Research project
Quanticode and the Ethics of Data Analytics
- Start date: 1 March 2016
- End date: 31 August 2019
- Funder: EPSRC - Making Sense of Data (EP/N013980/1)
- Co-investigators: Dr Roy Ruddle, Prof Mark Birkin, Dr Jan Palczewski, Dr Georgios Aivaliotis, Prof Sir Alex Markham, Prof Justin Keen, Prof Chris Megone, Dr Kevin Macnish
Partners and collaborators
Supported by the MRC (ES/L011891/1) and the ESRC (ES/L011891/1).
Description
The QuantiCode project aims to develop novel data mining and visualization tools and techniques, which will transform people’s ability to analyse quantitative and coded longitudinal data. Such data are common in many sectors.
For example, health data is classified using a hierarchy of hundreds of thousands of Read Codes (a thesaurus of clinical terms), with analysts needing to provide business intelligence for clinical commissioning decisions, and researchers tacking challenges such modelling disease risk stratification.
Retailers such as Sainsbury’s sell 50,000+ types of products, and want to combine data from purchasing, demographic and other sources to understand behavioural phenomena such as the convenience culture, to guide investment and reduce waste.
Contact
For any enquiries, please contact: Prof. Roy Ruddle (PI), r.a.ruddle@leeds.ac.uk