Institutional Research Information Service
UCL Logo
Please report any queries concerning the funding data grouped in the sections named "Externally Awarded" or "Internally Disbursed" (shown on the profile page) to your Research Finance Administrator. Your can find your Research Finance Administrator at https://www.ucl.ac.uk/finance/research/rs-contacts.php by entering your department
Please report any queries concerning the student data shown on the profile page to:

Email: portico-services@ucl.ac.uk

Help Desk: http://www.ucl.ac.uk/ras/portico/helpdesk
 More search options
Dr Guy Lansley
Pearson Building
Gower Street
  • Senior Research Fellow
  • Dept of Geography
  • Faculty of S&HS

Guy Lansley is a Senior Research Fellow at the Consumer Data Research Centre (CDRC), based at the Department of Geography, UCL. His main academic interests are geodemographics and demographic data, and how representative traits can be derived from consumer datasets. He is also a data scientist for the CDRC data service.
Guy is currently researching information which can be generated from the wealth of ‘big' consumer data sets created from various different sectors. Notable contributions so far have included modelling demographic characteristics from person names using market data and administrative records, and measuring socio-economic inequalities in car model ownership in collaboration with the DVLA. Guy also works closely with open data. His previous research at UCL has focused on the utility of georeferenced social media data to retailers and marketers. This has included modelling real-time behavioural patterns from Twitter data and enhancing advanced textual topic modelling techniques to classify social media posts. 

Prior to joining the CDRC, Guy was a Teaching Fellow in population geography at UCL and he still engages in teaching undergraduate and postgraduate students within the Department of Geography today. He is also currently a key organiser of the current CDRC Retail Research Masters Dissertations Competition, having himself been an entrant in the competition during its first year.

Research Summary

Guy’s current research focuses on exploring and harnessing information gained from three types of data sources pertaining to the population.

Consumer Data

As a part of the Consumer Data Research Data, Guy’s primary interest is in data on British consumers produced through a range of mediums such as credit card databases, store records, and also administrative data. Notable examples of research have included modelling the characteristics of forenames using market data and examining variations in car ownership using registration records provided by the DVLA.

Social Media Data

Guy also conducts research into social media activity. Primarily an analyst of geo-tagged Tweets, Guy has analysed variances in Twitter use across time and space within the UK to evaluate the utility of the dataset to urban planners. His most recent research has entailed topic modelling Tweets from London to produce a Twitter classification to understand how behaviour on the social network vary by space, time and also by the users’ characteristics.

Open Data

Guy is also an advocate of open data. He has conducted several research projects at UCL which sought to establish new information about the UK population derived exclusively from open datasets.

Teaching Summary

Undergraduate courses

GEOG1003: Data Acquisition and Interpretation

GEOG3054: Independent Study

GEOG3040: Undergraduate Dissertation

Postgraduate courses

GEOGG099: MSc Dissertation

17-JUN-2014 Research Associate Department of Geography UCL, United Kingdom
22-SEP-2012 – 17-JUN-2014 Teaching Fellow Department of Geography UCL, United Kingdom
Academic Background
2012 MSc (Hons) Master of Science (Honours) – Geographical Information Systems University of Leeds
2011 BA Hons Bachelor of Arts (Honours) – Geography University of Sheffield
Please report any queries concerning the data shown on this page to https://www.ucl.ac.uk/hr/helpdesk/helpdesk_web_form.php
University College London - Gower Street - London - WC1E 6BT Tel:+44 (0)20 7679 2000

© UCL 1999–2011

Search by