Research IT has recently been involved in an exciting new use case which aimed to help people with a chronic lung disease self-report the impact of their symptoms on their wellbeing and to view their data.

Traditionally the first step in interpreting video is to code it into a form that can be analysed systematically. The coding process is currently performed manually, and it can be slow and difficult, and biased by subjectivity. David Mawdsley (Research IT) recently presented a poster at the first “Advances in Data Science” conference explaining how we are helping Dr Caroline Jay’s group develop a way to quickly code human behaviours allowing the rapid analysis of hours of video.

Two members of Research IT are co-authors on a recently published paper in BMC Ecology. The paper describes the development and implementation of "BioVeL" - a virtual laboratory for data analysis and modelling in biodiversity science and ecology.