Ten years ago, we couldn't have imagined how tools like machine learning, eDNA, and satellites would advance and transform conservation work. Now technology is advancing faster than ever, and as tools become smaller, lighter, and more affordable, it's vital to have a space where community members can discuss the next big thing, share ideas, compare tool options, and tell the story of their experiences - positive, negative, and anything in between - while using new technologies.
In 2021, the WILDLABS State of Conservation Tech report detailed what tools show the most promise according to community members, as well as what tools are currently seen as the most effective. And as new tools enter the field, we're excited to see how this data will change over time, and how this group grows over time as well.
Our State of Conservation Tech research also discusses something called the "Hype Cycle" - the pattern that occurs when a new technology bursts onto the scene, promises to be an exciting solution, encounters challenges as new users adopt the tool and put it into practice beyond just theory, and eventually settles into its most effective state as users acquire the right skills to use it to its actual potential. Machine learning, one of the most promising technologies, is currently in the middle of its own hype cycle, and we see community members working through their own hurdles to incorporate ML into their work effectively. Despite what you may think, this Hype Cycle can also be positive for tech development, as it means that users have big ideas for new tools, and with the right resources and skills, they can work toward bringing those ideas to life. And as our community members experiences the Hype Cycle for various tools at their own paces, we hope this group will also serve as a place to discuss that process and overcome hurdles together.
Ready to discover new possibilities? Join our Emerging Tech group now and get to know your forward-thinking conservation tech peers!
Header photo: Internet of Elephants
No showcases have been added to this group yet.
- @nickschurch
- | Dr
Principal Statistician for Ecology and Environmental Science with Biomathematics and Statistics Scotland.
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- 7 Groups
Zoological Society London (ZSL)
Water-landing fixed-wing drones in marine ecology and maritime surveillance in MPAs and beyond.
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Stanford University
Doctoral Research at Stanford University | Interested in data science and observational approaches for issues in coastal health
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Wildlife Conservation Society (WCS)
Video producer, videographer and editor for the Wildlife Conservation Society (WCS)
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- @patrick
- | He/Him
Space signal processing engineer by day, environmental data analyst by night.
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Conservation Newbie, Technologist, Applications Developer, Hardware Tinkerer



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- 17 Discussions
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- @Alex_Tytgat
- | He/him
Junior machine learning engineer with a background in data science and physics
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- 20 Groups
I am a behavioural ecologist using animal tracking technologies to investigate the impacts of anthropogenic change
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- 10 Groups
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Description | Activity | Replies | Groups | Updated |
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Hi Nikita, If you haven't already, I'd recommend reaching out to the folks at the Cornell Ornithology lab. They're really glued into all things bird. In particular, I... |
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Animal Movement, Drones, Emerging Tech, Human-Wildlife Coexistence | 4 months 3 weeks ago | |
Hi Dan, Not right now but I can envision many uses. A key problem in RS is data streams for validation and training of ML models, its really not yet a solved problem. Any... |
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Emerging Tech, AI for Conservation, Animal Movement, Build Your Own Data Logger Community, Camera Traps, Connectivity, Conservation Tech Training and Education, Data management and processing tools, Geospatial, Sensors | 5 months 3 weeks ago | |
Hey Wildlabers,Our group aims to create a low-cost hydrophone for research, education and citizen science. We are soon to build our first... |
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Conservation Tech Training and Education, Emerging Tech, Software Development | 6 months 1 week ago | |
@HeinrichS there’s still time for you or anyone else to make a funding submission to the wildlabs 2025 grants ❤️❤️❤️I haven't applied for wildlabs funding, but I would love for... |
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Human-Wildlife Coexistence, AI for Conservation, Camera Traps, Emerging Tech | 7 months ago | |
Steve and I are looking to develop a low-cost benthic drift camera with a live video feed. Our hope is to use an acoustic modem to give us a low quality feed for navigation /... |
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Marine Conservation, Build Your Own Data Logger Community, Connectivity, Emerging Tech, Open Source Solutions | 7 months 4 weeks ago | |
Bird Monitoring Data Exchange is a standard often used for birds data. |
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AI for Conservation, Data management and processing tools, Emerging Tech | 8 months 2 weeks ago | |
Hats off to your team for this absolute game-changing technology! We rescue stray and wild animals in Taiwan, and the bulk of our work is saving animals maimed by wire snares... |
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AI for Conservation, Drones, Emerging Tech, Human-Wildlife Coexistence, Wildlife Crime | 8 months 3 weeks ago | |
No problem at all Yu (@JY) and good luck with your studies! Happy to discuss this and any other ideas any time.All the best,Rob |
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Sensors, Animal Movement, Connectivity, Drones, Open Source Solutions, Emerging Tech | 9 months 2 weeks ago | |
I've been trying to build a a framework that would then allow for the integration of technological advancements, AI and all, in a manner... |
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Emerging Tech | 9 months 3 weeks ago | |
Jared's answer is excellent IMHO. One level down, you have a couple of options. One is to charge for the convenience of buying a finished, assembled, and tested product, that's... |
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Emerging Tech, Funding and Finance, Open Source Solutions | 10 months ago | |
Odor based methods would be interesting. Provided they didn't need to be replenished too often.We find varied stimulus prevents habituation. |
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AI for Conservation, Conservation Tech Training and Education, Emerging Tech, Human-Wildlife Coexistence | 10 months 3 weeks ago | |
I found this interesting |
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AI for Conservation, Emerging Tech | 1 year ago |