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!
Key Conservation



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- @SrinivasSivakumar
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I am a an Engineer at Wild Life Conservation Trust, India looking to build some tech for the WildLife.
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- @katerakelly
- | she/her
I am a machine learning researcher (PhD UC Berkeley 2021) looking for opportunities to use my skills to help combat and mitigate climate change and support biodiversity. Research experience in few-shot learning, image recognition, and reinforcement learning.
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- 1 Groups
Durrell Institute of Conservation and Ecology (DICE), University of Kent
Conservation Science PhD student at DICE, Kent. I am a GIS and remote sensing enthusiast as well as researcher. Been in love with the interaction between AI and conservation ever since I picked up a python crash course book out of curiosity during my undergraduate degree.
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- @LouisaRC
- | she/her
LRC Wildlife Conservation
With 20 years of experience as a conservation practitioner, I have transitioned from a carnivore scientist to Dean, mentoring Africa’s next generation of conservation leaders. Now, as a consultant, I develop strategies integrating innovative Web 3.0 technologies for conservation.
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Conservation Director, Texas with National Audubon Society
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- @pchwalek
- | He/him/his
I'm a PhD candidate in the Responsive Environments Group, working on electronic systems for human and wildlife monitoring.



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I am a scientist with research background in evolutionary-ecological genomics and have impact at the senate level to prevent a government viral biocontrol release. UK based and looking to connect with passionate dreamers ready to shift paradigms
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MSc student in wildlife management and conservation


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- @LauraKloepper
- | she/her
Associate Professor at the University of New Hampshire. Our research aims to uncover behavioral principles underlying acoustic sensing, inspire the design of active sensing technology, and improve population monitoring for animal conservation.

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- @reny.tyson.moore
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Description | Activity | Replies | Groups | Updated |
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MIT has this Moo Deng-based fun challenge! More seriously it relates to AI and human-nature interaction. I imagine people on Wildlabs would... |
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AI for Conservation | 1 day ago | |
Hi Ethan, It's indeed a competitive area. My advice for you (and anybody else seeking a PhD supervisor)...Do background research on each individual potential supervisor and always... |
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Early Career, AI for Conservation, Animal Movement, Climate Change | 4 days 9 hours ago | |
Hi Nick,At Wildlife.ai, from the other side of the world, we would be happy to chat with you. PM if interested Victor |
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AI for Conservation, Emerging Tech | 2 days 11 hours ago | |
Hi everyone,What should we share or demo about Software Quality Assurance? Alex Saunders and I, the two Software QA people at Wildlife Protection Solutions (WPS) are going to... |
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Software Development, AI for Conservation, Open Source Solutions | 4 days 4 hours ago | |
My name is Frank Short and I am a PhD Candidate at Boston University in Biological Anthropology. I am currently doing fieldwork in Indonesia using machine-learning powered passive... |
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Acoustics, AI for Conservation, Animal Movement, Data management and processing tools, Early Career, Emerging Tech, Ethics of Conservation Tech, Protected Area Management Tools, Software Development | 2 weeks 1 day ago | |
This looks like a great application, thank you! I wonder if they are planning to run this study in future years. |
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AI for Conservation | 2 weeks 3 days ago | |
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Latin America Community, Acoustics, AI for Conservation, Camera Traps, Drones, Early Career | 2 weeks 6 days ago | ||
@LukeD, I am looping in @Kamalama997 from the TRAPPER team who is working on porting MegaDetector and other models to RPi with the AI HAT+. Kamil will have more specific questions. |
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AI for Conservation, Camera Traps | 3 weeks ago | |
Super happy to finally have Animal Detect ready for people to use. We are open for any feedback and hope to bring more convenient tools :) |
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AI for Conservation | 3 weeks ago | |
Hi Ștefan! In my current case, I am trying to detect and count Arctic fox pups. Unfortunately, Arctic fox does not seem to be included in the training data of SpeciesNet but... |
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AI for Conservation, Camera Traps | 3 weeks 1 day ago | |
Interesting. Thanks for the explanation. Nice to hear your passion showing through. |
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AI for Conservation, Camera Traps, Data management and processing tools, Open Source Solutions, Software Development | 3 weeks 3 days ago | |
📸 Do you use camera traps in your work? Take part in our survey!Hi everyone! I’m currently a final-year engineering... |
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Camera Traps, AI for Conservation, Data management and processing tools, Open Source Solutions, Software Development | 3 weeks 4 days ago |
News: The Latest in Conservation Tech (March 24)
24 March 2022 12:00am
Apply now: Women in Conservation Technology Programme, Kenya
8 March 2022 12:00am
BirdCLEF 2022 Kaggle Challenge

2 March 2022 12:00am
Introducing the WILDLABS On the Edge Fellows
10 February 2022 12:00am
WILDLABS Fellowships & Awards: Matchmaking between tech and conservation
28 January 2022 3:22pm
Deep Learning for Marine Ecology and Conservation
20 December 2021 12:00am
AI for Conservation Office Hours: are you interested?
8 October 2021 12:00pm
14 December 2021 2:47pm
We've now wrapped our first run of AI for Conservation Office Hours and you can read my review of how it went and lessons learned here.
Given the overall success of the programme, we're excited to announce that in early spring next year we will be coordinating a second round - so keep an eye out for further updates in the new year on the application and sign-up process.
Also, we'd love to know whether you'd be interested in having a 1:1 so comment below and tell us what conservation tech challenge you would like to cover or how a session could help you in your conservation work.
Many thanks,
Lucas
AI for Conservation Office Hours: 2021 Review
14 December 2021 12:00am
Low-cost underwater camera trapping and deep learning
30 November 2021 12:00am
The race to save California's rarest butterflies
29 November 2021 12:00am
Environmental Data Justice
26 November 2021 12:00am
Technical Difficulties: The Promise and Pitfalls of Machine Learning for Conservation

23 November 2021 12:00am
Caiman: Images as Sources of Intelligence
18 November 2021 12:00am
Try our open-source automatic camera trap detection/labeling tool!
12 November 2021 8:39pm
Opportunity: GEO-Microsoft Planetary Computer Programme
4 November 2021 12:00am
EarthRanger Announces Inaugural Conservation Tech Award Recipients
3 November 2021 12:00am
Opportunity: PhD or Postdoctoral Research Fellowships - Chinstrap penguin biologging
1 November 2021 12:00am
Using IoT and Machine Learning to help protect Kenya's Rivers
21 October 2021 12:00am
Tech Tutors: How do I analyze large acoustic datasets using PAMGuard?
14 October 2021 3:42pm
How do I analyze large acoustic datasets using PAMGuard?
7 October 2021 12:00am
Call for Papers: Special Issue on Computer Vision Approach for Animal Tracking and Modeling
20 September 2021 12:00am
Tech Tutors: How do I use AI to fight wildlife crime?
1 September 2021 10:59pm
Which are major open challenges that AI can help to solve in nature conservation ?
28 April 2021 9:15am
4 August 2021 5:00pm
I would perhaps ask this in a new thread, so the rest of the community can see it! (as opposed to a reply here, where only the people in the conversation are notified of more replies).
13 August 2021 10:04pm
Elizabeth Bondi has work on detection from thermal imagery taken by drones! I'd look at her papers :)
27 August 2021 10:51am
Looks good, but what is the added value compared to other examples as Obsidentify and Plantnet?
AI/ML Engineer Job at Dryad
26 August 2021 2:45pm
Widening the Bottleneck: Can Citizen Science Accelerate Conservation?
19 August 2021 12:00am
Open positions in ML & conservation/climate sci
18 August 2021 2:22pm
Geo for Good Lightning Talks: Nature Conservation

17 August 2021 12:00am
Building Sustainable Support with Edge Impulse
13 August 2021 12:00am
Accessible Tech and Real Impact with the WILDLABS Fellowship: On the Edge
9 August 2021 12:00am
WILDLABS Community Call: August 12th

4 August 2021 12:00am
25 October 2021 4:13pm
Hi Wildlabbers!
We're now going ahead with a small pilot of around ten 1:1 office hour sessions with Microsoft AI for Earth specialists. More details coming very soon.
For the time being sign-ups are now closed, but thank you to everyone who has been interested. We will keep you updated on how the 1:1s go and whether there will be further sessions to sign up for later in the year.
Cheers,
Lucas