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!
- 0 Resources
- 0 Discussions
- 9 Groups
- 0 Resources
- 1 Discussions
- 6 Groups
- @Diep
- | Ms
- 0 Resources
- 0 Discussions
- 4 Groups
Zoological Society London (ZSL)
- 0 Resources
- 2 Discussions
- 9 Groups
- @jsevans
- | He, Him
Senior biometrician, with the Nature Conservancy science team, attempting to bring vigor from diverse fields such as landscape ecology, spatial statistics, remote sensing and applied mathematics to answer practical conservation questions.
- 0 Resources
- 0 Discussions
- 7 Groups
- @StreamingScience
- | he/him/his
Georgia Institute of Technology
Andrew’s always looking to find new interdisciplinary teams in the conservation tech space. He is a postdoctoral researcher at Max Planck Institute, who completed his PhD at Georgia Tech in 2022. His interests including conservation tech education and engineering work.
- 0 Resources
- 14 Discussions
- 3 Groups
Max Planck Institute of Animal Behavior (MPI-AB), Technical University of Munich (TUM)
Behavioral Ecologist
- 0 Resources
- 1 Discussions
- 14 Groups
Wildlife Logistics
Ecologist / Business Management
- 0 Resources
- 0 Discussions
- 11 Groups
- @christine.mungai
- | she/her
- 0 Resources
- 0 Discussions
- 2 Groups
Leveraging big data to solve hard, open ended and socially impactful problems| Ex - Palantir
- 0 Resources
- 0 Discussions
- 14 Groups
- @eliseb227
- | she/her
Duke University
Master of Environmental Management student at Duke University studying how technology can facilitate conservation efforts in a multitude of ecosystems.
- 0 Resources
- 0 Discussions
- 7 Groups
- 0 Resources
- 0 Discussions
- 1 Groups
Join us as we count down the WILDLABS community's honorees in the first-ever #Tech4Wildlife Community Choice Awards!
3 August 2023
In this interview with Edge Impulse’s Daniel Situnayake, we discuss how we can achieve that balance for machine learning tools, and how to maximize technology’s potential for good.
2 August 2023
Exciting opportunity for an experienced biodiversity monitoring expert in ZSL's conservation department
18 July 2023
Apply for funding (£500,000-£750,000) to develop software systems, which will help to improve biodiversity monitoring by automating the analysis of images and videos
12 July 2023
We are seeking applications from promising early-career scientists and data scientists with interesting, innovative, and viable research ideas for the Future Leader Fellowship
12 July 2023
Article
At Appsilon, we are always working to enable our users to get the most out of our solutions. With this in mind, we are happy to introduce two new add-ons to Mbaza AI.
4 July 2023
Apply to work with an absolutely all-star group developing AI/ML techniques and models for acoustic monitoring!
28 June 2023
The GSMA ClimateTech programme
21 June 2023
PhD opportunity aims at developing novel imaging methods and deep learning algorithms to describe and classify earthworms at Aarhus University.
21 June 2023
JICA, Japan’s International Cooperation Agency is seeking a digital partner with a proven track record in conservation technology as we launch a pilot project to test technologies to mitigate human-elephant conflict in...
19 June 2023
If you are passionate about making a difference in the world, enthusiastic about biodiversity, and excited about the potential of AI, check out this role!
15 June 2023
Job opportunity in Leiden, The Netherlands
9 June 2023
June 2024
July 2024
August 2024
event
event
September 2024
event
event
October 2024
December 2018
event
November 2018
event
54 Products
Recently updated products
14 Products
Recently updated products
Description | Activity | Replies | Groups | Updated |
---|---|---|---|---|
Dear Community,Together with Hackster.io, Seeed Studio is very happy to jointly organize “IoT Into the Wild Contest for Sustainable Plant... |
|
AI for Conservation, Connectivity, Emerging Tech, Open Source Solutions, Sensors | 1 year 11 months ago | |
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 |
|
AI for Conservation | 1 year 11 months ago | |
Fascinating article, combining machine learning and acoustical signals to correlate coral reef health.https://www.sciencedirect.com/science... |
|
Acoustics, AI for Conservation, Marine Conservation | 2 years ago | |
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 ... |
|
AI for Conservation | 2 years 5 months ago | |
Hi everyone! We are spreading the word about a free, open-source tool called Zamba that automatically detects and... |
|
AI for Conservation | 2 years 6 months ago | |
Hi Wildlabbers, This week's Tech Tutor Jamie MacAulay is talking about how to use and analyze large acoustic data using... |
|
Acoustics, AI for Conservation, Marine Conservation | 2 years 7 months ago | |
Hi Wildlabbers, We're getting ready for tomorrow's episode with Tech Tutor Lily Xu, who'll talk to us about how machine... |
|
AI for Conservation, Protected Area Management Tools, Wildlife Crime | 2 years 9 months ago | |
Looks good, but what is the added value compared to other examples as Obsidentify and Plantnet? |
+13
|
AI for Conservation | 2 years 9 months ago | |
https://www.dryad.netJob description"Dryad is an environmental IoT startup based in Berlin-Brandenburg. Our mission is to develop a large-... |
|
AI for Conservation | 2 years 9 months ago | |
Deep Learning Engineer at Pachama - https://jobs.lever.co/pachama/81716dd9-8019-4916-add2-fcfaae426331 Embedded Software Engineer... |
|
AI for Conservation | 2 years 9 months ago | |
Hi everyone, We're excited to welcome Nicole Flores to Tech Tutors to walk us through getting started with Wildlife Insights! ... |
|
AI for Conservation, Camera Traps, Data management and processing tools | 2 years 10 months ago | |
Hi all, We're excited to welcome Siyu Yang to Tech Tutors to chat about getting started with Megadetector! For all you AI... |
|
AI for Conservation, Camera Traps, Data management and processing tools | 2 years 10 months ago |