Smart Data Analytics for Business and Local Government

Completed

Not Energy Related
Other Cross-Cutting Technologies or Research(Environmental, social and economic impacts)

Basic and strategic applied research

SOCIAL SCIENCES (Sociology)
PHYSICAL SCIENCES AND MATHEMATICS (Statistics and Operational Research)
PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics)
ENVIRONMENTAL SCIENCES (Earth Systems and Environmental Sciences)

Sociological economical and environmental impact of energy (Consumer attitudes and behaviour)

Professor V Sena
Essex Business School
University of Essex

Standard

ESRC

31 January 2014

30 January 2019

60 months

£4,924,784

London

Resources

Professor V Sena, Essex Business School, University of Essex

Professor J Coakley, Essex Business School, University of Essex
Professor M Fasli, Computing and Electronic Systems, University of Essex
Professor J Forder, Sch of Social Pol Sociology & Social Res, University of Kent
Professor R Hancock, Norwich Medical School, University of East Anglia
Professor H Laurie, Inst for Social and Economic Research, University of Essex
Professor AA Lovett, Environmental Sciences, University of East Anglia

Project Contact, Essex County Council
Project Contact, South East Local Enterprise Partnership
Project Contact, Aviva Plc
Project Contact, Kent County Council
Project Contact, British Telecommunications Plc (BT)
Project Contact, Lloyds Banking Group
Project Contact, Experian
Project Contact, Norfolk County Council
Project Contact, Medway Council
Project Contact, Norfolk Constabulary

We are living in an era of Big data with the rapid technological developments in information technologies and communications providing an unprecedented amount of data and new forms of data. Big data is now an integral part of our daily lives and are routinely produced by local government and business. In these settings, data production is just a by-product of the activities local government or business are involved in: most often, this information is collected for a specific purpose but very little use is made of these data-sets beyond the original purpose they were designed for. The challenge is how we can make better use of these types of information to improve our quality of life and foster economic growth. If combined together, these datasets can provide valuable information and insights into how businesses and local authorities work, the ways in which improvements to services can be made or businesses become more successful and efficient in their operation. Big data can provide local authorities and businesses additional information which can help them to design better policies and improve their business operations.To date, very little data of this type has been available for social scientific research in a systematic way. The aim of the new Smart Data Analytics (SDA) for Business and Local Government research centre is to utilise this explosion of information for social scientific research to answer questions that affect all our lives. For example, in an era of austerity and belt-tightening for local authorities, how can they make best use of limited resources to deliver the highest quality service to residents including across health and social care provision, education, crime reduction, housing and transport? By using data sources collected by local authorities for their administrative purposes we can start to unravel some of these questions and make relevant and timely policy recommendations. We have partnered with three local councils in Kent, Essex and Norfolk who are keen to work with academic researchers to learn from the information they hold to improve their service delivery but at present do not fully utilise. We have also partnered with businesses who wish to understand how we can foster and support economic growth, particularly for small and medium enterprises and start-ups. What are the barriers these businesses face and how can Big data help us understand the best means of overcoming these? The SDA will establish a secure data facility at the University of Essex where Big data from a variety of sources are stored and matched so to produce new information which can be useful to both local authorities and businesses. At the same time, the facility will give researchers, local authorities and businesses a point of access to Big data and expertise and support in using those data. There are clearly many issues of data privacy and confidentiality to be considered and the Centre will develop safe methods of handling, anonymising and linking data to ensure the confidentiality of businesses and individuals is maintained and respected. The Centre will also carry out research into how Big data can best be analysed as some of the methods used for more standard forms of data such as social surveys may not apply. We have an innovative substantive research programme articulated in a set of research streams designed to focus on key policy issues: (i) Methodological advances in Big Data analysis; (ii) Local economic growth, (iii) Support for vulnerable people; and (iv) the Green Infrastructure. The Centre will also provide training and support to new researchers, businesses and local authorities and engage actively with both businesses and local authorities through tailored knowledge exchange activities which will draw on the expertise built in the Centre. The new Centre promises to be an exciting development that will not only advance knowledge but have a positive impact on our quality of life

01/05/14