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Dear colleague,
I would like to invite you to the upcoming
WiNoDa webinar
“Leverage the growing wave of ecological data using AI image recognition”,
taking place on December 2nd at 1pm (CET) on Zoom.
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Camera traps and other autonomous sensors are generating more wildlife data than ever before. This has enormous potential to extract valuable information, but manually sorting
through such datasets is often too time- and resource-intensive.
Artificial Intelligence can speed up this work by automatically classifying large volumes of information in minutes. Yet AI is not perfect: miss-classifications can easily distort downstream ecological insights if not handled correctly.
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Join the webinar with
Timm Haucke from
MIT to learn how to apply AI carefully in your research. You will discover:
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How to run and evaluate AI models on your own ecological data
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How to reduce the impact of classification errors on your analyses
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A practical workflow for fitting species occupancy models using AI-generated labels from a real camera trap dataset
Designed for ecologists and biodiversity scientists seeking efficient and reliable ways to process sensor-derived data. Learn how to transform raw data into trustworthy ecological knowledge.
The event is free, in English and online.
Register here and secure your spot:
LINK.
We hope to see you there!
Kind regards,
Ginevra Bellini
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Dr. Ginevra Bellini (she/her_sie/ihr)
Community Manager
WiNoDa Knowledge Lab
Email: ginevra.bellini@mfn.berlin
Visit our webiste:
https://winoda.de/en/english/
Museum für Naturkunde Berlin
Leibniz-Institut für Evolutions- und Biodiversitätsforschung
Invalidenstraße 43
10115 Berlin | Germany
