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
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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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Interesting thought piece from Mark Minevitch (AI for Good) et al. on the promise of AI and other ICT innovation to deliver on climate challenges, existing ICT sector emissions - and the three types of carbon lock-in...
8 August 2022
Press Release for International Tiger Day – July 29th, 2022: For the first time ever, wild tigers and their prey have been detected by AI-powered, cryptic cameras that transmit the images to the cell phones and...
5 August 2022
Article
A gentle introduction to the exciting field of embedded machine learning.
5 August 2022
Article
Ceres Tag sends just in time alerts and GPS location to have the power to track and trace.
22 July 2022
The Earth Species Project (ESP) is a nonprofit organization dedicated to decoding animal communication and translating non-human language.
15 July 2022
This WhaleSeeker article discusses how reliable distribution data depends on accurate labelling from survey images, and how AI can improve this process.
13 July 2022
The Pl@ntNet team is looking for a data scientist with strong skills in python and pytorch development. Pl@ntNet is a citizen observatory of plant biodiversity & research platform at the crossroads of data science,...
7 July 2022
7 July 2022
Rainforest Connection has multiple engineering positions that will suppor their work developing acoustic monitoring devices.
16 June 2022
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73 Products
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Description | Activity | Replies | Groups | Updated |
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@gracieermi & I are happy to announce the latest update to the Conservation Tech Directory, bringing our total resources in the... |
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Acoustics, AI for Conservation, Animal Movement, Camera Traps, Community Base, Data management and processing tools, Drones, eDNA & Genomics, Geospatial, Software Development | 2 years 10 months ago | |
Thank you so much Netty, I really enjoyed it.Good luck to you all with your work.Keep well! |
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AI for Conservation, East Africa Community | 2 years 11 months ago | |
Thank you @carlybatist , @Freaklabs and @MK . The inputs are very useful and I am progressing on my project based on that. Appreciate a lot. |
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Acoustics, AI for Conservation | 2 years 11 months ago | |
Some folks doing work in this space - Wildlife Drones, Conservation Drones, UAV Wild, AfricanDrones, Oceans Unmanned, Geonadir. |
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Drones, AI for Conservation, Citizen Science, eDNA & Genomics, Emerging Tech | 2 years 11 months ago | |
Dear Community,Together with Hackster.io, Seeed Studio is very happy to jointly organize “IoT Into the Wild Contest for Sustainable Plant... |
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AI for Conservation, Connectivity, Emerging Tech, Open Source Solutions, Sensors | 2 years 11 months ago | |
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 ... |
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AI for Conservation | 3 years 5 months ago | |
Hi everyone! We are spreading the word about a free, open-source tool called Zamba that automatically detects and... |
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AI for Conservation | 3 years 6 months ago | |
Hi Wildlabbers, This week's Tech Tutor Jamie MacAulay is talking about how to use and analyze large acoustic data using... |
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Acoustics, AI for Conservation, Marine Conservation | 3 years 7 months ago | |
Hi Wildlabbers, We're getting ready for tomorrow's episode with Tech Tutor Lily Xu, who'll talk to us about how machine... |
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AI for Conservation, Protected Area Management Tools, Wildlife Crime | 3 years 8 months ago | |
Looks good, but what is the added value compared to other examples as Obsidentify and Plantnet? |
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AI for Conservation | 3 years 8 months ago | |
https://www.dryad.netJob description"Dryad is an environmental IoT startup based in Berlin-Brandenburg. Our mission is to develop a large-... |
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AI for Conservation | 3 years 8 months ago | |
Deep Learning Engineer at Pachama - https://jobs.lever.co/pachama/81716dd9-8019-4916-add2-fcfaae426331 Embedded Software Engineer... |
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AI for Conservation | 3 years 9 months ago |
Seafood fund seeks ideas for innovation projects up to £250k
11 February 2020 12:00am
WILDLABS Virtual Meetup Recording: Acoustic Monitoring

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

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

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