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School of Geography

Thomas Waddington Thomas Waddington

Contact details

Room 10.18 Miall Building
School of Geography
University of Leeds
University Road
Leeds LS2 9JT   UK

Email:
gy14tbpw

Telephone:
tbc

Project title

Modelling Temporal Variations Of Consumer Demand In The UK Grocery Sector 

Project overview

The emergence of a wealth of Big Data from pervasive web enabled technologies, social media, sensors, consumer transactions and other sources has created the opportunity to generate new services for the benefit of consumers, the travelling public, service providers, business and policy makers. This research project will focus on the challenge of optimising the design (and maximising the added value) of these new services by applying new analytic and mixed-method social science approaches with multiple, cross-sectoral Big Data.

Expected to focus in one or more of the following areas: the usefulness of a variety of user-generated content (arising from mobile phone data, social media and other sources) to retailers or local government for optimising the design and implementation of location based services; the enhancement and calibration of location models or mobility profiles with respect to retail and consumer needs; the development of new, secure and ethical business models for retailers and other users of location data; the role of Big Data in creating efficient, personalised and secure retail services for consumers; developing targeted and tailored business interfaces with Big Data.

Supervisor(s)

Short Curriculum Vitae

Currently working towards my PhD in Geography at the University of Leeds, supervised by Graham Clarke, Martin Clarke and Susan Grant-Muller. I previously attended the University of Northumbria where I studied a BSc in Geography and a MSc in Disaster Management and Sustainable Development. After completion of my MSc I worked at the Institute and Snow and Avalanche Research in Davos, Switzerland mapping and programming avalanche release zones in ArcGIS.

Skills

Spatial Analysis, Geographical Information Systems, Python programming.