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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- @Nix
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Hello! I'm Amélie, founder of Nix Air Solutions, a company offering wildlife monitoring solutions including biologging IoT trackers and software tools for real time tracking, data cleaning and processing through AI.
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Movement Ecologist studying the where, why, and how animals move throughout our world. Current work is investigating the movement and energetics of large neotropical bats in a changing environment with ephemeral resources.
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- @matt_hron
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Wildlife Protection Solutions (WPS)
Product Manager at Wildlife Protection Solutions
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- @maddy
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Iam a Doctorate in molecular bology by profession & associated with a tech startup, focued on IoT/sensor based automation solutions. But I spend half of my time to document and conserve local & wildlife arond us and trying to explore our technology in conservation.Love to join
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Agroecology Geek
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World Wide Fund for Nature/ World Wildlife Fund (WWF)
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Early Career Wild Felid conservationist with BS in Biology & Zoology
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- @Kathinja
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A Geography Graduate with a keen interest in Geographic Information systems(GIS), a climate enthusiast, sustainable development, conservation effort and green technologies
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Asst. Prof @ MIT with research at the intersection of computer vision, biodiversity monitoring, conservation, and sustainability.
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Careers
Lead Data Engineer - Climate Solutions, Open Earth
Esther Githinji
Have you created a successful career in tech and are ready to do something good with your skills and experience? If yes, then join Open Earth's Earthshot mission to build open source digital systems and solutions to...
25 October 2023
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New paper in Nature Communications from Jörg Müller et al. using BAR-LT recorders and CNNs to track biodiversity recovery. Study shows that #soundscapes 🎙🎶 and deep learning are powerful tools for tracking biodiversity...
20 October 2023
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ZSL Research Fellow (x3 roles)
Zoological Society London (ZSL)
The Institute of Zoology (IoZ), the research division of the Zoological Society of London (ZSL), is seeking to fill three new permanent positions by recruiting outstanding early-career researchers as Research Fellows (...
20 October 2023
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To study song evolution in time and space, we will use individual acoustic monitoring (IAM) - a non-invasive method that allows the identification of individuals based solely on their vocalisations. In this project, we...
20 October 2023
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The Marie Skłodowska-Curie PhD Fellowship in Bioacoustic AI for wildlife protection. The PhD position advertised here will be based at the KU Leuven Electrical Engineering Department (ESAT), under the supervision of...
20 October 2023
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PhD Opportunity: 'FLOATERS' position at Bioacoustic AI Doctoral Network
Stephanie O'Donnell
FLOATERS: Using individually distinct vocalizations to estimate breeding and non-breeding population of a species. Apply for the fully funded PhD position now!
20 October 2023
The current method of tagging turtles for monitoring is intrusive, time-consuming, and expensive. Find out how automated recognition software using photo and video data can enhance monitoring efficiency and assist...
6 October 2023
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Check out how BirdCast's newest advances can provide detailed flight forecasts of millions of birds!
5 October 2023
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Mozilla Foundation, funding for nature conservation
Frank van der Most
Many people know of the Mozilla Foundation because of the FireFox browser and other open source software they produce together with countless volunteers. Perhaps less well known, the Mozilla Foundation also runs a...
4 October 2023
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We're delighted to announce that Connected Conservation Foundation and Airbus Foundation have today launched round 2 of the ‘Satellites for Biodiversity Award’.
2 October 2023
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Emma Oldham
Could you be our next team member to help empower conservation through data and technology?
28 September 2023
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David Will
Island Conservation's Innovation Team is dedicated to developing innovative, data-driven tools to increase the scale, scope, and pace of island restorations around the world. As the Conservation Innovation Manager, you...
27 September 2023
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| Description | Activity | Replies | Groups | Updated |
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| We are working on the identification of the threats along the flyway of the Egyptian vulture, endangered vutlure species migrating from... |
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AI for Conservation | 8 years 11 months ago | |
| 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 | 8 years 11 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 3 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 4 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 4 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 4 months ago |
