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!
Technologist, birder, photographer and mountain guide.
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PhD candidate studying drone flight planning for enabling tracking and identification of individual characteristics of wildlife; member of the WildDrone, an MSCA Doctoral Network funded by the European Union’s Horizon Europe research
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Movement Ecologist studying the where, why, and how animals move throughout our world. Current work is investigating the movement and energetics of large neotropical bats in a changing environment with ephemeral resources.
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- @TheDataEnthusiastic
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Hi, I'm pursuing Master's in Data Science. And I want work help protect nature and wildlife.
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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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PhD fellow using deep learning to investigate marine fish acoustic signals and social behaviour.
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GreenLab
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Biologist I consider myself a data scientist with a passion for nature and with an extensive experience in species distribution modeling, handling large data sets from different sources such as gbif, eBird, xeno-canto, Worldclim, Terraclimate, ocean color e NASA among others. But
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Environmentalist and Python developer working in the realm of Remote Sensing. Fascinated by the intersection of technology and nature, with a focus on machine learning, ecological modeling, and biodiversity monitoring. 🌍
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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
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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
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Description | Activity | Replies | Groups | Updated |
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Hi there Camilo, What an interesting project! If you are looking for a lower cost, but effective tools for acoustic monitoring you might want to look into two options: ... |
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Acoustics, AI for Conservation, Data management and processing tools, Sensors, Software and Mobile Apps | 1 year 10 months ago | |
Hi Yvan,If you find something which reaches your expectation and especially the ability to identify individual with plumage patterns I will be intereted.In the same idea that... |
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AI for Conservation, Camera Traps | 2 years ago | |
Have you considered creating a Kaggle competition? If you already have lots of images, and some that have been labelled, then this could be a good way to get people working on a... |
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AI for Conservation, Autonomous Camera Traps for Insects, Camera Traps | 2 years ago | |
Hi everyone, I'm new here! I'm a UX designer and researcher, and an animal lover. Excited to be part of Conservation Tech here at WildLabs... |
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AI for Conservation, Human-Wildlife Conflict, Software and Mobile Apps, Wildlife Crime | 2 years 1 month ago | |
@gracieermi & I are happy to announce the latest update to the Conservation Tech Directory, bringing our total resources in the... |
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Acoustics, AI for Conservation, Biologging, Camera Traps, Community Base, Data management and processing tools, Drones, eDNA & Genomics, Remote Sensing & GIS, Software and Mobile Apps | 2 years 1 month ago | |
Thank you so much Netty, I really enjoyed it.Good luck to you all with your work.Keep well! |
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AI for Conservation, East Africa Community | 2 years 1 month ago | |
Thank you @carlybatist , @Freaklabs and @MK . The inputs are very useful and I am progressing on my project based on that. Appreciate a lot. |
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Acoustics, AI for Conservation | 2 years 1 month ago | |
Some folks doing work in this space - Wildlife Drones, Conservation Drones, UAV Wild, AfricanDrones, Oceans Unmanned, Geonadir. |
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Drones, AI for Conservation, Citizen Science, eDNA & Genomics, Emerging Tech | 2 years 1 month ago | |
Dear Community,Together with Hackster.io, Seeed Studio is very happy to jointly organize “IoT Into the Wild Contest for Sustainable Plant... |
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AI for Conservation, Connectivity, Emerging Tech, Open Source Solutions, Sensors | 2 years 2 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 |
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AI for Conservation | 2 years 2 months ago | |
Fascinating article, combining machine learning and acoustical signals to correlate coral reef health.https://www.sciencedirect.com/science... |
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Acoustics, AI for Conservation, Marine Conservation | 2 years 2 months 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 ... |
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AI for Conservation | 2 years 8 months ago |
Hello buzzing World!
7 July 2019 6:55pm
ML at the Edge
28 June 2019 8:16am
Meetup: Machine Learning/AI on Earth Observation Data (23 July, London)
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21 June 2019 12:00am
New open data site for fisheries
10 June 2019 7:17pm
Workshop & Challenges on Computer Vision for Wildlife Conservation (CVWC) at ICCV 2019
5 June 2019 6:51am
Technology companies, FCO, and conservation NGOs come together to scale technology solutions to end wildlife crime
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4 June 2019 12:00am
AI for Earth Innovation Grant (extended)
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4 June 2019 12:00am
CogX Festival of AI and Emerging Technology - free tickets for WILDLABS members
16 May 2019 12:12pm
3 June 2019 4:53pm
Are there any free tickets left for CogX?
I am on [email protected]
3 June 2019 5:04pm
yep! Drop me an email at [email protected] and I'll get you a link.
Steph
How machine learning can help fight illegal wildlife trade on social media
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31 May 2019 12:00am
GWP Webinar Recording: Using SMART at scale for effective wildlife protection
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21 May 2019 12:00am
WILDLABS TECH HUB Showcase
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17 May 2019 12:00am
Meet the WILDLABS TECH HUB Winners
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13 May 2019 12:00am
Call for Papers: Data Mining and AI for Conservation Workshop at KDD 2019
15 April 2019 12:00am
Huge appetite for data trusts, according to new ODI research
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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
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18 March 2019 12:00am
#Tech4Wildlife Photo Challenge: Our Favourites from 2019
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3 March 2019 12:00am
Conserving the Sumatran and Javan Rhino
15 January 2019 7:39pm
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 [email protected].
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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18 February 2019 12:00am
ChimpFace: Facial recognition to combat wildlife trafficking
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6 February 2019 12:00am
UK’s first data trusts to tackle illegal wildlife trade and food waste
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31 January 2019 12:00am
The Ecosulis Rewilding Tech Challenge
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14 January 2019 12:00am
WILDLABS Virtual Meetup: Big Data in Conservation
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27 November 2018 12:00am
Canopy cameras shed new light on monkey business in Brazil
22 November 2018 12:00am
A technologist's journey to protect wildlife: The reality and potential of conservation technology (recorded talk)
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22 November 2018 12:00am
WILDLABS Virtual Meetup: Networked Sensors for Security and HWC Prevention
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12 November 2018 12:00am
Tusk Conservation Lecture 2018: Ted Schmitt
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15 October 2018 12:00am
Biology Undergrad Attempts Automated Species Recognition Using MacBook Air and Google
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1 October 2018 12:00am
How to share data on species to help conserve them… whilst avoiding them being exploited by poachers
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20 August 2018 12:00am
28 May 2019 12:02pm
UPDATE: We've had quite a few members emailing us for tickets, so I'm looking forward to meeting everyone in person! We've now been allocated some extra tickets, so if you are interested you're in luck, there is still a chance to come along.