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From: Alison Major <[log in to unmask]>

***Apologies for any cross-posting***

UCL Press is delighted to announce a brand new publication that may be 
of interest to list subscribers: Consumer Data Research. Download free: 
https://goo.gl/fQoeS5

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Consumer Data Research
Paul Longley, James Cheshire and Alex Singleton
Download free: https://goo.gl/fQoeS5
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Big Data collected by customer-facing organisations – such as smartphone 
logs, store loyalty card transactions, smart travel tickets, social 
media posts, or smart energy meter readings – account for most of the 
data collected about citizens today. As a result, they are transforming 
the practice of social science. Consumer Big Data are distinct from 
conventional social science data not only in their volume, variety and 
velocity, but also in terms of their provenance and fitness for ever 
more research purposes. The contributors to this book, all from the 
Consumer Data Research Centre, provide a first consolidated statement of 
the enormous potential of consumer data research in the academic, 
commercial and government sectors – and a timely appraisal of the ways 
in which consumer data challenge scientific orthodoxies.

Download free: https://goo.gl/fQoeS5

About the authors
Paul Longley is Professor of Geographic Information Science at UCL where 
he also directs the ESRC Consumer Data Research Centre. His research 
interests are focused around socioeconomic applications of GIScience, in 
geo-temporal demographics, retailing, genealogy and urban modelling, 
latterly often using Big Data analytics.

James Cheshire is a Senior Lecturer in Quantitative Human Geography at 
UCL and Deputy Director of the ESRC Consumer Data Research Centre. His 
research focuses on the analysis and visualisation of new forms of 
geographically referenced population data for social science.

Alex Singleton is Professor of Geographic Information Science at the 
University of Liverpool and Deputy Director of the ESRC Consumer Data 
Research Centre. His research explores how the complexities of 
individual behaviours manifest spatially and the ways in which they can 
be represented and understood though a framework of geographic data science.

Download free: https://goo.gl/fQoeS5

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ucl.c.uk/ucl-press | @uclpress

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