Gladys Kenyon



Enrichment Student

Cohort year



Gladys is a second year Urban Analytics PhD researcher based in the Geographic Data Science Lab at the University of Liverpool. Gladys' research utilises machine learning and spatial analysis to explore house price variation in Southern Europe. During her time as an undergraduate studying Human Geography, she developed an interest in the use of data to understand spatial inequalities. In the future, she is keen to use data science for public good.

Research interests

Machine learning computer vision methods are enhancing our ability to research urban morphology. Gladys' Turing project uses image data to explore residential urban form and its relationship with house prices. A deep neural network will be used to score street view and outdoor images of houses in terms of neighbourhood desirability. The classification can then be used in a regression model to understand how the built environment shapes housing wealth.  Potentially, the research could be used to identify deprivation and measure inequality.