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!
- @ryanhuang
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Conservation scientist based in Pretoria, South Africa
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- @jsstamn
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PhD student at the University of Mississippi; research interests include predator/prey dynamics, particularly the landscape of fear in relation to species conservation. Rookie at using arduino
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Neuroscientist & engineer looking for a data/R&D role in conservation.
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I am a research scientist from the AI for Good Lab at Microsoft, working on AI applications in environmental science and ecology, including camera traps, bioacoustics, and overhead imagery.


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An Environmental sciences and Management graduate from SUA, passionate and eager to drive change to the Environment, making World a better place for present and future generations.





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- @hyodopenguin
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I am currently a rising junior at UC Berkeley studying data science. I hope to apply data with biodiversity, especially by utilizing camera traps for species classification. People in conservation tech are truly living my dream careers, and I can't wait to get even more inspired!

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- @AngelikaNocon
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I am a Nonprofit Relations Manager at Tech To The Rescue - a global platform connecting nonprofit organizations with tech companies.
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- @Slater
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I am the Conservation Science Director at HawkWatch International, where I've worked since 2006. My work focuses mainly on conservation and research of Golden Eagles, including nesting, tracking, and winter ecology.

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Mobile developer w/ a passion for nature and conservation

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I'm a researcher in aquatic sciences, studying connections between fish biology and endocrine systems that govern growth and reproduction, contributing to fisheries management, conservation efforts and aquaculture innovations.
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- @christinebarry
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Are you excited by the potential for new technologies to help monitor the natural world? Do you enjoy communicating your passion for technology and nature with diverse audiences? We are seeking an enthusiastic...
2 February 2023
Consultancy opportunity at ZSL for an experienced monitoring specialist to support species monitoring in rewilding landscapes across Europe
31 January 2023
The Department of Environmental Science, Policy, and Management (ESPM) at the University of California, Berkeley (UCB)
25 January 2023
Are you stuck on an AI or ML challenge in your conservation work? Apply now for the chance to receive tailored expert advice from data scientists! Applications due 27th January 2023
18 January 2023
Link
We review key characteristics of four AI platforms—Conservation AI, MegaDetector, MLWIC2: Machine Learning for Wildlife Image Classification and Wildlife Insights—and two auxiliary platforms—Camelot and Timelapse—that...
13 January 2023
WILDLABS and Fauna & Flora International are seeking an early career Vietnamese conservationist for 12-month paid internship position to grow and support the Southeast Asia regional community in our global...
11 January 2023
This position focuses on the ecology aspect of the project, while a second PhD in Ilmenau will be dealing with programming/AI development. Because of the high temporal resolution of our data, we can investigate how land...
9 January 2023
Careers
We are looking for someone who enjoys the craft of making to come and help run our London based lab.
5 January 2023
Seeking Software Engineer for Marine Science Lab a UC Santa Barbara
19 December 2022
Using satellite imagery to detect and classify the severity of cyanobacteria blooms in small, inland water bodies.
15 December 2022
a technology-led solution to understanding the honeybees of the wasp world
8 December 2022
The University of Alaska Fairbanks is seeking a research Post Doctoral Fellow to work in collaboration with the Arctic National Wildlife Refuge, U.S. Fish and Wildlife Service. The position will focus on using Machine...
7 December 2022
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Description | Activity | Replies | Groups | Updated |
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Gotcha, well I look forward to seeing future iterations and following along with your progress!! |
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Autonomous Camera Traps for Insects, AI for Conservation, Emerging Tech, Open Source Solutions, Latin America Community | 1 year 1 month ago | |
Hi everyone!@LashaO and @holmbergius from the Wild Me team at ConservationX Labs gave a superb talk at last month's Variety Hour,... |
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AI for Conservation, Camera Traps | 1 year 1 month ago | |
We could always use more contributors in open source projects. In most open source companies Red Hat, Anaconda, Red Hat and Mozilla, people often ended up getting hired largely... |
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Acoustics, AI for Conservation, Conservation Tech Training and Education, Early Career, Marine Conservation | 1 year 2 months ago | |
Hi @timbirdweather I've now got them up and running and winding how I can provide feedback on species ID to improve the accuracy over time. It would be really powerful to have a... |
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Acoustics, AI for Conservation, Citizen Science, Emerging Tech | 1 year 2 months ago | |
Really interesting project. Interesting chip set you found. With up to around 2mb sram that’s quite a high memory for a ultra low power soc I think.It might also be... |
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Acoustics, AI for Conservation | 1 year 2 months ago | |
Thank you so much for your encouraging words! I'm thrilled to hear that you enjoyed our conversation, and I truly appreciate your support in spreading the word about my survey... |
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Acoustics, AI for Conservation | 1 year 2 months ago | |
Perfect thanks! I am still a novice using Python but my wife can help me! |
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AI for Conservation, Camera Traps, Human-Wildlife Conflict | 1 year 3 months ago | |
Hi everyone! My name is Leah Govia and I am a PhD candidate at the University of Guelph, Canada. My research explores what people... |
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Ethics of Conservation Tech, Conservation Tech Training and Education, AI for Conservation | 1 year 3 months ago | |
Hi Danilo. you seem very passionate about this initiative which is a good start.It is an interesting coincidence that I am starting another project for the coral reefs in the... |
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Acoustics, AI for Conservation, Animal Movement, Camera Traps, Citizen Science, Climate Change, Community Base, Connectivity, Drones, Emerging Tech, Human-Wildlife Conflict, Open Source Solutions, Sensors, Software Development, Wildlife Crime, Funding and Finance | 1 year 3 months ago | |
Am working on similar AI challenge at the moment. Hoping to translate my workflow to wolves in future if needed. We all are little overstretched but it there is no pressing... |
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Camera Traps, AI for Conservation, Build Your Own Data Logger Community, Data management and processing tools, Marine Conservation, Protected Area Management Tools, Geospatial | 1 year 3 months ago | |
I would recommend going with Ubiquity 2.4Ghz devices which have performed relatively well in dense foliage of the California Redwood forests. It took a lot of tweaking to... |
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Acoustics, AI for Conservation, Connectivity, Open Source Solutions | 1 year 4 months ago | |
Very nice video in the link you posted btw:Here is another less artistic one: |
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Camera Traps, AI for Conservation | 1 year 4 months ago |