Making Visualization Scalable (MAVIS)

Start date: 1 September 2023
End date: 31 August 2026
Funder: Engineering and Physical Sciences Research Council (EPSRC)
Value: £571,000
Partners and collaborators: 4-Xtra Ltd
Primary investigator: Professor Roy Ruddle
Co-investigators: Dr Nishant Ravikumar, Dr Leonid Bogachev
Co-investigators (additional Faculties): Mahdi Rezaei; - Institute for Transport Studies, Arjun Khara - School of Design,

The MAVIS project (full title “Making visualization scalable for explaining machine learning classification models”) aims to answer the key questions “how to improve visualizations?” and “how should people interact?” for the large/complex data that is commonplace in explainable AI. The team is very cross-disciplinary, including experts in visualization, machine learning, statistics, user evaluation and graphic design who are all part of the Leeds Institute for Data Analytics.