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.
- @Thorondor
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AI engineering working on cutting edge AI research and product for detecting objects. Big wildlife and conservation enthusiast and amateur wildlife photographer.
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finding ecological solutions using sound and conservation tech
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Currently a data scientist in industry working on mechanistic models of risk, previously worked on modeling coral reefs. I am interested in the potential for emerging technologies and new ideas to help us solve environmental crises.
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Fauna & Flora
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- @OakAlice
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PhD researcher standardising machine learning approaches for behaviour classification in free-roaming wild animals.
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- @Kasi
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Game Rangers International
Kasi Amor Kalande is a young conservationist with experience in elephant movement research, GIS, and conservation technology.
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- @Manahil_ijaz
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I’m a nature enthusiast who loves exploring wildlife and ecosystems. Through my research in ecology, I channel this passion into protecting and preserving biodiversity.
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- @Doris0511
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Founder of Life on Purpose Detroit, we work with Detroit Youth to learn about technology and conservation.
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- @Phillip_Swart
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I'm a conservationist working in the Vulture conservation space in South Africa with a huge passion for technology.
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- @GrunCrow
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Computer Scientist
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- @Prabisha
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Dedicated research scientist with over 8 years of experience in cartography, spatial analysis, and statistical modeling to tackle environmental, public health, and socio-economic challenges. Passionate about leveraging geospatial technology to drive impactful solutions.
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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
Conservation partnership launches new award to advance biodiversity conservation from space
5 December 2022
Interested in a PhD exploring the potential of AI? Please consider applying to Realize Lab at the University of Michigan CSE.
23 November 2022
Article
This essay is the third in a series on the promise and challenges of using AI and machine learning to create a planetary environmental management system.
14 November 2022
We have a fully-funded PhD opening in the DARSA group. The project aims at developing novel algorithms and annotation tools for hierarchical classification, with profound and immediate applications to both agriculture...
8 November 2022
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Description | Activity | Replies | Groups | Updated |
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Hi Jason, Thanks for sharing this demo, it's interesting to see the fluke id process in action. Is this part of the flukebook project? How do you see the project... |
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AI for Conservation | 9 years 2 months ago | |
Hi folks! The team at Skytruth (responsible for Global Ocean Watch) are looking for a machine learning developer. It might be of... |
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AI for Conservation | 9 years 6 months ago | |
Hi, I am jason Holmberg from WildMe.org. I am one of the developers of Wildbook (wildbook.org), an open source data management platform for wildlife research. I'm... |
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AI for Conservation | 9 years 7 months ago | |
I'd like to suggest our open source package Wildbook (http://www.wildbook.org) as a base data management platfor for this. I agree with the above that there are a number of... |
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AI for Conservation | 9 years 7 months ago | |
Over the past year the open data GDELT Project (http://gdeltproject.org/), which monitors local news coverage worldwide in... |
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AI for Conservation | 9 years 7 months ago |