Emerging Tech | WILDLABS

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Technology is changing and evolving faster than ever, and as it does, our community members are looking for the next big thing to revolutionize their conservation tech work. To chat about your favorite new tools that are just emerging in the field and discover innovations you haven't yet heard of, join this group!

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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

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@Yuven

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@Japheth_Supeyo

Kenyan Nature and Wildlife photographer

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@mphamilton
| he/him

University of California

retired Field Station Director, very early adopter of conservation technologies

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@lloydmoyo2_aol_com
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Security and Conservation Data Management Officer for a private conservancy.

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@marusuffern
| She/her

Passionate and curious about nature and its diversity, I seek to learn more about conservation, new technologies, and the unknown and infinite environmental world.

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@VanessaS

I am a doctoral student located in Germany. My topic is 'AI applications for nature- and wildlife conservation'. Currently I am working on the automatized identification of individuals with fur-patterns. But I am always open for new ideas concerning AI for wildlife.

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@elinrainforest

GIS and Database Coordinator at the Rainforest Foundation UK

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@DuncanBrown
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Design Strategist - Regenerative Futures

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@ciwhite

Ecologist working on remote sensing of habitats.

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@BPL

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@vhau

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@lucchini.karen
| She/Her

PhD Student at the Post Graduate Programme in Animal Biology at Federal University of Pernambuco. Biologist at the National Centre of Research and Conservation of Aquatic Mammals (ICMBio/CMA).

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