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!
MSc in AI for Sustainable Development at UCL
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- @aniyaz533
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A keen willdlife biologist looking forward to work on Otters ecology in Himalayan landscape
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I'm a computer engineer with a master's degree in Artificial Intelligence, I love nature and wildlife
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Geographer, Program Manager, Engineering Manager
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A Marine Conservationist based in Malaysia
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Graduate Student Researcher interested in computer vision, agro-ecology, and sustainability.
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Snow Leopard Trust
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Colorado State University
I am a graduate student at Colorado State University working to develop novel acoustic technology for remotely monitoring wildlife.
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PhD in Animal Ecology and Behavioural Physiology. Interested in the movement, behavioural and physiological responses of animals to environmental variability.
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20+ years traveler and management consultant turned tech founder and conservationist. Founder & CEO of ZAMBEZI ZERØ; super intelligence to safeguard biodiversity.
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Product Designer focusing on a project about marine mammal conservation.
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Fauna & Flora
Programme Officer at the Conservation Leadership Programme
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Careers
2 postdoc positions: AI for Biodiversity Monitoring
Carly Batist
Evolutionary Ecology group at Naturalis Biodiversity Center (the Netherlands)
11 June 2022
Careers
Postdoc: computer vision for insect monitoring
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In David Rolnick's group at Mila Quebec AI Institute & McGill University
4 June 2022
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3 open positions at Impact Observatory
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IO is hiring for a Software Engineer, Machine Learning Scientist, and Head of Machine Learning & Science
4 June 2022
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Science Director, Vulcan
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Are you passionate about making a meaningful impact on our community? Seattle-based Vulcan is looking to hire a science leader to support its work advising the Paul G. Allen Family Foundation.
4 June 2022
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3 June 2022
Funding
Global Forest Watch Small Grants Fund
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Global Forest Watch's Small Grants Fund is now open for applications for the 2023 grant cycle. Deadline is August 1.
1 June 2022
Careers
Post-doc in Multi-Sensor Fusion for Animal Biomechanics
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The African Robotics Unit is looking for a Postdoctoral Research Associate to join A/Prof. Amir Patel’s lab at UCT. The Postdoc will investigate how sensor fusion can be leveraged to understand the locomotion of...
1 June 2022
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A comprehensive review on biodiversity information portals
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Looking for biodiversity data? New review paper has an overview of biodiversity information portals, both global and country-specific
9 May 2022
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29 April 2022
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News: The Latest in Conservation Tech (March 24)
WILDLABS Team
Check out this round-up of three of the latest conservation tech studies and news. See more conservation tech news by subscribing to our bi-monthly digest.
24 March 2022
Community Announcement
Apply now: Women in Conservation Technology Programme, Kenya
Stephanie O'Donnell
Are you an early career Kenyan conservationist looking to explore emerging conservation technologies while networking with a strong cohort of other female leaders? Apply now for our 6-month Women in Conservation Tech...
8 March 2022
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| Description | Activity | Replies | Groups | Updated |
|---|---|---|---|---|
| Please consider submitting to this workshop and/or challenge which may be relevant to your work: Call for Papers and Call... |
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AI for Conservation | 5 years 11 months ago | |
| yep! Drop me an email at stephanie.odonnell@wildlabs.net and I'll get you a link. Steph |
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AI for Conservation | 5 years 11 months ago | |
| Artificial intelligence & Machine Learning Algorithms are transforming data analysis, but little is known about how they... |
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AI for Conservation | 6 years 2 months ago | |
| Hi Colin, At the BearID Project, we are working on a similar problem for brown bears. We are currently using machine learning methods developed for human facial recognition (... |
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AI for Conservation | 6 years 3 months ago | |
| Hi Ollie, Great article, thank you! I mostly work with responsible AI in other contexts, at Doteveryone.org.uk and the Trust & Technology Initiative at the... |
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AI for Conservation | 6 years 3 months ago | |
| In case you missed it, last year the British Ecological Society published A Guide to Reproducible Code in Ecology and Evolution... |
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AI for Conservation | 7 years 2 months ago | |
| Hey Steffen, I know you've had a student working on this challenge for the past year - how is this project progressing? If you (or your student) have a moment,... |
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AI for Conservation | 7 years 7 months ago | |
| Hi Kate, It's really exciting to hear that you've now launched the challenge, congratulations on getting to this point! It's going to be interesting to... |
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AI for Conservation | 7 years 8 months ago | |
| If you're interested, you can check out the live recordings from past events (links below take you to the videos): August: The Blockchain The Blockchain's potential... |
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AI for Conservation | 7 years 8 months ago | |
| Hypraptive and Brown Bear Research Network collaboration to develop a deep learning, brown bear face identification system: BearID Project. [Disclosure: I am a member of... |
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AI for Conservation | 7 years 8 months ago | |
| It looks like they haven't updated for a couple of years do you know if it is still active or are they changing to a different system like tensor flow? |
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AI for Conservation | 7 years 9 months ago | |
| Here' s a press release we put out today talking about how we're using a deep convolutional neural network to find and curate whale... |
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AI for Conservation | 8 years ago |
GWP Webinar Recording: Using SMART at scale for effective wildlife protection
21 May 2019 12:00am
WILDLABS TECH HUB Showcase
WILDLABS Team
17 May 2019 12:00am
Meet the WILDLABS TECH HUB Winners
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Huge appetite for data trusts, according to new ODI research
15 April 2019 12:00am
Call for Papers: Data Mining and AI for Conservation Workshop at KDD 2019
15 April 2019 12:00am
Call for Papers: Thematic issue of Environment Conservation on ‘Conservation Artificial Intelligence’
26 March 2019 10:12am
WILDLABS Virtual Meetup: Low Cost, Open-Source Solutions
WILDLABS Team
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#Tech4Wildlife Photo Challenge: Our Favourites from 2019
3 March 2019 12:00am
Conserving the Sumatran and Javan Rhino
15 January 2019 7:39pm
24 February 2019 1:28am
Hi Claire,
At the BearID Project, we are working on a similar problem for brown bears. We are currently using machine learning methods developed for human facial recognition (like Google FaceNet). We got some ok initial results, but now we are running up against small data issues. The method for human faces were trained with millions of images of hundreds of thousandes on individuals. We have a few thousand images of about a hundred individuals. We plan to investigate other methods in the future.
It will be great to keep in touch to see what methods you will be using.
Ed
24 February 2019 1:38am
Hi Colin,
At the BearID Project, we are working on a similar problem for brown bears. We are currently using machine learning methods developed for human facial recognition (like Google FaceNet). We got some ok initial results, but now we are running up against small data issues. The method for human faces were trained with millions of images of hundreds of thousandes on individuals. We have a few thousand images of about a hundred individuals. We plan to investigate other methods in the future.
The last time I talked to WildMe, the identification algorithms were based on matching unique patterns. We didn't think this would be directly applicable for brown bears as they don't have a lot of clearly identifiable markings. Have you developed other identification algorithms?
Ed
Responsible AI for Conservation?
11 February 2019 6:22pm
21 February 2019 8:17am
Hi Jaishanker
Absolutely - the overlap between image-based and sound-based analyses is increasing, and consistent terminology will no doubt help us share info.
Are you using ML in SODA for automated identification of sounds? If so, how are you determining if a given classifier is performing well?
Thanks
Ollie
21 February 2019 11:08am
Hello Ollie,
SODA is a recently launched suite. It is in the development phase. We have with us call libraries with multiple (40+) calls for 10- 12 species of birds. A research scholar is on the job for classifying at the species level.
Our interest is equally on separating the different sonic components (as stated in https://www.wildlabs.net/community/thread/666). It is different from the link shared in my previous reply. This is where I see the confluence of objectives.
As a TEAM, I believe, we can address the individual objectives faster.
regards
jaishanker
21 February 2019 9:13pm
Hi Ollie,
Great article, thank you! I mostly work with responsible AI in other contexts, at Doteveryone.org.uk and the Trust & Technology Initiative at the University of Cambridge, so don't have much to offer here, although I am very interested in the topic. I appreciate your point that many of the consumer data issues highlighted in the 'popular' responsible AI discourse aren't relevant to conservation (some of us have been gathering 'responsible tech' / 'ethical tech' resources in a shared doc, and there's essentially nothing there for conservation specifically - https://docs.google.com/document/d/1SN6hYeKe3eRK6x9D0Sr7GpCA4nirpyo3u68xG1A6NDs/edit ). However there might be some links with humanitarian data practices, which are touched on by the Responsible Data folks at https://responsibledata.io and https://www.fabriders.net/data-literacy-consortium/ or in this recent article https://asecondmouse.wordpress.com/2019/02/20/instability-forecasting-models-seven-ethical-considerations/
Best,
Laura
Using Swiss AI and Drones to Count African Wildlife
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31 January 2019 12:00am
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WILDLABS Virtual Meetup: Big Data in Conservation
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22 November 2018 12:00am
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Tusk
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20 August 2018 12:00am
Ocean Hack: San Francisco, 10-11th September, 2018
One Ocean Collab
20 August 2018 12:00am
Thermal Sensor Project Update: Testing with live animals at the San Diego Zoo
27 July 2018 12:00am
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11 June 2018 12:00am
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Eye on Earth Alliance
23 April 2018 12:00am
HWC Tech Challenge: Thermopile Sensor Project
19 April 2018 12:00am
BES Guide to Reproducible Code
27 March 2018 2:50pm
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3 March 2018 12:00am
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6 December 2017 12:00am
FIT Cheetahs
4 December 2017 12:00am
23 January 2019 10:12pm
Hello Claire,
Engineer at Wild Me here. We would love to start a conversation about a Wildbook for rhinos.
Lets talk about citizen science and computer vision for identification possibilities. I'm curious about your current data set and the identification tools you are using as a starting point. I'm happy to talk here, or you can email our team at services@wildme.org.