The paper “Data-driven analysis of fine-scale badger movement in the UK“, co-authored by Jessica Furber (Biosciences & Maths, Surrey), Richard J. Delahay (Animal and Plant Health Agency, UK), Ruth Cox (Animal and Plant Health Agency, UK), Rosie Woodroffe (Institute of Zoology, UK), Maria O’Hagan (Veterinary Epidemiology Unit, Belfast), Naratip Santitissadeekorn (Maths, Surrey), Stefan Klus (Heriot-Watt University), Giovanni Lo Iacono (Vet School, AI Institute, & Sustainability Institute, Surrey), Mark A. Chambers (Vet School & Biosciences, Surrey), and David J.B. Lloyd (Maths, Surrey), has been accepted for publication in PLOS Computational Biology. The paper analyses badger GPS data from 3 different locations in the UK using a Generalised Linear Mixed Model and Extended Dynamic Mode Decomposition to uncover their social home ranges from the data. This data and analysis is important for understanding badger ecology and for epidemiologicalmodelling. The final form preprint is available (link here). The image below shows Figure 2 from the paper.