 April 2023 2:50pm
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.