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!
I'm a GIS and Remote Sensing specialist with a focus on conservation, currently working as a Visual Data Scientist. I'm passionate about leveraging AI tools to enhance conservation and environmental management efforts.
- 0 Resources
- 0 Discussions
- 6 Groups
![WILDLABS Event Speaker](/sites/default/files/styles/square_thumbnail/public/2024-02/WILDLABS%20Event%20Speaker_0.png?itok=94TUk9ZY)
- 1 Resources
- 0 Discussions
- 4 Groups
Global Biodiversity Information Facility (GBIF)
- 1 Resources
- 3 Discussions
- 6 Groups
Based in Australia, in the Blue Mountains and working with WWF-Australia on a new program "Eyes on Country". Working on the interface of tech, conservation and First Nations/Ranger groups.
- 0 Resources
- 3 Discussions
- 11 Groups
- @kimgavin
- | she/her
- 0 Resources
- 0 Discussions
- 9 Groups
- @robmcgurrin
- | he/him
- 0 Resources
- 0 Discussions
- 2 Groups
- 0 Resources
- 0 Discussions
- 9 Groups
- 1 Resources
- 1 Discussions
- 7 Groups
Senior web developer and ML practitioner
- 0 Resources
- 0 Discussions
- 6 Groups
- @Arno
- | He/Him
I am a master's student currently working on acoustic monitoring of an Endangered frog species in South Africa.
- 0 Resources
- 0 Discussions
- 7 Groups
Bioinformatician
- 0 Resources
- 0 Discussions
- 6 Groups
- @ahmed_fuad
- | he/him
CEO & Co-Founder of SpaceIn. Using geospatial data and computer systems to tackle environmental issues.
- 0 Resources
- 0 Discussions
- 3 Groups
💙 Exciting news from Appsilon! Our flagship project, Mbaza AI, is expanding its impact on nature and biodiversity conservation. We’ve teamed up with the 🦏 Ol Pejeta Conservancy to build a model for classifying images of...
16 March 2023
The Innovation in Practice edition of Methods in Ecology and Evolution is still seeking proposals about conservation technology
6 March 2023
Article
Rainforest Connection (RFCx) is bringing back the Arbimon newsletter for 2023! We're excited to share new features and tools of the platform, what's coming up, and some insights into our projects on bioacoustic...
23 February 2023
New technology enabling the automated monitoring of moths has been put to rigorous testing in tropical conditions in Panama by an international team of researchers
22 February 2023
Researchers and conservationists are embarking on a bold initiative to save the world's most trafficked wild mammal — the pangolin
16 February 2023
A machine learning-based solution that can segment the Prosomes and Lipid sacs with sufficient accuracy helps to recognize the ecological plasticity of key Arctic copepods. It allows scientists to learn more about the...
15 February 2023
Technology to End the Sixth Mass Extinction. Salary: $104k-144K; Location: Washington DC or Seattle WA, potential hybrid; 5+ years of Full stack development experience; Deadline March 15th - view post for full job...
10 February 2023
Careers
The British Antarctic Survey’s Artificial Intelligence Lab is looking to hire a machine learning engineer/researcher.
10 February 2023
You will develop and apply novel approaches and machine learning techniques for the detection, classification and identification of marine fauna from passive acoustic monitoring (PAM) validated with paired visual...
10 February 2023
Careers
On the AST Skylight team, you will work with talented engineers, domain experts, and product managers to uncover illegal fishing by developing the tools that help countries around the globe combat this problem.
10 February 2023
Are you excited by the potential for new technologies to help monitor the natural world? Do you enjoy communicating your passion for technology and nature with diverse audiences? We are seeking an enthusiastic...
2 February 2023
Consultancy opportunity at ZSL for an experienced monitoring specialist to support species monitoring in rewilding landscapes across Europe
31 January 2023
August 2024
event
September 2024
event
event
event
October 2024
November 2024
December 2018
event
November 2018
event
61 Products
Recently updated products
15 Products
Recently updated products
Description | Activity | Replies | Groups | Updated |
---|---|---|---|---|
Hi, I would just like to introduce our Project BEESWAX7 and announce that today we acheived two milestones for success; we recorded bee... |
|
AI for Conservation | 5 years 1 month ago | |
There's a discussion over in camera traps about the design of a device to run autonomously (in an inaccessible location) with reliable... |
|
AI for Conservation | 5 years 1 month ago | |
I got to help TNC launch fishnet.ai over the weekend, a home for training data for fisheries monitoring & computer vision AI. We have a... |
|
AI for Conservation | 5 years 2 months ago | |
Please consider submitting to this workshop and/or challenge which may be relevant to your work: Call for Papers and Call... |
|
AI for Conservation | 5 years 2 months ago | |
yep! Drop me an email at [email protected] and I'll get you a link. Steph |
|
AI for Conservation | 5 years 2 months ago | |
Artificial intelligence & Machine Learning Algorithms are transforming data analysis, but little is known about how they... |
|
AI for Conservation | 5 years 4 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 (... |
|
AI for Conservation | 5 years 5 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... |
|
AI for Conservation | 5 years 5 months ago | |
In case you missed it, last year the British Ecological Society published A Guide to Reproducible Code in Ecology and Evolution... |
|
AI for Conservation | 6 years 4 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,... |
|
AI for Conservation | 6 years 9 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... |
|
AI for Conservation | 6 years 10 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... |
|
AI for Conservation | 6 years 10 months ago |