Powerful conservation tech tools are gathering more data in the field than ever before. But without equally powerful and effective data management and processing tools, that data - no matter how groundbreaking or interesting - will not be able to reach its full potential for impact.
Data management can sometimes seem intimidating to conservationists, especially those just getting started in the world of conservation tech or experimenting with new data collection methods. While every community member's workflow and preferred data management and processing methods may be different, this group can serve as a resource to explore what works for others, share your own advice, and develop new strategies together.
Below are a few WILDLABS events dealing with datasets collected from various conservation tech tools:
Nicole Flores: How do I get started with Wildlife Insights?
Jamie Macaulay: How do I analyse large acoustic datasets using PAMGuard?
Sarah Davidson: Tools for Bio-logging Data in Conservation
Whatever conservation tech tools you work with, and whatever your preferred data management methods, we hope you'll find something helpful and effective in this group when you become a member!
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- @diego_lizcano
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Wildlife biologist interested in biodiversity monitoring and the conservation of mammals. Passionate photographer.
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TerrOïko
PhD Student in statistical ecology
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TerrOïko
R&D Engineer
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- @hjayanto
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Your friendly Indo-Crocky-Croc
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- @catwasp
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Ph.D Speech-Hearing Sciences; 3D Designer/Printer interested in building/testing/deploying standardized environmental recording platforms for scientists and engineers in developing countries.
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- @Durgananda
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Technical Specialist at FFI: loves data management, maps, remote sensing & GIS for conservation
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- @tobiaspetri
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Schäuffelhut Berger GmbH
data scientist/algorithmic dev - caught fire for movement ecology
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Article
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Hi Sol,If the maximum depth is 30m, it would be worth experimenting with HydroMoth in this application especially if the deployment time is short. As Matt says, the air-filed case... |
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Thank you Carly, I will definitely take a look. |
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Hi Michelle,
it would be good to get some more information on your project. What question are you trying to answer? How many cameras did you have deployed? How many different study sites/haul-out areas are there?
16 June 2023 6:35pm
Absolutely, I am happy to provide it. Our objectives are 1) to improve the understanding of local and seasonal haul-out patterns, and the numbers of seals hauled out during daylight hours; 2) to investigate any haul-out patterns in relation to environmental factors.
We had 10 different cameras set up at two different survey areas (8 at one location and 2 at another). We are studying the two survey areas separately. At one of the locations there are 8 different survey sites within the area where seals haul-out, at the other location, there are 2 different survey sites within the area.
So far we have completed 3 survey seasons as well.
Let me know if there is anything else I can provide!
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The Conservation Tech Directory might have some additional projects/tools of note.
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Hi Lev,
We always need more hands in conservation, from whichever field! Engineering, computer science, AI/ML, ecology, environmental science, communications, statisticians, etc.
I would say that conservation tech is moving heavily towards deep learning for data processing/analysis just because of the sheer amount of data being generated now, so it's always helpful if you have experience in that. But we still need ecological modeling (species distribution models, occupancy models, accumulation curves, etc.) to translate processed data into actionable conservation insights! So experience here too is a plus.
If you'd like to get a better idea of the diversity of programs, people, and orgs in conservation tech as you navigate your journey, the Conservation Tech Directory may also be a helpful resource for you.
All the best,
Carly