Deriving age and gender from forenames for consumer analytics

This paper explores the age and gender distributions of the bearers of British forenames and identifies key trends in British naming conventions. Age and gender characteristics are known to greatly influence consumption behaviour, and so extracting and using names to indicate these characteristics from consumer datasets is of clear value to the retail and marketing industries. Data representing over 17 million individuals sourced from birth certificates and market data have been modelled to estimate the total age and gender distributions of 32,000 unique forenames in Britain. When aggregated into five year age bands for each gender, the data reveal distinctive age profiles for different names, which are largely a product of the rise and decline in popularity of different baby names over the past 90 years. The names database produced can be used to infer the expected age and gender structures of many consumer datasets, as well as to anticipate key characteristics of consumers at the level of the individual

Representing Population Dynamics from Administrative and Consumer Registers

This research attempts to derive representative metrics of household dynamics and migration by analysing changes between two annual composite registers of the UK population. Through appropriate data cleaning and linkage techniques, it is possible to match addresses and record changes in their size and composition over a two year period. The paper also demonstrates that it is feasible to approximate migration trends by filtering and matching records of household units and individuals whom are not recorded at the same address in both datasets

Using linked consumer and administrative data to model demographic changes in London’s city fringe

This unique book demonstrates the utility of big data approaches in human geography and planning. Offering a carefully curated selection of case studies, it reveals how researchers are accessing big data, what this data looks like and how such data can offer new and important insights and knowledge

Using linked consumer registers to estimate residential moves in the United Kingdom

This paper argues that frequently updated data on the nature of residential moves and the circumstances of movers in the United Kingdom are insufficient for many research purposes. Accordingly, we develop previous research reported in this Journal to re-purpose consumer and administrative data in order to develop annual estimates of residential mobility between all UK neighbourhoods. We use a unique digital corpus of linked individual and household-level consumer registers compiled by the UK Consumer Data Research Centre, comprising over 143 million unique address records pertaining to the entire UK adult population over the period 1997–2016. We describe how records pertaining to individuals vacating a property can be assigned to their most probable residential destination, based on novel methods of matching names, assessing household composition, and using information on the date and probable distance of residential moves. We believe that the results of this analysis contribute highly granular, frequently updated estimates of residential moves that can be used to chart population-wide outcomes of residential mobility and migration behaviour, as well as the socio-spatial characteristics of the sedentary population

Using Big Data to Measure the Demographic Changes in a Gentrifying Neighbourhood

This paper presents the use of a micro-level population dataset constructed from linked administrative and consumer data to model the local demographic changes that have occurred in a given area. The constituents of this database derive from 20 years of linked electoral registers and consumer datasets which when amalgamated represent the vast majority of the adult population. While the component data inputs only include dates, names and addresses, this paper shall demonstrate that a range of novel data linkage exercises can reveal local population trends that were otherwise unavailable from traditional data sources

Using the spatial analysis of family names to gain insight into demographic change

This paper describes the steps involved to prepare the largest ever quantitative analysis of the distribution of surnames in Great Britain. We describe the method to estimate approximately 1.2 million surname distributions using Kernel Density Estimates (KDEs) for seven years of historic census data and twenty years of contemporary Consumer Registers. We argue that these surname distributions could offer valuable insight into processes of contagious and hierarchical diffusion of populations as well as the regional distinctiveness of demographic change and stasis

Geocoding historical census records in England and Wales

This paper describes efforts to geo-reference addresses from the 1901 Census of Population of England and Wales by linking them to the contemporary OS AddressBase. The results indicate that it is feasible to standardise and geocode a large share of unique addresses from the historic database. Roughly 38% of addresses from 1901 could be linked to contemporary address coordinates. A further 25% of records could be allocated to a road. Geographic trends in the proportion of properties that could be matched were then explored to reveal fascinating insights about how housing has changed since 1901

Design, Implementation and First Measurements with the Medipix Neutron Camera in CMS

The Medipix detector is the first device dedicated to measuring mixed-field radiation in the CMS cavern and able to distinguish between different particle types. Medipix2-MXR chips bump bonded to silicon sensors with various neutron conversion layers developed by the IEAP CTU in Prague were successfully installed for the 2008 LHC start-up in the CMS experimental and services caverns to measure the flux of various particle types, in particular neutrons. They have operated almost continuously during the 2010 run period, and the results shown here are from the proton run between the beginning of July and the end of October 2010. Clear signals are seen and different particle types have been observed during regular LHC luminosity running, and an agreement in the measured flux rate is found with the simulations. These initial results are promising, and indicate that these devices have the potential for further and future LHC and high energy physics applications as radiation monitoring devices for mixed field environments, including neutron flux monitoring. Further extensions are foreseen in the near future to increase the performance of the detector and its coverage for monitoring in CMS.Comment: 15 pages, 16 figures, submitted to JINS

Sprinting with an amputation: Some race-based lower-limb step observations.

BACKGROUND: T44 sprinting with an amputation is still in a state of relative infancy. Future scope for athletic training and prosthetic limb development may be assisted with a better understanding of information derived from T44 athletes when under race-based conditions. OBJECTIVES: To investigate the behaviour of step count and step frequency when under competitive conditions. STUDY DESIGN: The study comprises two elements: (1) a video-based analysis of race-based limb-to-limb symmetry and (2) a video-based analysis of race-based step count. METHODS: Video analysis of several major events from 1996-2012 are assessed for step count and step limb-to-limb symmetry characteristics. RESULTS: The video analysis highlights limb-to-limb imbalances greater than those indicated in the previous literature. A low step count is determined to be desirable for success in the 100-m event. CONCLUSION: Future analysis of athletes with a lower-limb amputation would be worthwhile when placed under race-based conditions as the limb-to-limb behaviour is more exaggerated than those seen in typical studies held within a laboratory setting. The within-event behaviour of step counts requires further investigation to establish where these take place or whether it is a cumulative step length issue. CLINICAL RELEVANCE: This article increases the understanding of the race-based behaviour of amputee athletes and provides more information to contribute to any discussions on the performance of lower-limb prostheses