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Runner Up

University of Leeds

Christopher Drowley,
University of Leeds, BA Geography

“Dementia in England: A Spatial Index to Quantify Potentially Modifiable Risk”

  • This work concerned with the growing public health issue of dementia in the UK
  • Over a third of dementia cases may be prevented if various risk factors are addressed at the individual, clinical, and population level
  • The research sought to understand these risk factors and hence quantify ‘dementia risk’ at the small-area level ‘Index of Modifiable Dementia Risk’ was created and mapped across UK
  • Judges: A very timely and replicable piece of research that addresses a huge concern, not just in the UK. An innovative approach is taken with many possible policy implications.

Masters Award

Winner

Chengru Deng,
University College London, MSc Smart Cities and Urban Analytics

“A Prediction of Shop Value Based on Changes in London Tube and Rail Stations using Machine Learning Algorithms”

  • This research focused on transit-orientated development and specifically estimating likely property prices
  • The study aimed to predict shop/retail property sale prices and rateable values based on changes (accessibility) in tube and rail station provision in London.
  • Boarder effects of stations on retail was measured, mainly through accessibility to employment in London (using Hansen approach)
  • The work also made use of various machine learning algorithms throughout (OLS/RF/ANN)
  • Judges: This is a technically sound piece of research that explores a topic closely aligned to SLA interests. The approach is bespoke and sophisticated.