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!
- @ColleenEarthScape
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- @Alawa
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Passionate wildlife and biodiversity conservationist
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- @CourtneyShuert
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I am a behavioural ecologist and eco-physiologist interested in individual differences in marine mammals and other predators
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- @mattaudette
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Software Tester and Test Automator at Wildlife Protection Solutions
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- @Rutwik
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- @williams
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I am a conservationist specializing in endangered species, particularly vultures. As the Endangered Species Conservation Coordinator/Co-Founder at Biota Conservation Hub Foundation (BiotaCHF), I have conducted extensive research/conservation of vultures and other water birds.
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- @ARobillard
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A conservation data scientist and field ecologist with broad interest in the application of machine learning and population genetics to the conservation of threatened species. Alex has conducted field studies throughout central and south America, the Caribbean, and North America.
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- @Joynyamshangi
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MSc in AI for Sustainable Development at UCL
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- @aniyaz533
- | Niyaz
A keen willdlife biologist looking forward to work on Otters ecology in Himalayan landscape
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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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Article
Plant-Powered Camera Trap Breakthrough
Alasdair Davies
Microbial fuel cells, developed by Plant-powered Camera Trap Challenge winners Plant-E, have been used successfully with Xnor.ai's energy harvesting camera technology to capture what are thought to be the world's first...
15 October 2019
Article
In a first, UMass Amherst, Cornell use AI to mine big migration data on massive scale
9 October 2019
Article
Rutgers University, Microsoft AI for Earth, Google Earth Outreach and San Diego Zoo Global are proud to announce the world’s first camera trap technology symposium, to take place November 7th and 8th at Google...
2 September 2019
Article
ICCB 2019: 5 Key Discussions about the Future of Conservation Tech
Stephanie O'Donnell
Sharing failure, tech support for conservation, roaming mentors, conservation tech hype cycles and developing new road maps - participants in our tech workshops at ICCB 2019 shared an abundance of ideas for how to shape...
21 August 2019
Article
Automated Identification of Indonesian Rhinos
Cooper Oelrichs
In this case study, Cooper Oelrichs of Save Indonesian Endangered Species Fund (SIES) breaks down his proposal for the development and training of an automated rhino identification system from limited camera trap data.
27 July 2019
Article
The WILDLABS TECH HUB is supporting technology solutions tackling the illegal wildlife trade, in collaboration with the Foreign & Commonwealth Office, Digital Catapult, Satellite Applications Catapult, Amazon Web...
4 June 2019
Funding
AI for Earth Innovation Grant (extended)
Microsoft
To further their missions, LDF and Microsoft are collaborating on the AI for Earth innovation grant to support applicants in creating and deploying open source machine learning models, algorithms, and data sets that...
4 June 2019
Article
Traditionally, illegal wildlife trade thrived in physical markets. But today it has also moved online. In China, more than half of the trade in elephant ivory items happens on e-commerce platforms. Enrico Di Minin and...
31 May 2019
This webinar recording will provide a brief overview of current SMART functionality, highlight case studies of large scale and innovative SMART deployments, and detail how SMART is embracing and leveraging new...
21 May 2019
Article
Meet the WILDLABS TECH HUB Winners
WILDLABS Team
In February, we released an open call for the WILDLABS TECH HUB, offering 3 months of support for solutions using technolgy to tackle the illegal wildlife trade. We were overwhelmed by an incredible 37 submissions,...
13 May 2019
Article
Huge appetite for data trusts, according to new ODI research
Open Data Institute (ODI)
To realise the potential benefits of data for our societies and economies we need trustworthy data stewardship. We need to establish different approaches to deciding who should have access to data, for what purposes and...
15 April 2019
Article
#Tech4Wildlife Photo Challenge: Our Favourites from 2019
WILDLABS Team
Happy World Wildlife Day! To celebrate, this week we've asked our community to share photos showing how they are using tech in the field or the lab, using the #Tech4Wildlife hashtag.
3 March 2019
June 2025
event
Nalini
July 2025
October 2025
event
Lacey Hughey and 3 more
November 2023
event
Stephanie O'Donnell
73 Products
Recently updated products
16 Products
Recently updated products
| Description | Activity | Replies | Groups | Updated |
|---|---|---|---|---|
| Wildlife Insights launched their online platform hosting over 4 million camera trap images. They use AI to automatically classify the... |
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AI for Conservation | 5 years 5 months ago | |
| Hey everyone! My colleagues and I are hosting a workshop on Animal Re-ID, and the submission deadline is a little less than a month... |
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AI for Conservation | 5 years 5 months ago | |
| 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 6 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 | 5 years 9 months 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 | 5 years 10 months 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 | 5 years 10 months 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 | 5 years 10 months 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 | 5 years 10 months 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 | 5 years 11 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 | 5 years 11 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 | 5 years 11 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 1 month ago |
Seafood fund seeks ideas for innovation projects up to £250k
11 February 2020 12:00am
WILDLABS Virtual Meetup Recording: Acoustic Monitoring
WILDLABS Team
5 February 2020 12:00am
AI for camera trap public data
17 December 2019 9:20pm
A New Cloud Platform Unveils the Most Diverse Camera Trap Database in the World
17 December 2019 12:00am
[ARCHIVED] Workshop on Deep Learning Methods and Appliocations for Animal Re-Identification
25 November 2019 6:24pm
WACV2020 AI for Animal Re-ID: Deep Learning Methods and Applications for Animal Re-Identification
25 November 2019 12:00am
WILDLABS Virtual Meetup Recording: Drones
WILDLABS Team
9 November 2019 12:00am
Camera Trapping: Incredibly Useful Resources List
5 November 2019 12:00am
Who wants to learn Python? Courses to get you started coding
2 May 2016 3:13pm
1 March 2019 9:20am
Hello everyone what are you wating for..
All US, UK, India users can enroll courses from Intellipaat (the largest IT trainng company)
check some of thier superb training list:
29 October 2019 4:52pm
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 excellent resources, and he's a strong proponent for (and creator of) open source educational tools in general.
Lucy
Plant-Powered Camera Trap Breakthrough
15 October 2019 12:00am
Using Artificial Intelligence to Track Birds’ Dark-of-Night Migrations
9 October 2019 12:00am
Camera Trap Technology Symposium (Recordings): Bringing Developers and Users Together
2 September 2019 12:00am
ICCB 2019: 5 Key Discussions about the Future of Conservation Tech
21 August 2019 12:00am
Conservation biologists find new applications for AI tools
5 August 2019 2:57pm
Automated Identification of Indonesian Rhinos
27 July 2019 12:00am
[ARCHIVED] Position: UI/UX Machine Learning Engineer
8 July 2019 11:27pm
[ARCHIVED] Position: Senior Computer Vision Research Engineer
8 July 2019 10:42pm
Hello buzzing World!
7 July 2019 6:55pm
ML at the Edge
28 June 2019 8:16am
Meetup: Machine Learning/AI on Earth Observation Data (23 July, London)
21 June 2019 12:00am
New open data site for fisheries
10 June 2019 7:17pm
Workshop & Challenges on Computer Vision for Wildlife Conservation (CVWC) at ICCV 2019
5 June 2019 6:51am
Technology companies, FCO, and conservation NGOs come together to scale technology solutions to end wildlife crime
4 June 2019 12:00am
AI for Earth Innovation Grant (extended)
4 June 2019 12:00am
CogX Festival of AI and Emerging Technology - free tickets for WILDLABS members
16 May 2019 12:12pm
28 May 2019 12:02pm
UPDATE: We've had quite a few members emailing us for tickets, so I'm looking forward to meeting everyone in person! We've now been allocated some extra tickets, so if you are interested you're in luck, there is still a chance to come along.
3 June 2019 4:53pm
Are there any free tickets left for CogX?
I am on anthony.peake@agiledatum.com
3 June 2019 5:04pm
yep! Drop me an email at stephanie.odonnell@wildlabs.net and I'll get you a link.
Steph
How machine learning can help fight illegal wildlife trade on social media
31 May 2019 12:00am
GWP Webinar Recording: Using SMART at scale for effective wildlife protection
21 May 2019 12:00am
WILDLABS TECH HUB Showcase
WILDLABS Team
17 May 2019 12:00am
Meet the WILDLABS TECH HUB Winners
13 May 2019 12:00am
Huge appetite for data trusts, according to new ODI research
15 April 2019 12:00am
31 August 2017 9:06am
A couple of years ago I completed the Coursera course Programming for Everybody (Getting Started with Python) with Charles Severance. I found it really well paced and well taught. He's a very personable tutor, and has also written a free book Python for Everybody, available as a PDF.
I found the Coursera course on R Programming with Roger Peng to be more difficult to follow, but I'm not sure whether that was down to the teaching style or the language itself. For R, I'd definitely recommend the best place to get started is swirl - Learn R, in R!
Happy coding