Following another successful year of the CDRC Retail Masters Dissertation Programme, we are now seeking proposals from businesses for new projects due to commence next spring
For more information please visit: www.cdrc.ac.uk/retail-masters/information-for-retailers/
CDRC Masters Research Dissertation ProgrammeGuy Lansley
The CDRC Masters Research Dissertation Programme gives Masters students from across the UK the opportunity to undertake dissertations using commerical data on a problem set by a large commerical organisation.
For details visit: https://www.cdrc.ac.uk/retail-masters
The CDRC Masters Research Dissertation Programme - Call for SponsorsGuy Lansley
Following another successful year of the CDRC Retail Masters Dissertation Programme, we are now seeking proposals from businesses for new projects due to commence next spring
For more information please visit: www.cdrc.ac.uk/retail-masters/information-for-retailers/
The CDRC Masters Research Dissertation ProgrammeGuy Lansley
The CDRC Masters Research Dissertation Programme gives Masters students from across the UK the opportunity to undertake their dissertation on a predefined topic researching consumer data, with the sponsorship of a major retailer or large UK business.
Previously undertaken projects have covered a wide range of themes including segmenting households by their average daily temporal profiles of gas usage as recorded by smart reader readings (sponsored by British Gas), evaluating the utility of geotagged social media to high street retailers (sponsored by Marks and Spenser), estimating the impact of click and collect services on existing retail networks (sponsored by Tesco) and topic modelling (Easyjet & Argos).
For more details please visit: https://www.cdrc.ac.uk/retail-masters/
CDRC Masters Research Dissertation ProgrammeGuy Lansley
The CDRC Masters Research Dissertation Programme gives Masters students from across the UK the opportunity to undertake dissertations using commerical data on a problem set by a large commerical organisation.
For details visit: https://www.cdrc.ac.uk/retail-masters
The CDRC Masters Research Dissertation Programme - Call for SponsorsGuy Lansley
Following another successful year of the CDRC Retail Masters Dissertation Programme, we are now seeking proposals from businesses for new projects due to commence next spring
For more information please visit: www.cdrc.ac.uk/retail-masters/information-for-retailers/
The CDRC Masters Research Dissertation ProgrammeGuy Lansley
The CDRC Masters Research Dissertation Programme gives Masters students from across the UK the opportunity to undertake their dissertation on a predefined topic researching consumer data, with the sponsorship of a major retailer or large UK business.
Previously undertaken projects have covered a wide range of themes including segmenting households by their average daily temporal profiles of gas usage as recorded by smart reader readings (sponsored by British Gas), evaluating the utility of geotagged social media to high street retailers (sponsored by Marks and Spenser), estimating the impact of click and collect services on existing retail networks (sponsored by Tesco) and topic modelling (Easyjet & Argos).
For more details please visit: https://www.cdrc.ac.uk/retail-masters/
University of Leeds at the Digital Apprenticeship Community EventJames Clay
Blacquiere-Clarkson from the University of Leeds talk about how they have adapted the Jisc Digital Capability framework for the apprentices at their university.
Open Higher Education for Refugees by Florian Rampelt (kiron)EduSkills OECD
This presentation was given by Florian Rampelt of kiron at the international seminar “Opening higher education: what the future might bring” 8-9 december 2016, in Berlin, Germany, jointly organised by OECD Centre for Educational Research and Innovation (CERI) and Laureate International Universities (LIU).
Geoffrey Crossick is Director of the AHRC's Cultural Value Project and Distinguished Professor of Humanities in the School of Advanced Study at the University of London.
Geoffrey's presentation will focus on the project that he led for HEFCE (and supported by AHRC and ESRC) on the implications of open access for monographs and other long-form research publications.
The marketing gives an insight into the features of this app that make it different from various other apps in the same sector. It focuses on unique points that will be helpful to market .
University of Leeds at the Digital Apprenticeship Community EventJames Clay
Blacquiere-Clarkson from the University of Leeds talk about how they have adapted the Jisc Digital Capability framework for the apprentices at their university.
Open Higher Education for Refugees by Florian Rampelt (kiron)EduSkills OECD
This presentation was given by Florian Rampelt of kiron at the international seminar “Opening higher education: what the future might bring” 8-9 december 2016, in Berlin, Germany, jointly organised by OECD Centre for Educational Research and Innovation (CERI) and Laureate International Universities (LIU).
Geoffrey Crossick is Director of the AHRC's Cultural Value Project and Distinguished Professor of Humanities in the School of Advanced Study at the University of London.
Geoffrey's presentation will focus on the project that he led for HEFCE (and supported by AHRC and ESRC) on the implications of open access for monographs and other long-form research publications.
The marketing gives an insight into the features of this app that make it different from various other apps in the same sector. It focuses on unique points that will be helpful to market .
How are your staff and students using digital?Jisc
Speaker: Ruth Drysdale, senior co-design manager, Jisc.
It is anticipated that, within 20 years, 90% of jobs will require digital skills, so it’s important that universities and colleges are in a good position to prepare today’s students for tomorrow’s workplace. Understanding how students use technology and their attitudes towards its use in learning is a good place to start.
As universities and colleges are investing large sums of money into their digital environment, how do we know if this investment is being realised by staff and students using the technology effectively? In this hands-on workshop, delegates will have the opportunity of using tools and resources to support them with gathering evidence of how staff and students are using technology.
How are your staff and students using digital?Jisc
Speakers:
Sarah Knight, head of change - student experience, Jisc
Ruth Drysdale, senior co-design manager, Jisc
It is anticipated that, within 20 years, 90% of jobs will require digital skills, so it’s important that universities and colleges are in a good position to prepare today’s students for tomorrow’s workplace. Understanding how students use technology and their attitudes towards its use in learning is a good place to start.
As universities and colleges are investing large sums of money into their digital environment, how do we know if this investment is being realised by staff and students using the technology effectively? In this hands-on workshop, delegates will have the opportunity of using tools and resources to support them with gathering evidence of how staff and students are using technology.
COMIT / Fiatech Conference 2014, The Crystal, London
Efficiency Through Digital Projects
Flipping the Workforce are you ready – this session will present on what the industry is doing to prepare for the next generation of construction professionals
Discover how Young Engineers is creating the next generation of engineers!Young Engineers
This slideshow gives a great overview of the work Young Engineers is doing to help create the next generation of engineers by providing practical, real world activities for UK students aged 7-19. From fun taster sessions for novices through to international competitions and industrial experiences, our broad portfolio of interventions involves over 20,000 students a year.
If you are a company looking to achieve scale and become more innovative and competitive, or a research institution or college wanting to support company growth, then being part of a cluster can help achieve that goal. To find out more about clusters and how they can drive individual company growth, join us at our conference where international speakers from Norway, Canada, Denmark and Spain will share their success stories.
You will hear also hear more about what makes a good cluster and have an opportunity to engage with local companies who are already working collaboratively to deliver results.
The conference is being hosted jointly by Invest NI and the Department of the Economy, both of which are partners in the Interreg-funded CLUSTERS3 project, which focuses on improving cluster policies to boost regional growth and job creation.
SGCI - Science Gateways: Sustainability via On-Campus TeamsSandra Gesing
This talk gives an overview on enhancing the sustainability of science gateways via on-campus teams. It goes into detail for success stories, available funding mechanisms and suggests a roadmap for universities aiming at building centralized on-campus teams.
How Resilience Academy and GeoICT4e project uses DigiCampus to deliver 21st C...Msilikale Msilanga
The presentation is focusing on demonstrating different ways that the Digicampus platform is used to deliver multi-competence training to youth and university staff for future employability
Gedeon W. Werner: US-V4 University-Business Cooperation: a path to American c...CUBCCE Conference
The discussion about the role of academia and business in preparing entrants onto the labor market is most likely as old as the Academia itself. Generally the discussion looks like that: Academic view: we are not vocational schools and still we deliver what we are paid for. Business view: schools in general teach outdated knowledge and skills not compatible with fast changing business needs.
The Central European Institute (CEI), an organization within Quinnipiac University was established to foster mutually beneficial business and academic relationships . A few years ago, the CEI recognized an opportunity for students to provide a real, hands on and up to date consulting services for international companies planning to enter the US market. The student multidisciplinary teams (composed of MBA and International Business students) are led by leader/manager. The teams work directly with companies, owners and management teams and report do the Director of the CEI. Besides applying their business knowledge to real businesses the student teams are prepared to launch pilot projects on campus or with local businesses hence providing a real life test for the business products and services. The presentation will showcase a few projects that the students worked on and will share some lessons learned.
Using R to Visualize Spatial Data: R as GIS - Guy LansleyGuy Lansley
This talk demonstrates some of the benefits of using R to visualize spatial data efficiently and clearly.
It was originally presented by Guy Lansley (UCL and the Consumer Data Research Centre) to the GIS for Social Data and Crisis Mapping Workshop at the University of Kent.
Linking Socio-economic and Demographic Characteristics to Twitter Topics - Gu...Guy Lansley
Social media data is now widely considered a viable source for market and social research. Everyday Twitter’s users generate large quantities of data through Tweet messages which express the users’ thoughts and opinions, and may also describe their activity, plans and location. In its raw form, textual data at this volume is hard to process and understand, however, it is possible to model the Tweets into a small number of topics using generative probabilistic algorithms. This paper aims to research how the content of Tweets may vary by socio-economics and demographic characteristics using Tweets from Inner London sourced from the Twitter application programming interface.
Earlier research has successfully allocated over 1 million geo-located Tweets from Inner London in 2013 into a hierarchical classification of 20 groups and 100 subgroups created using a latent dirichlet allocation algorithm. The 20 groups consist of distinctive topics and uses of language, and they all demonstrate unique spatial and temporal patterns across Inner London. The next stage of the analysis explores how the Twitter classification varies across the residential geography of Inner London. Assuming that most Tweets sourced from residential buildings are likely to be sourced by residents, the classification can be compared to socio-economic and other demographic characteristics from open data sources. In addition, some characteristics such as gender and ethnicity can also be inferred from the names of Twitter users.
The geography of topics from geo-referenced social media data in London - Guy...Guy Lansley
Recent years have seen an increased use of social media data as a cheaper alternative to more traditional methods of market research. Social media services generate a large quantity of data everyday and some of the data is available through their Application Programming Interfaces (APIs). This paper explores the data recorded through the Twitter social media service. In particular we are interested in the analysis of the content of Tweet messages. At the finest geographical level, this type of analysis can gauge very useful information to local planners in general and retail planners in particular. Whilst much past research on the Tweets' content has emphasized on exploring the sentiments users express in their messages, there has been limited attempts to link the geography of user generated topics across space to land use and activity. In this paper, we explore a hierarchy of popular themes of Tweet messages generated across Greater London, using a sample of over 9 million Tweets recorded in 2013. This paper will investigate how such themes are associated with particular land use categories and associated activities with an emphasis on high street locations. We first develop an appropriate aggregate spatial geography for the analysis of geo-referenced Tweets in order to obtain an accurate picture of user generated topics across space from a wider range of individuals. Unsupervised modelling techniques such as Latent Dirichlet Allocation (LDA) are explored to classify topics. Finally, we present the temporal variations in topic formulation and popularity, both daily temporally and seasonally
Presented by Guy Lansley, 2015
Creating an Output Area Classification of Cultural and Ethnic HeritageGuy Lansley
This paper presents a Cultural, Ethnic and Linguistic Output Area Classification for England and Wales built from clustering census variables which pertain to cultural identity. The study provides a quick insight into the broad patterns in ethnic segregation based on the residential geography recorded from the 2011 Census and is therefore a useful tool for supermarket planners seeking to identify areas where to target particular ethnic origin foods. To confirm this association, the classification has also been compared with the total sales of a selection of ethnic origin foods using supermarket customer loyalty data.
Exploring the geography of the registered addresses of car models through a b...Guy Lansley
In 2013 there were 29.2 million registered cars in Great Britain, and the 2011 UK Censuses confirmed that almost 75% of households had access to at least one car or van. Despite this, the DVLA’s database of car model registrations remains underexplored as an indicator of household characteristics. Car ownership itself has been frequently considered as a census proxy variable for affluence in the past. However, this is now a dated interpretation as car ownership has become more widespread across society and the value of automobiles range considerably, additionally ownership is influenced by several factors asides from disposable income. Understanding the geography of different car models is likely be more informative of local population characteristics as the choice of model purchase is dependent on several factors, notably including the cost and the purpose of the vehicle. In partnership with the DFT and the DVLA, a car classification was produced which grouped every car model registered in Great Britain in 2011 into 10 distinctive categories based on the key characteristics of the vehicle. The DVLA then made the total number of registered cars for each classification category available at a small are geography (LSOA) to be analysed. The dataset was then explored to reveal distinctive spatial patterns exerted between car model types at the neighbourhood level. The findings were then compared to key 2011 Census variables and 2011 house price data from the Land Registry to understand how social standing and life stage relate to patterns in car consumption between neighbourhoods.
Evaluating the Utility of Geo-referenced Twitter Data as a Source of Reliable...Guy Lansley
Evaluating the Utility of Geo-referenced Twitter Data as a Source of Reliable Footfall Insight
Guy Lansley, UCL
Presented at the American Association of Geographers Annual Meeting, Tampa, FL. (10/04/2014)
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
CDRC Masters Research Dissertation Programme - Call for Partners
1. Call for Industry Partners
Guy Lansley
University College London
g.lansley@ucl.ac.uk
@GuyLansley
2. • The programme gives students the opportunity
undertake their dissertation which solves a
problem set by a industry partner
• Students usually carry out the research at their
universities with the support of their university
supervisors
• Students and supervisors will be invited to an
academic conference in October, where prizes
are offered for 3 dissertations
Summary
4. • Sponsor companies delegate one member of
staff to act as an industry supervisor for the
student to correspond with
• Sponsors will be required to select an
appropriate student from a small number of
applicants forwarded by the CDRC
• Students and their industry supervisors usually
hold a small number progress meetings during
the research phase
• Sponsors are asked to provide the student with
a £500 bursary, and also fund travel expenses
upon successful project completion
Industry Sponsors
6. The programme offers students a unique
opportunity to apply their skills to real-world
problems and to gain valuable experience
working with commercial datasets
Panel images from left to right: Christian Tonge (2017), Paula White (2017), Neelam Kundi (2017), Ulzhan Bissarinova (2017)
7. Incentives
Grouped words after implementing distributed representation of words,
with the means from Gaussian Mixture Models (Eirini Milaiou, 2016)
• Projects can address important
horizon-scanning questions
• Demonstrable collaboration
with academia
• Exposure to new software,
techniques and perspectives
• Positive implications for
postgraduate student
recruitment
8. Outputs
Short examples of previous projects are available online
www.cdrc.ac.uk/retail-masters/archive
9. Academic Conference
All participants involved in the programme are invited
to an annual academic conference
• Speakers include representatives from business,
academia and government
• The focus of the event is consumer data
• Students present posters of their research
• The three cash prizes are awarded
The Demographics Users Group Conference 2016
The Royal Society, London
10. Timeline
January
Projects are
advertised on the
CDRC website
Jan - Apr
The student application process is
open. The CDRC will forward
selected CVs and cover letters.
May - Aug
Research is undertaken either at the students own institution
or on-site with the industry sponsor
September
Dissertations are
submitted to the CDRC
and industrial sponsors
October
Participants are invited to an
Academic conference where
the prizes are awarded
11. • Industry representatives are invited to
propose research topics for prospective
students to undertake for them
• All projects must involve data on
consumers or the retail sector
• This can include open source data
• Guidance and submission instructions
can be found on the CDRC website
www.cdrc.ac.uk/retail-masters
Topics
12. Engagement
Step 1
Fill the project proposal form
and email it to
g.lansley@ucl.ac.uk
Step 2
Select a student from a shortlist
of applications forwarded by the
CDRC
Step 3
Hold occasional steering meetings with the selected student
between May and August
13. Work plans
Agree a work plan which
is most suitable with
your team
Off-site data access
Student works from their
university campus
Invite the student to
work from your office
over the Summer
On-site data access
Data can also be stored and
accessed through the CDRC
secure data lab facilities
14. • Visit www.cdrc.ac.uk/retail-masters and read the
Information for Retailers page
• You can also download a short project proposal
form from the webpage
To participate
A network graph showing the Bluetooth passenger flows
between bus stops (Daniel Stockdale, 2016)
• Projects should be problem
focused and involve either
retail data or data
pertaining to consumers
• The provisional deadline for
proposals is 8 December
15. Boots: Senior Portfolio Analyst, Space and Location Planning
"Had a good time working with the student. He was particularly good at
taking on board not only the overall research objective, but also my
specific requirement that he deliver us a working algorithm that we could
use and develop further (which he has done)! He kept in regular
communication throughout, and was confident to question and challenge
when necessary. Have to say he's also very entertaining“
Tesco: Community Plan Manager, Tesco.com
"I would definitely say the relationship has been very useful.
For my own project, it was very productive to have a dedicated researcher
to do the legwork and bring academic rigour and investigative ability to
the knotty and overwritten realm of making a business case for green.
The partnership also had the benefits of educating the student in the
corporate world and the different needs and drivers within that arena. A
win-win for both sides."
Feedback(1)
16. Local Data Company: Director
"Working with the UCL student was a great experience. The student took
responsibility for the project and required minimal supervision. The project
was completed to a high standard and clearly illustrated the capabilities of
the LDC datasets. The work covered a variety of key business issues and
the recommendations and results will be valuable pieces of insight.”
Sainsbury’s: Senior GIS Analyst, Property Insight & Analysis
"We had a great experience working with our student, who had a
fantastically professional approach and achieved a huge amount in a few
short months, with an instantly useable Classification that we have
implemented in many of our tools and analysis, and came to present the
work to the team.
The other great aspect of the project was that she taught us a lot too!”
Feedback(2)
17. E.ON Energy: Senior CRM marketing analyst. Customer insight and
Experience
"For me personally it was a great experience to get to work with such a
strong candidate with clear direction on what they wished to do and the
drive to own and deliver it. A clear and well delivered piece of work.
The work undertaken covered a number of key issues and the insight
produced will be valuable to the organisation.”
Feedback(3)
Previous projects have included:
Census analysis
Time-series analysis
Social media data
Customer Segmentation
Spatial interaction modelling
Topic Modelling
Previous projects have included:
Census analysis
Time-series analysis
Social media data
Customer Segmentation
Spatial interaction modelling
Topic Modelling
Previous projects have included:
Census analysis
Time-series analysis
Social media data
Customer Segmentation
Spatial interaction modelling
Topic Modelling
Previous projects have included:
Census analysis
Time-series analysis
Social media data
Customer Segmentation
Spatial interaction modelling
Topic Modelling
Previous projects have included:
Census analysis
Time-series analysis
Social media data
Customer Segmentation
Spatial interaction modelling
Topic Modelling
Previous projects have included:
Census analysis
Time-series analysis
Social media data
Customer Segmentation
Spatial interaction modelling
Topic Modelling