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UK funding (£1,261,204): CDRC Ukri 14 Feb 2019 UK Research and Innovation, United Kingdom

Overview

Text

CDRC

Abstract Describe the proposed research in simple terms in a way that could be publicised to a general audience (up to 4000 chars) Social science is concerned with understanding human behaviour patterns. These patterns are increasingly revealed through data which are captured by retailers and other commercial organisations. Example sources of these data include store loyalty cards, smart energy meters, mobile telephone logs, vehicle registrations and smart tickets for trains and buses. The data are not just interesting to academics, they can provide important insights for delivering health care, building houses or roads, and producing sustainable goods and services with reduced environmental impact. This project seeks to develop new approaches to social science research which are needed to exploit new sources of consumer data. The ethical use of data for the public good and protecting the privacy, confidentiality and personal rights of individual consumers is of paramount importance. This research is different for a number of reasons, for example, because activities can be examined continuously and in real time. In the past, a social scientist might have studied 'typical' commuting flows from a residence to a workplace. Now it is much easier to look at multi-purpose activities or trip-chaining in a single day e.g. delivering children to school, going to work, visiting the gym, having a coffee and doing the shopping before returning home. It requires new methods from artificial intelligence and data science which the project will help to develop. These methods are recognised by governments and business as crucial to future well-being and economic prosperity because data are now so widespread and their content is so revealing. The outcomes from the project will include novel publications appearing in the scientific literature, but the research will also help businesses and government to plan more effectively, and it will train the next generation of students and research professionals in the applications and analysis of new and emerging forms of data.
Category Research Grant
Reference ES/S007164/1
Status Closed
Funded period start 14/02/2019
Funded period end 13/02/2024
Funded value £1,261,204.00
Source https://gtr.ukri.org/projects?ref=ES%2FS007164%2F1

Participating Organisations

University of Leeds
OFFICE FOR NATIONAL STATISTICS
IBM
University of Aberdeen
The Food Foundation
Sainsbury's
Transport Systems Catapult
Rolls Royce Group Plc
Statistics Norway
Federal Technological University of Paraná
Iotics
ARUP Group
South West Water Ltd
First Group
O2 Telefonica Europe plc
Morrison Supermarkets plc
Voi Technology
Chinese University of Hong Kong
United Nations (UN)
Newcastle University
IMPERIAL COLLEGE LONDON
LEEDS TEACHING HOSPITALS NHS TRUST
The Co-operative Group Ltd
University College London
BRADFORD METROPOLITAN DISTRICT COUNCIL
UNIVERSITY OF OXFORD
Google
University of Bristol
Alan Turing Institute
BIRMINGHAM CITY COUNCIL
The Royal Society
AirDNA
Institute of Grocery Distribution
University of Exeter
National University of Singapore
Compass
Open Data Institute
Telefonica S.A
University of Cambridge
Improbable
Centre for Applied Education Research
Addfree Cities
UNIVERSITY OF MANCHESTER
Mastercard UK
Bradford Institute for Health Research (BIHR)
Raspberry Pi Foundation
Procter & Gamble
University of Southern California
Cardiff University
Consumer Data Research Centre (CDRC)
University of Plymouth
Elder Research
Vietnam National University
GS1 UK
University of Southampton
World Health Organization (WHO)
London School of Economics and Political Science (University of London)
WhytHawk
University of Sheffield
Iseal Alliance
Which?
Whitespace
Sciteb
Cuebiq
Department For Environment, Food And Rural Affairs (DEFRA)
LEEDS CITY COUNCIL
YouGov
Sustain (food and farming alliance)
University of Florida
European University Institute
World Health Organization Regional Office for Europe
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