Jakob Schwalb-Willmann just started his M.Sc. thesis titled “A deep learning movement prediction model using environmental data to identify movement anomalies”. He will combine animal movement and remote sensing data in order to develop a generic, data-driven DL-based model that predicts movements from movement history alongside environmental covariates in order to detect movement anomalies. He will establish simulated, controlled environments that allow precise adjustments of the model inputs to test the model’s feedbacks and its variability. It can be considered as a precursor study for the model’s deployment on real data and to only experimentally apply it on such due to the given constraints (time and content) of his M.Sc. thesis.
Mainpost reported on Stefan Dech’s Bavarian State Medal
We’re happy to see that Mainpost, our local newspaper, also reported on the Bavarian State Medal for Outstanding Services to the Environment. Stefan Dech received it on October 21 at the Munich Residenz, and Environment Minister Thorsten Glauber gave the laudatory...
