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!
No showcases have been added to this group yet.
MSc in AI for Sustainable Development at UCL
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I'm a computer engineer with a master's degree in Artificial Intelligence, I love nature and wildlife
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Snow Leopard Trust



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Colorado State University
I am a graduate student at Colorado State University working to develop novel acoustic technology for remotely monitoring wildlife.


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PhD in Animal Ecology and Behavioural Physiology. Interested in the movement, behavioural and physiological responses of animals to environmental variability.
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20+ years traveler and management consultant turned tech founder and conservationist. Founder & CEO of ZAMBEZI ZERØ; super intelligence to safeguard biodiversity.
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Jacqueline Ramos explains how artificial intelligence can help to track and prevent chimpanzee trafficking across the globe.
6 February 2019
The Open Data Institute and the Office for AI are partnering to explore how data trusts could help to solve environmental, societal and industry challenges by enabling increased access to data while retaining trust....
31 January 2019
With the aim of advancing rewildling-related technology in the UK and introducing new talent and ideas into the field of rewildling, Ecosulis is thrilled to announce the launch of their first ever Rewilding Tech...
14 January 2019
A team of Brazilian biologists supported by the Conservation Leadership Programme (CLP) is unlocking the secrets of one of the world’s most fragile and threatened biodiversity hotspots thanks to the success of a...
22 November 2018
Ted Schmitt joined us for a lunchtime lecture in which he shared his experiences working across Africa the past five years with protected area managers, anti-trafficking organisations, and scientists to effectively...
22 November 2018
Machine learning is widely recognized as the solution to camera trap data processing, but a user-friendly and broadly-accessible system for putting this tech to use has not yet been developed. In this case study,...
1 October 2018
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In this case study, conservation ecologist Ayesha Tulloch takes us behind the scenes of her recent paper, which came out in Nature Ecology & Evolution earlier this month. In this paper, Ayesha and her team present a...
20 August 2018
The winners of our Human Wildlife Conflict Tech Challenge are offering regular updates throughout the year to chronicle their failures, successes and what they learn along the way as they develop their solutions. In...
27 July 2018
Looking to prototype or pilot a new conservation tech idea or approach? Conservation X Labs is running an idea competition for teams to create a first draft (i.e. prototype) of their conservation solution. 20 finalists...
11 June 2018
Conflict between humans and wildlife is increasing as human communities expand and wild habitats are destroyed, prompting need for new mitigation techniques. As a winner of the Human Wildlife Conflict Tech Challenge,...
19 April 2018
Hundreds of people joined our #Tech4Wildlife photo challenge this year, showcasing all the incredible ways tech is being used to support wildlife conservation. We've seen proximity loggers on Tasmanian Devils in...
3 March 2018
Following the UK Government’s landmark announcement of plans to introduce a complete ban on the domestic trade in ivory, it was fitting that a new machine learning product designed to tackle the supply end of this...
6 December 2017
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Description | Activity | Replies | Groups | Updated |
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Hey Amber, that makes a lot of sense! And this effort by Insect Detect is amazing, thanks for sharing! |
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AI for Conservation, Autonomous Camera Traps for Insects | 3 months 3 weeks ago | |
One of our goals with explorer.land is to bridge satellite data and on-the-ground perspectives — helping teams combine field updates,... |
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AI for Conservation, Geospatial, Open Source Solutions, Sensors | 4 months ago | |
Hi, just wanted to let whoever is interested that v.1.3 of DeepFaune is out! Deepfaune is a software that runs on any standard... |
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Camera Traps, AI for Conservation, Open Source Solutions | 4 months ago | |
New stable release : v1.5.1We are pleased to announce the latest release with several important enhancement, fixes and documentation improvements to ensure compatibility with the... |
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Acoustics, AI for Conservation, Open Source Solutions, Software Development | 4 months ago | |
Hi all, I'm Vainqueur BULAMBO. I'm looking for a fully funded PhD opportunity in ecological data science or conservation... |
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Acoustics, AI for Conservation, Autonomous Camera Traps for Insects | 4 months 1 week ago | |
A nice work from @dmorris! See his LK post. "Lots of information in the conservation literature is represented in maps (e.g., the... |
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AI for Conservation, Geospatial | 4 months 1 week ago | |
Hi all, I'm the founder of a company in Texas that provides thermal drone surveying for private game ranches. Right now, we're doing everything completely manually in terms of... |
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AI for Conservation | 4 months 2 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 | 4 months 3 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 | 4 months 3 weeks ago | |
Yep see you on friday |
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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 | 4 months 3 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 | 4 months 3 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 | 4 months 3 weeks ago |