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CDRC launches ESRC Innovation Fund

The Consumer Data Research Centre is pleased to invite proposals from UK-based academics for projects that will capitalise on our core consumer data sets, extend our network of partners, and drive forward substantive and innovative social science research across a broad range of disciplines and research areas.

We welcome proposals that would contribute to our existing CDRC research themes, as well as extensions into other research areas of strategic significance, including those aligned with the ESRC’s priorities in:

  • Mental Health
  • Housing
  • Productivity
  • Understanding the Macro-Economy
  • Ways of Being in a Digital Age

The Centre is looking to fund in the region of 8-10 projects, each valued at between £20,000-60,000 (100% fEC).  Projects will run from early October 2017 and must be completed no later than the end of September 2018.

Further information is available at: https://www.cdrc.ac.uk/research/innovation_fund/

Have the young returned to the polls?

Interested in using data for Social Sciences research?  We are currently looking to fund up to twelve projects (£25-50K) across an extensive range of disciplines and research areas – Find out more.

Young people need to vote. They need to get out there. Every vote counts. Educate yourself too. Don’t just vote. Know what you’re voting for, and stand by that.” Nikki Reed, American Actress

One of the oft cited phenomena from the recent 2017 United Kingdom General election has been the rise in the participation by the young in the electoral process. Factors that point to this are an increase in voter registration by the young, greater turnout to vote by the young and an increase in the Labour vote share – since the young have a tendency to vote Labour. This piece addresses the first of these issues, the increase in voter registration and examines whether this can be tied to specific features of the population.

National Picture

Information on the number of registered voters is published at General elections and annually, in December. Those eligible to register to vote in UK General elections are those who are 18 years of age or over on polling day, who are a British, Irish or qualifying Commonwealth citizen and they must be resident at an address in the UK (or a UK citizen living abroad who has been registered to vote in the UK in the last 15 years). EU nationals (that are not Irish or Commonwealth citizens) are not eligible to vote, nor are members of the House of Lords or prisoners.

The summary counts for the number of registered voters in Westminster Parliamentary elections is given here:

Country 5th May 2015 (GE)[1] 1st December 2015[2] 1st December 20162 8th June 2017 (GE)[3] Increase

GE to GE

Growth index
England 38,736,146 37,399,942 38,386,864 39,297,181 561,035 (101.4)
Wales 2,281,754 2,181,841 2,243,919 2,298,161 16,407 (100.7)
Scotland 4,099,532 3,896,852 3,929,963 3,988,441 -111,091 (97.3)
Northern Ireland 1,236,765 1,243,369 1,205,683 1,242,698 5,933 (100.5)
Total 46,354,197 44,722,004 45,766,429 46,826,481 472,284 (101.0)

 

These figures show that following the General election on the 5th May 2015 the size of the electoral register shrunk considerably when counted later that same year. The prospect of no General election for another five years may have provided no motivation for people to maintain their registration. A year later in December 2016, the size had increased (thanks to the intervening European Union membership referendum held on the 23rd June 2016), but it did not recover to the levels seen on the 5th May the previous year. By the time of the recent General election however the size of the register had increased, only modestly, by just 1.0%. But this story of modest increases is not uniform across the UK.

The strongest growth was seen in England with a 1.4% increase whilst in Scotland there was an actual decrease of 2.7%. Ideally, these growths should be put in the context of growth in the national population aged 18 and older, however this would require access to population counts that only covered those eligible to vote, most specifically one that excluded many EU nationals. These counts are not readily available.

Local Picture

These national patterns are apparent when seen on a map. Here the index of growth or decline is shown as a geographic map of Westminster Parliamentary constituencies (WPCs) and as a cartogram. The warmer colours, yellow, orange and red signify an increase in the electorate, whilst the cooler colours of green and blue signify a decrease. These maps clearly identify the differences in the growth within the UK, with only a few WPCs in Scotland showing a growth.

The explanation for this in Scotland might be due to their recent Independence referendum. In Scotland the 2015 General election was run very soon after the 18th September 2014 Independence referendum. The referendum generated a great deal of interest in voting which would have contributed to a subsequent high registration for the 2015 General election. This high level of registration was not maintained to the 2017 General election, causing the apparent decline. Otherwise, hot spots of growth are apparent in Northern England and the South West of England.

Detailed Picture

Thoughts then turn to ask if these local increases in voter registration can be explained by something about the nature of the WPC. Specifically there has been talk in the media that this has been driven by variously: the number of young people in the WPC (aged 18 to 24); the number of students; or the number of young graduates[4]. All these potential factors are characterised by the youth of the population of interest. Unfortunately at registration, no information on the age of the individual is captured (unless they are due to ‘attain’ the age of 18 within the year) so directly investigating these suppositions is impossible. Nevertheless, in what follows, tables and simple scatter diagrams are used to try and tease out any such relationships using secondary data. Firstly population counts are used. However, recent estimates of the population in each WPC, by single year of age, are not consistently available. Here estimates for the 2015 population are used in England and Wales, estimates from 2014 are used in Scotland and estimates from the 2016 used in Northern Ireland. Secondly, the more detailed 2011 census counts are used to provide information on the number of students in each WPC and also the number of highly qualified young graduates in each WPC.

The top 20

The table below list the 20 WPCs with the largest growths in electorate along with these characteristics. Surprisingly the WPC with the largest growth is not a WPC that could be characterised as young or student focused – it is relative new, having been created in 2010 and has returned a Conservative MP with a comfortable majority at all elections. The following five WPCs do however have a predominantly young, well-educated and student population, helping to substantiate the ideas that it is such populations that positively influenced registration. Elsewhere in the top 10, Sheffield Central stands out as another WPC where registrations might have been driven by young students (but notice that the ‘stellar’ proportions seen here for this WPC did not feed through to a ‘stellar’ growth in registrations). So looking at this, the evidence is quite mixed as to whether a young, informed and educated population is driving the increased registration.

Name Growth

GE to GE

Aged 18 to 24 Students Aged 16 to 24 Graduates
Bridgwater and West Somerset 1.109 7% 6% 1%
Leeds North West 1.100 25% 29% 5%
Leeds Central 1.095 24% 25% 5%
Lancaster and Fleetwood 1.084 19% 22% 3%
Colchester 1.078 12% 12% 2%
Liverpool, Riverside 1.078 27% 31% 5%
East Devon 1.076 7% 6% 1%
Sittingbourne and Sheppey 1.075 8% 6% 1%
Sheffield Central 1.072 32% 38% 7%
Rochester and Strood 1.072 10% 8% 2%
Mid Bedfordshire 1.072 7% 8% 2%
Hyndburn 1.070 8% 7% 1%
Lewisham, Deptford 1.069 10% 15% 4%
Wellingborough 1.066 7% 6% 1%
Bradford West 1.066 13% 17% 3%
Bradford East 1.065 9% 10% 2%
Bradford South 1.064 8% 8% 1%
Poplar and Limehouse 1.064 10% 13% 6%
Crewe and Nantwich 1.064 9% 9% 2%
Chatham and Aylesford 1.061 9% 7% 1%

 

More broadly …

Looking outside this top 20 for further support shows that the picture is far from clear. The first scatter plot below is those who are aged 18 to 24, as a share of the population, on the x axis and the growth/decline in registration on the y-axis.

This plot is characterised by a dense ‘ball’ of observations with a scattering of observations to the right. Other than this, there appears to be little structure to this figure to help us understand how the youthfulness of a WPC influences the growth or decline in registrations.

Scatter plots of the proportionate size of the student population and the younger graduate population shows a similar lack of overall structure (note here that a level 4 qualification includes degrees and professional and higher vocational qualifications).

Educated guesses

In trying to understand the variation in voter registration between the two most recent General elections there is clearly a broad geographic pattern, with the Scottish WPCs showing a distinct decline in registrations, Northern Ireland a slight increase and a mixed pattern in England and Wales.

Differences explainable by issues such as history or demography are harder to find. Undoubtedly there are instances of WPCs where it is reasonable to assume that the increase in voter registration is driven by the specific characteristics of the WPCs, particularly in regards to the relative youth of a population. This is evident in the second table of WPCs, growths and population shares. However, this cannot be the complete picture. In the same table, and more widely in the scatter plots, there are instances of WPCs with high growths in turnout that are not youthful. There are also very youthful WPCs where the growth in registration is no way as high as would be expected. So, whilst the youthful population contributed in some WPCs, there are other WPCs where its impact was not felt and still others where the growth in registration came from other factors.

In terms of electoral impact, the registration is just the first stage, voters need to turn up to vote and to cast their vote for their party[5]. There is undoubtedly scope for an examination of the youth vote on turnout and party affiliations.

About the author

Stephen Clark works as a Research Fellow in the Consumer Data Research Data, based at Leeds Institute for Data Analytics. He has worked in the academic, public and private sector, mainly in the field of transport planning. After gaining his PhD in health forecasting he has worked on a variety of projects including: demographic modelling, utilities demand forecasting, consumer data research and understanding political sentiment.

Feature image by secretlondon123 from the Londonist Flickr pool.

[1] General Election 2015 http://researchbriefings.parliament.uk/ResearchBriefing/Summary/CBP-7186

[2] Electoral Statistics for the UK https://www.ons.gov.uk/peoplepopulationandcommunity/elections/electoralregistration/datasets/electoralstatisticsforuk

[3] General Election 2017 : results and analysis http://researchbriefings.parliament.uk/ResearchBriefing/Summary/CBP-7979

[4] Voter registration soars among students with 55% backing Labour https://www.theguardian.com/politics/2017/may/04/voter-registration-soars-students-backing-labour-corbyn-general-election

[5] ‘Youthquake’ behind Labour election surge divides generations https://www.theguardian.com/politics/2017/jun/20/youthquake-behind-labour-election-surge-divides-generations

 

Understanding Household Mobility – Nik Lomax

Why do we need to understand household mobility?

People move home for all kinds of reasons: to take up a new job, to up-size when they have a child or down-size when they retire, and after some kind of family event like marriage or divorce. Understanding these patterns of household mobility is extremely important for resource allocation and policy decisions: households need roads, parks and bin collections, children need school places, and everyone needs health service provision.

Mobility patterns also impact upon less tangible but equally important elements of our society: having strong community cohesion and a sense of place are important for everyone. When households move, they change the size and composition of the population in local areas. For example, a retired couple selling their house to a family with two children creates demand for additional school places but also changes the demographic composition of the area, severing established community bonds and forging new ones.

Internal migration is the process which delivers the most substantial change in population at a local level, results from the 2011 Census of Population reveal that ten times more people moved within than immigrated from outside the UK: 6.8 million people made an internal move in the year to March 27, 2011. Internal migration patterns are a crucial component in sub-national population projections which inform forward looking policy. We need timely data which provides good coverage to understand mobility patterns.

Isn’t there a register of migration?

There are several sources of data which report migration within the UK, but no single register like, for example, the one in place in Sweden. The most comprehensive (with the largest coverage) is the Census of Population, which askes for information on where every individual lived twelve months ago. These data are extremely valuable, but have limitations:

  • they are only available once every ten years;
  • data are not released for a substantial period of time after the census is completed;
  • data are released at pre-defined administrative boundaries (the smallest being Output Area);
  • they only capture transitions for a single year – the question asks ‘where were you living one year ago’ – so multiple movements that people make during the year are not recorded.

There is debate around the future of the conventional census, given the cost of administering the survey (estimated at £480m[1] for 2011) and the current political agenda for austerity.

Official estimates of migration, released annually, are produced using administrative data from the National Health Service. When an individual informs their GP that they have changed their address the migration record is updated accordingly. Again, this is a hugely valuable resource but problems with these data include:

  • under reporting, especially amongst certain groups (e.g. young men who don’t regularly visit their GP);
  • geography, as the most detailed spatial units available are local authorities;
  • timeliness as the data are only released once per year;
  • the data only report one year transitions.

Other administrative data exist, for example the Higher Education Statistics Agency data used to improve estimates of student migration in the official statistics. These administrative data cover sub-groups of the population, and are not inherently intended for the measurement of migration.

The third option is the use of commercial or Big Data resources. Some work has been undertaken previously on these emerging forms of data and their utility for migration research. For example, work by Dr Michael Thomas and Professor John Stillwell uses a commercial survey called Acxiom to assess patterns of movement and distances travelled for the population sample. But, to date, work on demonstrating the utility of commercial data as a viable alternative to census or admin data, is fairly limited.

This is why the opportunity to use a large scale commercial dataset, as presented in this series, is so exciting. Commercial data has the potential to enrich our understanding, but we are not yet at a stage where it can be relied upon as the only source of information.

 

Accessing property and migration data

The Consumer Data Research Centre has partnered with online property search provider Zoopla and data insight consultancy Whenfresh to obtain data about the characteristics of properties which have been sold in England and Wales. For the 2014 calendar year, there were over 900k unique property transactions.

This data is available to researchers via the CDRC Secure Service:

View WhenFresh/Zoopla Property Rentals and Associated Migration Metadata

View Property Transactions and Associated Migration Metadata

[1] http://www.ons.gov.uk/ons/guide-method/census/2011/census-data/faq/2011-census–frequently-asked-questions.pdf

About the author

Dr Nik Lomax is a University Academic Fellow at the University of Leeds, his research focuses on the way in which demographic behaviour changes over time and how people interact with the areas in which they live and work. Much of his work focuses on the dynamic processes involved in migration but he is also interested in the social implications of changing demographic composition: household formation, social exclusion and population ageing for example. Areas are shaped by changing economic conditions, policy interventions and social attitudes, which in turn has an impact on demographic behaviour. Modelling and explaining these complex interaction is key to the work which he does.

Dr James Cheshire wins the prestigious Royal Geographical Society Cuthbert Peek Award!

The Royal Geographical Society’s medals and awards “recognise extraordinary achievement in geographical research, fieldwork and teaching, photography and public engagement.” CDRC Deputy Director James Cheshire was among 17 recipients this year, winning the Cuthbert Peek Award ‘for advancing geographical knowledge through the use of mappable Big Data’.

Congratulations James!

CDRC Data Partner Forum 2017 – Presentations Available

On Thursday 25 May 2017 the Consumer Data Research Centre hosted its annual Data Partner Forum at the Leeds Institute for Data Analytics.

The aim of the event was to bring together existing and potential data partners along with interested academics to discuss current and future research opportunities. Led by CDRC Directors, Professor Mark Birkin and Professor Paul Longley, the event had an excellent mix of attendees from both consumer related organisations and academia.

The programme included presentation sessions on ‘Business Analytics’ and ‘Cities’, as well as a poster session, breakout discussions and a concluding panel session.  The main sessions included short presentations by a number of our researchers discussing the ways in which they are utilising consumer related data to better understand and explain patterns of social behaviour.  A number of the presentations are now available to view and download:

Energy

The geography of domestic energy consumption – Anastasia Ushakova (UCL) and Ellen Talbot (University of Liverpool)

Transport

The propensity to cycle tool: from conception in the clouds to implementation on the ground – Robin Lovelace (University of Leeds)

Using Travel Smartcards to understand trends in concessionary travel in the West Midlands – Jens Kandt (UCL)

Mobility

Quantifying the ambient population – Nick Malleson (University of Leeds)

Smart Street Sensor Project – Roberto Murcio (UCL)

Health

The role of big data in health research: a case study of obesity – Michelle Morris (University of Leeds)

Should you be interested in attending the event next year, or wish to discuss ways in which your organisation can engage with the CDRC, please contact Paul Evans.

 

What is research impact and why is it so important?

Rachel Oldroyd, UK Data Service Data Impact Fellow and Quantitative Human Geographer at the University of Leeds, shares her perspective on research impact.

Impact – a word that is used so frequently in academic and non-academic circles alike, but what is it and why is it so important? With so many definitions, the meaning varies greatly across institutions and disciplines, but there seems to be a certain agreement around one broad definition. Impact is the effect that research has beyond academia. Whether that’s how the understanding of a complex social theory affects policy and improves community life, or how a newly developed vaccine reduces the spread of disease among a population. Impact is certainly not a new concept, however its incorporation into the 2020 Research Excellence Framework (REF) has initiated a shift away from pure research excellence towards a focus on research dissemination and the effect on wider society.

Certain channels of dissemination are frequently used by academics; presenting at national and international conferences, publishing in academic journals and delivering research group seminars. Early career researchers soon realise that these activities are not really optional, participation is encouraged and expected during the life course of a PhD and beyond. But these activities are often not enough to create tangible impact. They have limited reach, restricted to academic audiences. So what can early career researchers do to increase the impact of their research and engage non-academic audiences?

I’m certainly no expert on the topic, I started a part-time PhD just over 18 months ago having spent three years as a teaching fellow at the University of Leeds. Impact was a term I heard frequently in research discussions and meetings, but as I was based in a teaching focussed role, it wasn’t something I had given much thought. However, as I started my research around foodborne illness, I realised the project had potential to make a difference and I began to think about ways in which I could develop impact. I started to identify people that would be affected and the ways in which the findings would be important. I believe identifying key stakeholders at an early stage is an important step in developing an impact journey. Key parties can not only help to disseminate the research beyond academic audiences but they can also provide valuable feedback regarding the research itself.

Stakeholder feedback can help to effectively outline and understand the problem, guide and mould the methodologies and also aid interpretation of results and policy considerations. Involving key parties throughout research development ensures the research remains timely and useful, but stakeholder engagement can often be difficult to establish. Taking advantage of existing contacts and using professional events as opportunities to network are ways in which early career researchers can reach out to key parties. I was particularly interested in talking to my local food safety team, so I sent a speculative email outlining my methodologies and they were happy to meet to start an open ended conversation about the research.

Although starting open-ended research conversations can only be a good thing, stakeholder engagement can bring about new challenges for researchers. Mainly, how to communicate technical theories to public and professional audiences? Explaining complex methodologies to non-academic audiences in an accessible way is often difficult. Although most Universities provide training to support early career researchers engaging stakeholders and the public, it takes much practice. Avoiding complex language and acronyms and focussing on results rather than methodologies are ways in which to make the research more understandable for non-academic audiences. Often public and professional audiences are less concerned with the minutia of the methods and more interested in results, outcomes and policy implications.

Alongside engaging with key stakeholders, developing research awareness is a crucial step in creating research impact. Writing a research blog, presenting at public seminar series, engaging with social media, and running public engagement events such as schools outreach sessions, are excellent ways to increase the visibility and profile of the research. However, life as an early career researcher is busy, and maintaining a balance between activities which promote the research and undertaking the research itself is one of the main challenges in developing impact. Impactful activities certainly shouldn’t detract from research excellence and learning to say no is also a vital skill that early career researchers should learn.

It is important that impact development is considered at all stages of the research so it remains timely, useful and policy relevant. Although the concept of impact isn’t new, as the 2020 REF looms, the emerging trend away from pure research excellence towards research dissemination and measured societal effect will not only demand established academics to change their approach to research, but it will also require an increased level of support for early career researchers entering this new landscape of academia.

Find out more about Rachel’s research – Using novel types of data to detect illness caused by contaminated food or drink.

Oxford Retail Futures Conference – call for papers

The changing role of place in a digital world

Background

The continued importance of physical locations for retailing has come into question, as the ways in which shoppers choose to shop are changing in fundamental ways. Three important drivers of this change are urbanization and the attendant growth of an increasingly demanding and affluent middle class (especially in emerging markets), the impact of technology, and the effects of regulation. As a consequence, pressures are beginning to affect the traditional roles of stores and the requirements for particular formats of stores are being revisited.

This year’s conference considers the implications of these changes for the physical landscape of retailing. We will address in particular how retailers’ space requirements are likely to change; to what extent the role of physical stores needs to be reimagined by retailers; how this will affect business models, local economies and communities; and how these changing roles will vary by sector as well as by geography; and what is at risk for stakeholders in retail property markets as well as for policymakers at national and local level.

Topic Selection

In this call for papers or extended abstracts (minimum 1 page of A4), we would like to invite contributions in areas related to the changing physical attributes of the retail sector. These may include theoretical and conceptual work, as well as examples from practice. Empirical results of analysis of large data sets are also welcome.

The call is focused, non-exclusively, on the following topics (applied in the retail context, both at the store-end and in the extended retail value/supply chain).

• Advances in the sourcing and analysis of spatial data
• Analysis of the impact of retail distribution activity
• Case studies of the evolution of retail places
• Geographical aspects of customer shopping behaviour
• Innovation in retail business models
• Local and regional economic studies and impact analysis
• New methods and tools for spatial analysis
• Policy implications of the spatial evolution of retailing
• Retail planning and development strategies
• Strategies and policies of retail real estate investors and developers
• Supply chain consequences of emerging retail distribution networks
• The evolution of the planned shopping centre
• The geographical consequences of omnichannel retailing
• The measurement of local economic activity
• Town centre development

Papers submitted will be reviewed by the academic board. Extended abstracts and work in progress are welcome.

Deadlines

• submission of extended abstracts – 31st July 2017
• notification of paper acceptance – 31st August 2017
• submission of final papers/extended abstracts  – 1st December 2017

Members of the Conference Academic Board

• Dr Richard Cuthbertson, OXIRM, Saïd Business School, University of Oxford, UK
• Dr Jonathan Reynolds, OXIRM, Saïd Business School, University of Oxford, UK

Contact Details

The conference is being organised jointly by the Oxford Institute of Retail Management, Saïd Business School, University of Oxford and the Consumer Data Research Centre (CDRC).

Further details can be found here.

For academic-related enquiries, please contact Dr Richard Cuthbertson at [email protected] or Dr Jonathan Reynolds at [email protected]

For conference logistics, please contact Claudia Seiler at [email protected], [email protected]

Please send papers / abstracts to [email protected]

Registration fee

£195

The fee can be waived for students and presenters. Therefore, please use the dedicated students or presenters registration link.

All other delegates please use this registration link.

CDRC paper wins CASA prize for the Best Paper on Spatial Analysis at GISRUK 2017

A CDRC funded conference paper by Luis Francisco Mejia Garcia (former CDRC Masters Research Dissertation student, now BlueOptima), Guy Lansley (CDRC, UCL) and Ben Calnan (Movement Strategies) won the UCL CASA prize for the Best Paper on Spatial Analysis, in memory of Sinesio Alves Junior, at this year’s GISRUK conference. The prize was judged by an independent panel of academics from the Centre for Advanced Spatial Analysis (CASA). The paper entitled “Modelling Spatial Behaviour in Music Festivals Using Mobile Generated Data and Machine Learning” aimed to demonstrate the potential utility of mobile phone data to understand and predict spatial consumer behaviour within an enclosed environment. The study was an extension of research conducted for a dissertation in last year’s CDRC Masters Research Dissertation Programme.

The extended abstract is available on the GISRUK website: http://manchester.gisruk.org/proceedings.php and Luis’s Masters Research Dissertation case study here.

CDRC paper wins prize for Best Paper by a Young Career Researcher at GISRUK 2017

A CDRC conference paper by Alyson Lloyd and James Cheshire won the GISRUK 2017 prize for best paper by a young career researcher, sponsored by Pixalytics. The presentation entitled “Challenges of Big Data for Social Science: Addressing Uncertainty in Loyalty Card Data” was voted for by attendees of the conference. The research aims to understand the prospects of loyalty card data for uses within social science using the CDRC’s High Street Retailer data. The paper presented the construction of a method to detect unreported customer address changes in the data, by analysing their store visiting behaviours.

The extended abstract is available on the GISRUK website: http://manchester.gisruk.org/proceedings.php and a case study on Alyson’s research can be found here.