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!
This article provides a review of deep learning (predominantly ML) used in marine ecology and considerations for its future directions in conservation. In plain language, the authors provide a methodology for training...
20 December 2021
This study breaks ground in outlining a methodology for a system of low-cost, long-term camera traps (Dispersed Environment Acquatic Cameras) that can be deployed over large spatial scales in remote marine environments...
30 November 2021
In pursuit of saving the Monarch butterflies, Carlo Mondavi- pioneer of the Monarch challenge- was inspired to develop the world's first fully electric smart tractor tractor with co-founder and Chief Executive, Praveen...
29 November 2021
Article
This research article explores the challenges of achieving environmental data justice, with the continued advancement in technology and growth in available data. The author emphasises the necessity to prioritise ...
26 November 2021
In Ellie Warren's interview with Sara Beery as part of the Technical Difficulties Editorial Series, they discussed how the hype surrounding machine learning impacts our perceptions of failure, and how conservationists...
23 November 2021
CAIMAN is a product from the Sensing Clues Foundation that automatically classifies animals on images from camera traps. It aims to be available by the end of 2021, contact the Sensing Clues team for more details. This...
18 November 2021
The GEO-Microsoft Planetary Computer Programme invites the GEO community to be among the early adopters of Microsoft's Planetary Computer. The Programme will support a number of 12-month projects that use The Planetary...
4 November 2021
On 3rd November 2021, Earthranger Announced Giraffe Conservation Foundation and Lion Guardians as the inaugral Conservation Tech Award Recipients. The two organizations are Harnessing the Power of Technology to Protect...
3 November 2021
The Centre for Statistics in Ecology, Environment and Conservation, a research group within the Department of Statistical Sciences at the University of Cape Town, is now hiring for a funded postdoc or PhD postion with...
1 November 2021
This article explores the use of IoT and Machine Learning Technologies in Ewaso Nyiro River, Kenya - which serves several communities as well as wildlife in Olpejeta Conservancy and Lewa Conservancy, among others. Data...
21 October 2021
The International Journal of Computer Vision is calling for papers on Computer Vision Approach for Animal Tracking and Modeling. Visit the Springer website for further details and submission guidelines.
20 September 2021
In this thought piece from Whale Seeker, Malcolm Kennedy considers the strengths of weaknesses of citizen science and AI, both used to analyze large amounts of conservation data, and discusses the importance of data...
19 August 2021
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Join Seeed’s “IoT Into the Wild Contest for Sustainable Planet 2022” on Hackster to Get 100 Free Hardware and to Win $14,000+ in Prizes!!
14 June 2022 11:04am
Join Seeed’s “IoT Into the Wild Contest for Sustainable Planet 2022” on Hackster to Get 100 Free Hardware and to Win $14,000+ in Prizes!!!
14 June 2022 9:14am
Switch to Conservation IT
10 June 2022 1:47am
11 June 2022 3:10pm
Thanks Carly. No special areas of interest for now although that will happen over time. Thanks so much for your reply. I will check the Conservation Tech directory out.
Soumya
2 postdoc positions: AI for Biodiversity Monitoring
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TAI4ES: Trustworthy Artificial Intelligence for Environmental Science, 2022 summer school
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Postdoc: computer vision for insect monitoring
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3 open positions at Impact Observatory
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Science Director, Vulcan
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New microprocessor for low power AI camera & audio applications from Microchip
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Global Forest Watch Small Grants Fund
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Post-doc in Multi-Sensor Fusion for Animal Biomechanics
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UKAN+ Monitoring UK Biodiversity Symposium 15-16th June
31 May 2022 2:58pm
WILDLABS Virtual Meetup: Future Questions & Tools in Movement Ecology
24 May 2022 10:10pm
A comprehensive review on biodiversity information portals
9 May 2022 3:16pm
Executive Director - The Eric & Wendy Schmidt Center for Data Science & Environment, UC Berkeley
9 May 2022 10:13am
CV4Ecology Summer School
3 May 2022 6:13pm
WILDLABS Virtual Meetups Season Four: Tracking Progress
29 April 2022 9:57am
News: The Latest in Conservation Tech (March 24)
24 March 2022 12:00am
Apply now: Women in Conservation Technology Programme, Kenya
8 March 2022 12:00am
BirdCLEF 2022 Kaggle Challenge
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WILDLABS Fellowships & Awards: Matchmaking between tech and conservation
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Deep Learning for Marine Ecology and Conservation
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AI for Conservation Office Hours: are you interested?
8 October 2021 12:00pm
25 October 2021 4:13pm
Hi Wildlabbers!
We're now going ahead with a small pilot of around ten 1:1 office hour sessions with Microsoft AI for Earth specialists. More details coming very soon.
For the time being sign-ups are now closed, but thank you to everyone who has been interested. We will keep you updated on how the 1:1s go and whether there will be further sessions to sign up for later in the year.
Cheers,
Lucas
14 December 2021 2:47pm
We've now wrapped our first run of AI for Conservation Office Hours and you can read my review of how it went and lessons learned here.
Given the overall success of the programme, we're excited to announce that in early spring next year we will be coordinating a second round - so keep an eye out for further updates in the new year on the application and sign-up process.
Also, we'd love to know whether you'd be interested in having a 1:1 so comment below and tell us what conservation tech challenge you would like to cover or how a session could help you in your conservation work.
Many thanks,
Lucas
AI for Conservation Office Hours: 2021 Review
14 December 2021 12:00am
Low-cost underwater camera trapping and deep learning
30 November 2021 12:00am
The race to save California's rarest butterflies
29 November 2021 12:00am
Environmental Data Justice
26 November 2021 12:00am
11 June 2022 1:39pm
Do you have any particular areas of interest within using AI for conservation tech? e.g., camera trapping, tracking/telemetry, passive acoustic monitoring, eDNA, etc.
You might also check out the Conservation Tech Directory to see what other kinds of companies, organizations, etc. are involved in those different spaces and which are best aligned with what would want to do.