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Data Analytics & Society

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Student Posters

Oliver Beatson – Measuring the Popularity of Party Leaders: A Twitter Analysis

Celine Chalupa – Neighborhood Trajectories from Planning Data

Melanie Green – Comparing socio-economic characteristics to the built environment using high resolution aerial imagery

Jennie Gray – Predictive Geodemographics

Gioia Iacopini – Prediction of Company Success/Failure Using Supervised Machine Learning Algorithms

Vicki Jenneson – How can your weekly shop contribute to nutrition research?

Jen Murphy – Evaluating the Impact of Devolution – DevoManc

Chris Newton – Predicting dietary choices with machine learning

Noelyn Onah – Patient segmentation: Identifying clinically relevant groups of similar cost

Nikos Patias – Neighbourhood trajectories in the UK

Fran Pontin – Physical Activity in the UK: findings from a commercially available App 

Natalie Rose – Weather and the Impact on High Street Retail

Krasen Samardzhiev – Topological Data Analysis of Big Spatio-Temporal Urban Data

Keiran Suchak – Footfall at Kirkgate Market

Rhiannon Thomas – Locating police bases to minimise response time to immediate 999 incidents using ArcGIS

Ryan Urquhart – Incorporating E-commerce into Grocery Sector Retail Location Modelling

Eugeni Vidal Tortosa – Cycling Rates, Cycle-Friendly Infrastructure and Deprivation in the South London Partnership Area

Annabel Whipp – Exploring the Ambient Population: Leeds City Centre

 

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