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!
Cornell University
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- @volkankorkmaz
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I have been working at the Underwater Association , to protect nature since 94 . Since 1992, I have been a PADI diving instructor
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Smart Parks
Founder of Smart Parks - www.smartparks.org / Founder of OpenCollar - https://opencollar.io
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Geographer, Program Manager, Engineering Manager
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Dzanga-Ndoki national park biodiversity monitoring
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- @derekrisch
- | He/Him
I'm a conservation ecologist working on invasive mammalian species. Use a variety of monitoring methods which provide an enormous amount of data (yay!) but require a lot of effort to process (nay!). Love keeping up to date on newest tech.
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World Wide Fund for Nature/ World Wildlife Fund (WWF)
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- @cleo
- | She/Her
Southern African Wildlife College
I am ecologist working in African conservation areas who loves wildlife & wild landscapes. I increasingly recognize that conservation is about people, especially those living in & around protected areas. Finding ways to benefit marginalized people is my passion.
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Sharing failure, tech support for conservation, roaming mentors, conservation tech hype cycles and developing new road maps - participants in our tech workshops at ICCB 2019 shared an abundance of ideas for how to shape...
21 August 2019
In this case study, Cooper Oelrichs of Save Indonesian Endangered Species Fund (SIES) breaks down his proposal for the development and training of an automated rhino identification system from limited camera trap data.
27 July 2019
The WILDLABS TECH HUB is supporting technology solutions tackling the illegal wildlife trade, in collaboration with the Foreign & Commonwealth Office, Digital Catapult, Satellite Applications Catapult, Amazon Web...
4 June 2019
To further their missions, LDF and Microsoft are collaborating on the AI for Earth innovation grant to support applicants in creating and deploying open source machine learning models, algorithms, and data sets that...
4 June 2019
Traditionally, illegal wildlife trade thrived in physical markets. But today it has also moved online. In China, more than half of the trade in elephant ivory items happens on e-commerce platforms. Enrico Di Minin and...
31 May 2019
This webinar recording will provide a brief overview of current SMART functionality, highlight case studies of large scale and innovative SMART deployments, and detail how SMART is embracing and leveraging new...
21 May 2019
In February, we released an open call for the WILDLABS TECH HUB, offering 3 months of support for solutions using technolgy to tackle the illegal wildlife trade. We were overwhelmed by an incredible 37 submissions,...
13 May 2019
To realise the potential benefits of data for our societies and economies we need trustworthy data stewardship. We need to establish different approaches to deciding who should have access to data, for what purposes and...
15 April 2019
Happy World Wildlife Day! To celebrate, this week we've asked our community to share photos showing how they are using tech in the field or the lab, using the #Tech4Wildlife hashtag.
3 March 2019
After a promising first run in Namibia, a Swiss project could aid savanna conservation using drones and automatic image analysis.
18 February 2019
Jacqueline Ramos explains how artificial intelligence can help to track and prevent chimpanzee trafficking across the globe.
6 February 2019
The Open Data Institute and the Office for AI are partnering to explore how data trusts could help to solve environmental, societal and industry challenges by enabling increased access to data while retaining trust....
31 January 2019
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61 Products
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Description | Activity | Replies | Groups | Updated |
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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 | 6 years 11 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 | 6 years 11 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 | 7 years 2 months ago | |
For those interested: in the acoustics channel I have posted news on our sound event recognition sensor, using conv-net: https://... |
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AI for Conservation | 7 years 3 months ago | |
Ah! Thanks for posting this Tom. It's such a well designed, simple to understand video series, and the backing track is utterly delightful. Given the... |
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AI for Conservation | 7 years 4 months ago | |
Hello all, I'm looking at using a combination of machine learning and satellite imagery to identify and count individual animals,... |
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AI for Conservation | 7 years 10 months ago | |
We are working on the identification of the threats along the flyway of the Egyptian vulture, endangered vutlure species migrating from... |
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AI for Conservation | 8 years 2 months ago | |
Hi Jason, Thanks for sharing this demo, it's interesting to see the fluke id process in action. Is this part of the flukebook project? How do you see the project... |
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AI for Conservation | 8 years 2 months ago | |
Hi folks! The team at Skytruth (responsible for Global Ocean Watch) are looking for a machine learning developer. It might be of... |
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AI for Conservation | 8 years 6 months ago | |
Hi, I am jason Holmberg from WildMe.org. I am one of the developers of Wildbook (wildbook.org), an open source data management platform for wildlife research. I'm... |
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AI for Conservation | 8 years 6 months ago | |
I'd like to suggest our open source package Wildbook (http://www.wildbook.org) as a base data management platfor for this. I agree with the above that there are a number of... |
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AI for Conservation | 8 years 7 months ago | |
Over the past year the open data GDELT Project (http://gdeltproject.org/), which monitors local news coverage worldwide in... |
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AI for Conservation | 8 years 7 months ago |
Webinar: Citizen Science Online
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26 March 2020 12:00am
WILDLABS Tech Hub: Poreprint
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26 March 2020 12:00am
Enter the Zooniverse: Try Citizen Science for Yourself!
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18 March 2020 12:00am
Tutorial: Train a TinyML Model That Can Recognize Sounds Using Only 23 kB of RAM
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16 March 2020 12:00am
Accepting Applications: ArcGIS Solutions for Protected Area Management
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4 March 2020 12:00am
Competition: Plastic Data Challenge
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3 March 2020 12:00am
Call for Nominations: Tusk Conservation Awards
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3 March 2020 12:00am
Hawai'i Conservation Conference
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28 February 2020 12:00am
Competition: The Artisanal Mining Grand Challenge
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26 February 2020 12:00am
Listening to Nature: The Emerging Field of Bioacoustics
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24 February 2020 12:00am
Team for Building of ML app for horse identification and conservation
20 February 2020 11:09pm
HWC Tech Challenge Update: Thermal Elephant Alert System
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17 February 2020 12:00am
ICEI2020: 11th International Conference on Ecological Informatics
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14 February 2020 12:00am
Seafood fund seeks ideas for innovation projects up to £250k
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11 February 2020 12:00am
WILDLABS Virtual Meetup Recording: Acoustic Monitoring
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5 February 2020 12:00am
AI for camera trap public data
17 December 2019 9:20pm
A New Cloud Platform Unveils the Most Diverse Camera Trap Database in the World
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17 December 2019 12:00am
[ARCHIVED] Workshop on Deep Learning Methods and Appliocations for Animal Re-Identification
25 November 2019 6:24pm
WACV2020 AI for Animal Re-ID: Deep Learning Methods and Applications for Animal Re-Identification
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25 November 2019 12:00am
WILDLABS Virtual Meetup Recording: Drones
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9 November 2019 12:00am
Camera Trapping: Incredibly Useful Resources List
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5 November 2019 12:00am
Who wants to learn Python? Courses to get you started coding
2 May 2016 3:13pm
1 March 2019 9:20am
Hello everyone what are you wating for..
All US, UK, India users can enroll courses from Intellipaat (the largest IT trainng company)
check some of thier superb training list:
29 October 2019 4:52pm
Chuck's Python for Everyone course is available these days at www.py4e.com, and he's also created a course called Web Apps for Everyone www.wa4e.com. Both excellent resources, and he's a strong proponent for (and creator of) open source educational tools in general.
Lucy
Plant-Powered Camera Trap Breakthrough
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15 October 2019 12:00am
Using Artificial Intelligence to Track Birds’ Dark-of-Night Migrations
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9 October 2019 12:00am
Camera Trap Technology Symposium (Recordings): Bringing Developers and Users Together
2 September 2019 12:00am
ICCB 2019: 5 Key Discussions about the Future of Conservation Tech
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21 August 2019 12:00am
Conservation biologists find new applications for AI tools
5 August 2019 2:57pm
Automated Identification of Indonesian Rhinos
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27 July 2019 12:00am
[ARCHIVED] Position: UI/UX Machine Learning Engineer
8 July 2019 11:27pm
[ARCHIVED] Position: Senior Computer Vision Research Engineer
8 July 2019 10:42pm
31 August 2017 9:06am
A couple of years ago I completed the Coursera course Programming for Everybody (Getting Started with Python) with Charles Severance. I found it really well paced and well taught. He's a very personable tutor, and has also written a free book Python for Everybody, available as a PDF.
I found the Coursera course on R Programming with Roger Peng to be more difficult to follow, but I'm not sure whether that was down to the teaching style or the language itself. For R, I'd definitely recommend the best place to get started is swirl - Learn R, in R!
Happy coding