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.
- @Palinda
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Corporate Responsibility Specialist & Sustainability/ Climate Change Professional Helping Conservation, Restoration, Community Livelihood Development ESG strategy and Sustainable Development.
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Universidade Federal do Rio Grande do Norte (UFRN)
I'm a Biologist and currently a master's student. My research focuses on understanding how birds respond to a restoration experiment in a Seasonally Dry Tropical Forest exclusive to Brazil through bioacoustics.
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- @APooran
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- @kristian.cuervo
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Applied Mathematics student in Denmark, interested in applications of mathematics to ecology and nature conservation. Currently interested in developing sensors for perimeter detection in wildlife conservations in Africa.
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- @MorganeLabadie
- | She/Her
I'm an ecology researcher with extensive experience of fieldwork and project management in international contexts. I specialise in wildlife, zoonotic diseases, data collection and analysis using mainly non-invasive techniques (acoustic, camera traps, etc.) and invasive techniques
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- @Jen_NZ
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- @cappel
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Wildlife Science PhD candidate working on computer vision with camera traps and bioacoustics
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- @valengsb
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GIS specialist for Audubon Americas | Biologist with an emphasis on Conservation and Sustainable Development | Innovative approaches in the study and monitoring of biodiversity for possible, biodiverse, and just futures.
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Ecologist at Noe NGO, Project manager in restauration, rewilding, and citizen sciences program for grassland ecosystems and wild pollinators

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- @capreolus
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Capreolus e.U.
wildlife biologist with capreolus.at





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- @JakobWiren
- | He,him
Swedish soon-to-be graduate engineer in AI/ML and robotics. Writing my master thesis in using decision trees for anti-poaching in Limpopo, South Africa. Am passionate about conservation, AI and travelling. Help me find a way to help you!
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- @fshort
- | He / Him
Boston University PhD Candidate, Biological Anthropology. Engaging in passive acoustic monitoring (PAM) of Bornean orangutans (Pongo pygmaeus wurmbii), Bornean white-bearded gibbons (Hylobates albibarbis), and red leaf monkeys (Presbytis rubicunda)
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Are you a data scientist interested in developing AI to help wildlife conservation?
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Key Conservation is seeking an experienced Software Developer to join our team.
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Arribada is looking for a proactive Senior Firmware & Systems Engineer to join Arribada's experienced and passionate team of field conservationists and engineers. You will write and develop firmware and advise on...
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The Department of Wildlife, Fish, and Environmental Studies (WFE), SLU, Umeå, is looking for a postdoc with strong interests in wildlife conservation technology.
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Careers
Seeking a highly motivated person with an excellent academic record, a good understanding of artificial intelligence and computer vision/deep learning, and an interest in contributing to cutting-edge AI research on kākā...
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A PhD opportunity for anyone interested in coastal drone surveys, seaweeds, climate change and the chance to do a whole bunch of different computer modelling including AI-driven species distribution modelling to assess...
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SPARROW: Solar-Powered Acoustics and Remote Recording Observation Watch
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Comments on Reynolds, S.A et all (2024) 'The potential for AI to revolutionize conservation: a horizon scan'. A very interesting read, perhaps more for the discussion on negative effects of AI and consequences for the...
18 December 2024
The Department of Wildlife, Fish, and Environmental Studies (WFE), SLU, Umeå, is looking for a postdoc with strong interests in wildlife conservation technology. She/he will work within Big Picture, a European project...
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Fully funded 2 year position within a Biodiversa+ funded project
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Description | Activity | Replies | Groups | Updated |
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@bluevalhalla thanks for sharing the awesome video, sounds like a great project! |
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AI for Conservation | 1 year ago | |
Hi everyone, I am conducting a research project as part of my MSc in Environment and Development at the London School of Economics. I... |
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Acoustics, AI for Conservation, Autonomous Camera Traps for Insects, Ethics of Conservation Tech | 1 year ago | |
@cmwainaina please take a look |
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Animal Movement, AI for Conservation, Camera Traps, Connectivity, Data management and processing tools, East Africa Community, Emerging Tech, Ethics of Conservation Tech, Human-Wildlife Coexistence, Marine Conservation, Protected Area Management Tools, Geospatial, Sensors, Software Development | 1 year ago | |
Glad to announce that a new tutorial is available on Firetail: |
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AI for Conservation, Animal Movement | 1 year 1 month ago | |
The use of synthetic training data such as interpolated sequence values is common, but fraught with the issue of your synthetic signal generating features that are not true to... |
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Data management and processing tools, AI for Conservation | 1 year 1 month ago | |
In that case, you might want to keep an eye on the project from @Lars_Holst_Hansen |
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Camera Traps, AI for Conservation, Conservation Tech Training and Education, Early Career, Human-Wildlife Coexistence, Protected Area Management Tools | 1 year 2 months ago | |
No worries! I'll be trying the other one to see how it works. Thank you for your help! |
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AI for Conservation | 1 year 2 months ago | |
Fantastic!! |
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Acoustics, AI for Conservation, Animal Movement, Build Your Own Data Logger Community, Community Base, Early Career, Ethics of Conservation Tech, Marine Conservation, Open Source Solutions | 1 year 2 months ago | |
Hi everyone! I’m sending some information for a paid user study about Explainable AI and bird identification that may be of interest:Our... |
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AI for Conservation, Citizen Science | 1 year 2 months ago | |
This is so cool! I am 1000% going to see if they want to come talk about it at Variety Hou! |
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AI for Conservation, Citizen Science | 1 year 3 months ago | |
Hi Sol,If the maximum depth is 30m, it would be worth experimenting with HydroMoth in this application especially if the deployment time is short. As Matt says, the air-filed case... |
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Acoustics, AI for Conservation, Data management and processing tools, Emerging Tech, Sustainable Fishing Challenges | 1 year 3 months ago | |
Online citizen science platforms like iNaturalist and Macaulay Library contain a wealth of images but are hard to search using text. We are... |
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AI for Conservation, Citizen Science | 1 year 3 months ago |
Enter the Zooniverse: Try Citizen Science for Yourself!
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Hawai'i Conservation Conference

28 February 2020 12:00am
Competition: The Artisanal Mining Grand Challenge
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Team for Building of ML app for horse identification and conservation
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ICEI2020: 11th International Conference on Ecological Informatics

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WILDLABS Virtual Meetup Recording: Acoustic Monitoring

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AI for camera trap public data
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A New Cloud Platform Unveils the Most Diverse Camera Trap Database in the World
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[ARCHIVED] Workshop on Deep Learning Methods and Appliocations for Animal Re-Identification
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WACV2020 AI for Animal Re-ID: Deep Learning Methods and Applications for Animal Re-Identification
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WILDLABS Virtual Meetup Recording: Drones

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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
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Using Artificial Intelligence to Track Birds’ Dark-of-Night Migrations
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Camera Trap Technology Symposium (Recordings): Bringing Developers and Users Together
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ICCB 2019: 5 Key Discussions about the Future of Conservation Tech
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Conservation biologists find new applications for AI tools
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Automated Identification of Indonesian Rhinos
27 July 2019 12:00am
[ARCHIVED] Position: UI/UX Machine Learning Engineer
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[ARCHIVED] Position: Senior Computer Vision Research Engineer
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Hello buzzing World!
7 July 2019 6:55pm
ML at the Edge
28 June 2019 8:16am
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