Dear colleague, I would like to invite you to the upcoming WiNoDa<https://winoda.de/en/english/> <https://winoda.de/en/english/> webinar “Leverage the growing wave of ecological data using AI image recognition”, taking place on December 2nd at 1pm (CET) on Zoom. [cid:6dc5db6b-37cc-4c40-9e17-06a00ed092cd] 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. Join the webinar with Timm Haucke<https://timm.haucke.xyz/> from MIT to learn how to apply AI carefully in your research. You will discover: * How to run and evaluate AI models on your own ecological data * How to reduce the impact of classification errors on your analyses * 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<https://winoda.de/en/event/webinar-ecological-data-ai-image-recognition/>. We hope to see you there! Kind regards, Ginevra Bellini ~~~ Dr. Ginevra Bellini (she/her_sie/ihr) Community Manager WiNoDa Knowledge Lab Email: ginevra.bellini@mfn.berlin<mailto:ginevra.bellini@mfn.berlin> Visit our webiste: https://winoda.de/en/english/ Follow us on LinkedIn: https://www.linkedin.com/company/winoda/ Follow us on Mastodon: https://nfdi.social/@WiNoDa View previous webinars on our YouTube channel: https://www.youtube.com/@WiNoDaKnowledgeLab Museum für Naturkunde Berlin Leibniz-Institut für Evolutions- und Biodiversitätsforschung Invalidenstraße 43 10115 Berlin | Germany [cid:image002.png@01DC3136.799D76F0]