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.
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!
Interested in a PhD exploring the potential of AI? Please consider applying to Realize Lab at the University of Michigan CSE.
23 November 2022
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
Working with a team of conservation practioners, scientists, and technologists, the Spatial Data Analyst uses leading-edge earth observation data in new and effective ways to inform conservation practice locally,...
8 November 2022
The Earth Species Project (ESP) is a nonprofit organization dedicated to decoding animal communication and translating non-human language.
8 November 2022
The large gap between data availability & use.
28 October 2022
*New closing date!* WILDLABS and Fauna & Flora International are seeking an early career conservationist for 12-month paid internship position to grow and support the Southeast Asia regional community in our global...
19 October 2022
Can we build an AI-driven system for managing the planet? Perhaps — but let’s be realistic about the challenges & what it can achieve. First in a series on the promise and challenges to using AI and machine learning...
13 October 2022
Try AI is seeking mentors for our upcoming 2023 Micro-internship Program, a two-week, virtual micro-internship exploring artificial intelligence research and its potential application in society.
11 October 2022
The series will focus on how AI is being used to support conservation efforts. The series will discuss the past, present and future of how these technologies advance sustainability, with a focus on the future, and an...
11 October 2022
A collaborative and cross-disciplinary meeting of audio data scientists spawns creative research collaborations
3 October 2022
Check out these openings to join Google's global Sustainability Programme. Location varies.
3 October 2022
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15 November 2022 4:08pm
New article: Domain-specific neural networks improve automated bird sound recognition already with small amount of local data
15 November 2022 11:03am
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Hierarchical Deep Learning to Improve Automatic Classification of Pests and Biodiversity Monitoring in Agroecosystems
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New paper: Integrating machine learning, remote sensing and citizen science to create an early warning system for biodiversity
7 November 2022 7:10pm
Opinion paper describing "how data acquired from remote sensing, citizen science & other monitoring approaches could feed in near-real time to an early warning system for biodiversity that integrates automated red-listing of species with the identification of priority areas for conservation."
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