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.
- @Nix
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Hello! I'm Amélie, founder of Nix Air Solutions, a company offering wildlife monitoring solutions including biologging IoT trackers and software tools for real time tracking, data cleaning and processing through AI.
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Movement Ecologist studying the where, why, and how animals move throughout our world. Current work is investigating the movement and energetics of large neotropical bats in a changing environment with ephemeral resources.
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- @matt_hron
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Wildlife Protection Solutions (WPS)
Product Manager at Wildlife Protection Solutions
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- @maddy
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Iam a Doctorate in molecular bology by profession & associated with a tech startup, focued on IoT/sensor based automation solutions. But I spend half of my time to document and conserve local & wildlife arond us and trying to explore our technology in conservation.Love to join
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- @tomwhite101
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Agroecology Geek
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- @benitezl
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World Wide Fund for Nature/ World Wildlife Fund (WWF)
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- @heiabb02
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Early Career Wild Felid conservationist with BS in Biology & Zoology
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- @Kathinja
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A Geography Graduate with a keen interest in Geographic Information systems(GIS), a climate enthusiast, sustainable development, conservation effort and green technologies
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Asst. Prof @ MIT with research at the intersection of computer vision, biodiversity monitoring, conservation, and sustainability.
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Cornell University
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Article
This study breaks ground in outlining a methodology for a system of low-cost, long-term camera traps (Dispersed Environment Acquatic Cameras) that can be deployed over large spatial scales in remote marine environments...
30 November 2021
Article
In pursuit of saving the Monarch butterflies, Carlo Mondavi- pioneer of the Monarch challenge- was inspired to develop the world's first fully electric smart tractor tractor with co-founder and Chief Executive, Praveen...
29 November 2021
Article
Environmental Data Justice
Joycelyn_Longdon
This research article explores the challenges of achieving environmental data justice, with the continued advancement in technology and growth in available data. The author emphasises the necessity to prioritise ...
26 November 2021
Article
Technical Difficulties: The Promise and Pitfalls of Machine Learning for Conservation
Sara Beery and 1 more
In Ellie Warren's interview with Sara Beery as part of the Technical Difficulties Editorial Series, they discussed how the hype surrounding machine learning impacts our perceptions of failure, and how conservationists...
23 November 2021
Article
Caiman: Images as Sources of Intelligence
Sensing Clues Foundation
CAIMAN is a product from the Sensing Clues Foundation that automatically classifies animals on images from camera traps. It aims to be available by the end of 2021, contact the Sensing Clues team for more details. This...
18 November 2021
Funding
Opportunity: GEO-Microsoft Planetary Computer Programme
Group on Earth Observations (GEO)
The GEO-Microsoft Planetary Computer Programme invites the GEO community to be among the early adopters of Microsoft's Planetary Computer. The Programme will support a number of 12-month projects that use The Planetary...
4 November 2021
Article
EarthRanger Announces Inaugural Conservation Tech Award Recipients
Allen Institute for AI
On 3rd November 2021, Earthranger Announced Giraffe Conservation Foundation and Lion Guardians as the inaugral Conservation Tech Award Recipients. The two organizations are Harnessing the Power of Technology to Protect...
3 November 2021
Funding
The Centre for Statistics in Ecology, Environment and Conservation, a research group within the Department of Statistical Sciences at the University of Cape Town, is now hiring for a funded postdoc or PhD postion with...
1 November 2021
Article
This article explores the use of IoT and Machine Learning Technologies in Ewaso Nyiro River, Kenya - which serves several communities as well as wildlife in Olpejeta Conservancy and Lewa Conservancy, among others. Data...
21 October 2021
Article
The International Journal of Computer Vision is calling for papers on Computer Vision Approach for Animal Tracking and Modeling. Visit the Springer website for further details and submission guidelines.
20 September 2021
Article
In this thought piece from Whale Seeker, Malcolm Kennedy considers the strengths of weaknesses of citizen science and AI, both used to analyze large amounts of conservation data, and discusses the importance of data...
19 August 2021
Article
Building Sustainable Support with Edge Impulse
Ellie Warren
Today, we're chatting with our WILDLABS Fellowship: On the Edge partners at Edge Impulse about how conservation tech funding and support can be more sustainable, and why reimagining how fellowships make an impact is so...
13 August 2021
August 2025
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October 2025
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Recently updated products
| Description | Activity | Replies | Groups | Updated |
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| Chuck's Python for Everyone course is available these days at www.py4e.com, and he's also created a course called Web Apps for Everyone www.wa4e.com. Both... |
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AI for Conservation | 5 years 9 months ago | |
| Hi all! This is a great article summarizing new applications for AI for conservation, and highlights @vsahai 's work with... |
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AI for Conservation | 6 years ago | |
| Wild Me (wildme.org) is looking to retain a UI/UX Machine Learning Engineer to help translate advanced ML into beautiful interfaces... |
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AI for Conservation | 6 years 1 month ago | |
| Wild Me (wildme.org) is looking to hire a second, Masters or PhD-level Senior Computer Vision Engineer to focus on individual ID of... |
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AI for Conservation | 6 years 1 month ago | |
| Hi, I would just like to introduce our Project BEESWAX7 and announce that today we acheived two milestones for success; we recorded bee... |
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AI for Conservation | 6 years 1 month ago | |
| There's a discussion over in camera traps about the design of a device to run autonomously (in an inaccessible location) with reliable... |
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AI for Conservation | 6 years 1 month ago | |
| I got to help TNC launch fishnet.ai over the weekend, a home for training data for fisheries monitoring & computer vision AI. We have a... |
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AI for Conservation | 6 years 2 months ago | |
| Please consider submitting to this workshop and/or challenge which may be relevant to your work: Call for Papers and Call... |
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AI for Conservation | 6 years 2 months ago | |
| yep! Drop me an email at stephanie.odonnell@wildlabs.net and I'll get you a link. Steph |
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AI for Conservation | 6 years 2 months ago | |
| Artificial intelligence & Machine Learning Algorithms are transforming data analysis, but little is known about how they... |
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AI for Conservation | 6 years 4 months ago | |
| Hi Colin, At the BearID Project, we are working on a similar problem for brown bears. We are currently using machine learning methods developed for human facial recognition (... |
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AI for Conservation | 6 years 5 months ago | |
| 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 |
