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!
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Hello, I am a PhD student studying birds and box turtles!
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I am a conservation technology advisor with New Zealand's Department of Conservation. I have experience in developing remote monitoring tech, sensors, remote comms and data management.
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PhD student at Stanford University studying marine migratory species and human-wildlife interactions through biologging, remote sensing, and participatory science.
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Passionate wildlife researcher dedicated to uncovering the secrets of the natural world via the lens of camera traps. With a sharp eye for detail and a strong commitment to wildlife conservation.
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Experienced Biologist with a Master of Science degree and 15 years of international experience in the fields of nature resource management, ecological restoration, and human rights in agriculture, forestry, and cattle ranching for sustainable production and sourcing
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Deepak is an experienced professional who has served in multiple leadership roles in technology, science, product development, and engineering programs. He has proven expertise in shaping and executing technology strategies across defense, space, health, and environment sectors.


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DrivenData
Lead Data Scientist and developer of zamba, a tool for automatic species classification from camera traps


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Technical Specialist at FFI: loves data management, maps, remote sensing & GIS for conservation



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University College London (UCL)
PhD Student at UCL's People and Nature Lab. Studying human-livestock-wildlife coexistence in the Greater Maasai Mara Ecosystem, Kenya.
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Gabriela A. Valencia-Macias, B.Sc. (Universidad Veracruzana), is achieving a master's degree in science at the Ecology Institute (INECOL A.C). She is Colombian-Mexican and has focused her studies on the conservation and biodiversity of amphibians.
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This exciting news article about The Global Wetland Project's FishID platform discusses the latest improvements and developments in using deep learning to identify individual fish species underwater. In addition to...
28 July 2020
Article
In this article from BearID Project, Director and Software Developer Ed Miller walks us through using their application to identify individual bears from photographs. Ed shows us how to easily use BearID remotely in the...
21 July 2020
Put your acoustic monitoring skills to the test in The Cornell Lab of Ornithology's Birdsong Identification Kaggle Competition. Participants will compete to identify as many bird vocalizations as possible in in...
8 July 2020
Conservation technology largely consists of two categories: tools to monitor and study wildlife and their habitats, and solutions to mitigate or prevent negative human impacts. The fight against poaching in particular...
4 June 2020
A couple months ago, we introduced you to the Footprint Identification Technique (FIT), a non-invasive way to build an identification algorithm from both wild and captive animals by photographing footprints. Today, we'...
3 June 2020
Funding
The 2020 Hackaday Prize competition has begun! This year, Conservation X Labs has partnered with the Hackaday Prizes as one of four nonprofits seeking tech-based solutions to urgent challenges. Conservation X Labs'...
26 May 2020
Article
We're excited to welcome the WildTrack FIT group to our community! Today, we'd like to introduce you to the Footprint Identification Technique (FIT) and share how you can incorporate this tracking method into your field...
6 May 2020
Funding
Want to compete in the iWildCam 2020 competition identifying species in camera trap images to support biodiversity monitoring efforts and automatic species classification model improvements? Because the Workshop on Fine...
4 May 2020
The 2020 Arm Research Summit is accepting submissions from all research disciplines focusing on the role of technology in solving global challenges. Submissions should reflect the potential of sustainable, secure, and...
24 April 2020
Article
At the 2018 London Illegal Wildlife Trade Conference, we announced the WILDLABS Tech Hub, an accelerator programme created to support the development and scaling of groundbreaking technological solutions addressing the ...
13 April 2020
Community Announcement
Our second WILDLABS Community Call took place on April 1st to continue the discussion started by Ben Tregenna in our Data Science group, in which he suggested the idea of submitting a collaborative entry to the X-Prize...
30 March 2020
Article
At the 2018 London Illegal Wildlife Trade Conference, we announced the WILDLABS Tech Hub, an accelerator program created to support the development and scaling of groundbreaking technological solutions addressing the ...
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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 11 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 11 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 11 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 11 months ago | |
Hi everyone, We're excited to welcome Nicole Flores to Tech Tutors to walk us through getting started with Wildlife Insights! ... |
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AI for Conservation, Camera Traps, Data management and processing tools | 4 years ago | |
Hi all, We're excited to welcome Siyu Yang to Tech Tutors to chat about getting started with Megadetector! For all you AI... |
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AI for Conservation, Camera Traps, Data management and processing tools | 4 years ago | |
You should join the Key Conservation app, which connects people and NGO's for specific needs, whether funding, time, or skills (programming included). Organizations can list... |
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AI for Conservation | 4 years 2 months ago | |
Thank you VERY much for that, Carly. I really appreciate it. I have only heard of the bear research project and was not aware of the others. This is very helpful. FYI: Most... |
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AI for Conservation | 4 years 4 months ago | |
The Atlas Coral Atlas combines high-resolution, seamless satellite imagery mosiacs, image processing techniques, machine learning, and... |
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AI for Conservation | 4 years 5 months ago | |
Sure thing, I'll email you directly. |
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AI for Conservation | 4 years 5 months ago | |
Hi Wildlabbers, This week is the last episode of Tech Tutors Season 2! Elizabeth Bondi tackled the question "How do I... |
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AI for Conservation, Drones | 4 years 6 months ago | |
Thanks Carly, These are great ideas. The movebank recommendation reminds me of some work from Save the Elephants that used its transparency to exonerate an elephant that had... |
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AI for Conservation | 4 years 6 months ago |
Innovation wanted: Technology Testing to Mitigate Human-Elephant Conflict in West Bengal
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ISO Speakers for Emerging Technologies class.
31 May 2023 4:29pm
2 June 2023 2:08pm
Carly, that would be great! Thanks! I work with soundscapes and love the work of Rainforest Connection! I'll send you an email (@CUNY) to coordinate!
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Looking for AI volunteer positions
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Hi Donya! You might check out the Conservation Tech Directory to see what projects/organizations/tools best align with your interests and skills.
Director of Research
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Happywhale: AI-Powered Whale Identification
16 May 2023 10:00am
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Photo Quadrats, AI, and MERMAID: A Case Study from Mozambique
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AI for Conservation Office Hours: 2023 Review

11 May 2023 10:00am
Crowdsourcing individual ID for pop dyn?
1 May 2023 5:36pm
5 May 2023 6:15pm
That sounds like a really neat project! Do fish get re-caught often enough that individual ID is useful? Is sample bias (more data from popular spots) an issue?
GRO is the story of what on Earth is going on
5 May 2023 1:50pm
Using computer vision to understand bee vision
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27 April 2023 5:52am
Looking to contribute
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26 April 2023 8:41pm
Feathered forecast: Tech tools comb weather data for bird migrations
26 April 2023 2:50pm
31 May 2023 10:21pm
Definitely interested! I'm in the ecoacoustics/acoustic monitoring space, working at Rainforest Connection and Arbimon.