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!
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I'm a conservationist working in the Vulture conservation space in South Africa with a huge passion for technology.
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Computer Scientist
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Dedicated research scientist with over 8 years of experience in cartography, spatial analysis, and statistical modeling to tackle environmental, public health, and socio-economic challenges. Passionate about leveraging geospatial technology to drive impactful solutions.
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Ecodash.ai is an artificial intelligence platform for ecological modeling, design, and restoration.

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- @TMaroulis
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Farmer/Engineer looking to apply technology to the rangelands
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Data Scientist/AI Engineer, Birdwatcher, Trail Runner: here to learn about conservation tech & contribute where I can.
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Background in sustainable development + data science, AI for bioacoustics (BSc Cooperation and Development, Italy; MSc data science, Sweden)



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- @lvgliarose
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Bat Conservation Trust
Research Manager at Bat Conservation Trust
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HawkEars is a deep learning model designed specifically to recognize the calls of 328 Canadian bird species and 13 amphibians.
13 May 2025
Hi together, I am working on detecting causalities between land surface dynamics and animal movement by using satellite-based earth observation data. As this is might be your expertise I kindly ask for your support...
8 May 2025
Weeds, by definition, are plants in the wrong place but Weed-AI is helping put weed image data in the right place. Weed-AI is an open source, searchable, weeds image data platform designed to facilitate the research and...
7 May 2025
The intern will help the Global Science team expand our understanding of nature-based solutions through artificial intelligence (AI) and support our efforts to create a model for data collection and analysis that can...
18 April 2025
Driving off-highway vehicles (OHVs), which contributes to habitat degradation and fragmentation, is a common recreational activity in the United States and other parts of the world, particularly in desert environments...
8 April 2025
Conservation International is proud to announce the launch of the Nature Tech for Biodiversity Sector Map, developed in partnership with the Nature Tech Collective!
1 April 2025
$3 millions of funding for NGO in Brazil using AI for conservation / $ 3 milhões em financiamento para ONGs no Brasil que usam IA para conservação!
1 April 2025
Funding
I have been a bit distracted the past months by my move from Costa Rica to Spain ( all went well, thank you, I just miss the rain forest and the Ticos ) and have to catch up on funding calls. Because I still have little...
28 March 2025
Funding
The AI Weather Quest, organised by the European Centre for Medium-Range Weather Forecasts (ECMWF), is an ambitious international competition designed to harness artificial intelligence (AI) and machine learning (ML) in...
25 March 2025
InsectSet459 - the first large-scale open dataset of insect sounds, featuring 26,399 audio clips from 459 species of Orthoptera and Cicadidae.
24 March 2025
Naturalis is looking for a postdoc in AI for Ultrasonic Bioacoustic Monitoring
24 March 2025
Funding
The Compute for Climate Fellowship is a global R&D funding program that empowers climate tech startups to leverage advanced cloud computing and AI in the fight against climate change.
22 March 2025
June 2025
event
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October 2025
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December 2023
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73 Products
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Description | Activity | Replies | Groups | Updated |
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📸 Do you use camera traps in your work? Take part in our survey!Hi everyone! I’m currently a final-year engineering... |
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Camera Traps, AI for Conservation, Data management and processing tools, Open Source Solutions, Software Development | 3 weeks 4 days ago | |
WILDLABS colleagues—My team at TNC is looking for support as we try to understand opportunities of AI applications for freshwater (eco)... |
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AI for Conservation | 4 weeks 1 day ago | |
Hi Adam! Sounds like you have your work cut out for you. I have not used radar systems or AI systems for this sort of detection, but there are methods using change detection... |
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AI for Conservation, Drones, Wildlife Crime | 1 month ago | |
Hey Amber, that makes a lot of sense! And this effort by Insect Detect is amazing, thanks for sharing! |
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AI for Conservation, Autonomous Camera Traps for Insects | 1 month ago | |
Ritika, All the best! I hope someone provides a more substantive answer! I have also graduated with masters in AI and ML recently. Difference being I am at the end of my... |
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AI for Conservation, Software Development | 1 month ago | |
One of our goals with explorer.land is to bridge satellite data and on-the-ground perspectives — helping teams combine field updates,... |
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AI for Conservation, Geospatial, Open Source Solutions, Sensors | 1 month ago | |
True, the US ecosystem is a challenging space right now, for basically all sectors. We should not let the US chaos prevent us from engaging with opportunities in other... |
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AI for Conservation, Camera Traps, Connectivity, Drones, Emerging Tech, Ethics of Conservation Tech, Marine Conservation, Sensors | 1 month 1 week ago | |
Hi, just wanted to let whoever is interested that v.1.3 of DeepFaune is out! Deepfaune is a software that runs on any standard... |
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Camera Traps, AI for Conservation, Open Source Solutions | 1 month 1 week ago | |
New stable release : v1.5.1We are pleased to announce the latest release with several important enhancement, fixes and documentation improvements to ensure compatibility with the... |
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Acoustics, AI for Conservation, Open Source Solutions, Software Development | 1 month 1 week ago | |
Hi all, I'm Vainqueur BULAMBO. I'm looking for a fully funded PhD opportunity in ecological data science or conservation... |
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Acoustics, AI for Conservation, Autonomous Camera Traps for Insects | 1 month 2 weeks ago | |
A nice work from @dmorris! See his LK post. "Lots of information in the conservation literature is represented in maps (e.g., the... |
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AI for Conservation, Geospatial | 1 month 2 weeks ago | |
Hi all, I'm the founder of a company in Texas that provides thermal drone surveying for private game ranches. Right now, we're doing everything completely manually in terms of... |
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AI for Conservation | 1 month 2 weeks ago |
How do I launch machine learning projects using MLOps?

25 January 2021 12:00am
How do I start a Tech4Wildlife collaboration?

18 January 2021 12:00am
Edge Impulse Becomes the First AI Company to Join 1% for the Planet
15 January 2021 12:00am
X-Prize for Rainforests
26 November 2019 9:19am
30 June 2020 5:45pm
Hi everyone!
I only just came across this thread and the Rainforest XPrize. I would love to be a part of the team if it's not too late. I filled out the Google Sheet form with my experience, but I also wanted to post a note in the form. I have experience managing conservation tech projects (with some members of this forum!), testing tech in the field, and conducting biodiversity surveys in the Amazon. I read through the Google Docs notes from previous meetings and you all have some interesting ideas. I would love the be a part of future planning meetings if you'll have me!
11 January 2021 7:06pm
I know I'm very late, but I only discovered this recently. Is your team still active/accepting new members?
Tech Tutors: How do I use pattern matching analysis to label acoustic data with RFCxArbimon?
17 December 2020 3:31pm
17 December 2020 9:22pm
Thanks everybody for joining today's session! I've attached the article here that describes Pattern Matching in greater detail to respond to some of the questions from today's session.
Also, here is a link to our Privacy Policy and our Terms of Service for the individual who had questions about GDPR. Feel free to contact us at support@rfcx.org with any other questions about the platform or Pattern Matching in general!
23 December 2020 3:21am
Zephyr and Marconi, thanks for the great talk and your hard work that made this platform available to the public!! I'm experimenting with the pattern matching function to create some training data but have issues trying to get the "Jobs'' to run. I only have 18 files for each of these tests, but only 1 processed to 11.1% while two others stay at 0%. The internet connection was briefly interrupted when I created the first job and was fine later on. I can only Hide, not delete or re-run these jobs, so I'm not sure what to do. Any suggestions would be greatly appreciated. Thanks so much!
23 December 2020 3:27pm
Hi @pmnguyen1224 , thanks for reaching out and checking out the system! We would love to help ensure that you're able to get pattern matching to work for you! I do have a few questions for you so we can replicate issue you are experiencing. Would you mind emailing us a couple screenshots and your original message above at support@rfcx.org to get started? Or feel free to send us a chat if that's easier, by clicking on the chat icon on https://arbimon.rfcx.org/. Looking forward to supporting you moving forward!
British Antarctic Survey: Monitoring Whales From Space
21 December 2020 12:00am
Realtime video analysis using ML on Raspberry PI
25 September 2020 3:15pm
11 December 2020 12:19pm
Hi Andrew,
Yo need to train a lightweight DNN model for bird flocks which can then be deployed on Raspberry Pi. For initial starters, you can look into the below tutorial:
https://www.pyimagesearch.com/2017/10/16/raspberry-pi-deep-learning-object-detection-with-opencv/
Best
Piyush
FIS Call for Expressions of Interest (closed)
8 December 2020 12:00am
How do I use pattern matching analysis to label acoustic data with RFCx Arbimon?

8 December 2020 12:00am
Making the Most of Tech Tutors Season 2!

30 November 2020 12:00am
Kaggle Competition: Species Audio Detection
24 November 2020 12:00am
WILDLABS Tech Tutors: Season Two

24 November 2020 12:00am
WILDLABS: Building a Better World with ‘Bad’ Data
17 November 2020 12:00am
Weekly Event: OTN Virtual Study Hall

16 November 2020 12:00am
Google unveils search engine for open data
6 September 2018 4:26pm
10 September 2018 7:57am
I agree – this is a very welcome development, and it’s early days; I’m sure it will improve rapidly though. Whilst recognising that there are lots(!) of excellent data repositories out there already, with necessarily specialist functionality, there’s long been a need for something that can overarch these effectively, a ‘discovery portal of discovery portals’. Hopefully this can help do that.
After a cursory look, a couple of things struck me, from a user perspective: 1 –definitely some odd/limited search results at the moment, but as noted it’s early days – it’ll snowball as data owners get on board and standards adjust accordingly. 2 – more search tools would be beneficial e.g. date range tools, a map/bounding box search tool (cf Microsoft’s FetchClimate tool).
I also wanted to understand a bit more behind how it’s working – I assumed markup but wondered what ‘semantic web’ stuff this is drawing on. This article gives a bit more info, but I wonder how different it is to other efforts in this regard, e.g. how ARIES team have been developing semantic based tools to find best available datasets for ecosystem service modelling.
Final thought – it raises interesting questions and challenges about how to ensure things like quality and suitability are going to be measured objectively. It seems like this is an issue to be tackled as the tool develops and data owners engage more as it grows…
20 May 2020 10:24am
Hi all,
I'm fairly new to conservation technology and just getting acquainted with the extent and problems in the field. Data aggregation, standardisation and storage keep popping up as chronic problems across a lot of areas. Data seems to exist in sort of silos with different filing and access arrangements between them.
I would be interested to hear: Has the google dataset search improved drastically since its inception? Are there alternative solutions out there, or are there efforts to create them?
For example, from the bioacoustics meetup the other day, the vast datasets from the Australian Acoustic Observatory and Cornell Bioacoustics Centre don't seem to show up on google dataset search.
Andy the ARIES team you mentioned released a preview video of the interface with their ecosystem services modelling software. It seems really cool, is this something that would be useful for researchers outside of strict ecosystem services e.g. distributions of particular species temporally and spatially? What do you think of their software?
I'm not certain I'm asking the right questions here, but I'd be curious to hear your thoughts on any of this if you have any time.
15 November 2020 1:04am
This is great, thanks for sharing.
Hackathon Opportunity: Vaquita Hacks
10 November 2020 12:00am
Using Computer Vision to Protect Endangered Species
10 November 2020 12:00am
Upcoming AI for Conservation Events and Webinars
29 October 2020 10:57am
29 October 2020 11:02am
AI for Climate Forum: Lightning Talks
Bonnie Lei, Microsoft AI for Earth - 4pm GMT, October 30
Register here: https://us02web.zoom.us/webinar/register/WN_wO6ek5dTSMOmYqeMCDbkoQ
As part of the AI for Climate Forum 2020, we will host a series of Lighting Talks with industry leaders, academic representatives and researchers, NGO leaders, and policymakers; that will share ideas about the future of conservation and the harnessing of exponential technologies in the fight against climate change.
Next Guests:
October 30: Bonnie Lei, Head of Global Strategic Partnerships at AI for Earth/ Microsoft
November 6: Jenny Lawton, Startup Founder, and Innovation Expert

Tech Tutors: How do I train my first machine learning model?
18 June 2020 1:19pm
8 October 2020 9:45pm
Hi Wildlabbers,
Just popping in to share this very cool primer for beginners to embedded machine learning from our tutor Daniel Situnayake! If you're interested in learning more about the basics of TinyML, this is a great resource.
-Ellie
Training Opportunity: HarvardX TinyML Course

30 September 2020 12:00am
Webinar: Advances in Fisheries Electronic Monitoring

21 September 2020 12:00am
Tech Tutors: Review Session

3 September 2020 12:00am
Sustainable Fishing Challenges: Fishing Gear Innovations
19 August 2020 12:00am
Challenge: ElephantEdge
11 August 2020 12:00am
Event: StreamingScience's #Tech4Wildlife Thursdays

3 August 2020 12:00am
Automated Fish Identification and Abundance Using Artificial Intelligence
28 July 2020 12:00am
BearID To Go
21 July 2020 12:00am
Competition: Cornell Birdcall Identification
8 July 2020 12:00am
Tech Tutors: How do I get started using ML for my camera traps? Building Accurate Project-Specific Models
25 June 2020 12:02am
25 June 2020 6:01pm
26 June 2020 2:32pm
Hi everyone!
We've now posted Sara's session to our youtube channel, and I've also popped it up the top of this thread.
The collaborative notes worked really well! I've now updated them to capture what happened in the chat - it should be a helpful companion to go alongside the recording. The notes have links, projects, and key discussions we saw in the chat, and summarise the questions Sara coverd in the discussion as well as the Qs we weren't able to get to (40mins overtime was our limit!). If your question was one of the outstanding ones and you'd like to have it answered, please drop it in the discussion below.
The notes now also have the participant check ins (such an awesome range of places, projects and interests!) - I'm sharing these as seeing what other people are doing might help you connect with each other. If you see someone you want to connect with, try and find them using our member direcyour people tab. If you can't, email Ellie and she will see if that person is happy to hear from you before connecting you.
Reminder, registration is open for Carlos' tutorial next week: How do I perform automated recordings of bird assemblages? Register here.
Thanks everyone!
Steph
2 July 2020 8:58pm
Great talk! I thoroughly enjoyed it. Some high schoolers have done small AI projects(s) and have interest in the wildlife.
What resources would you all suggest to further develop high schooler’s interest in AI?
How do I scale up acoustic surveys with Audiomoths?
25 June 2020 12:00am
23 June 2020 7:06pm
I think if you added it to your calendar through the registration button on the Rainforest XPrize site, it added the link to join to your calendar.