Introduction to LIDAMark Birkin, Professor of Spatial Analysis and Policy & Director of LIDA

The Value of Big Data

The range and qualitative content of data is changing quickly so new research is needed.

The Data Landscape

Providing civic engagement by providing solutions to real problems in the city, economy and society.

Delivering world class research in relation to data science, its applications and form the synergies between them.

Co-producing research and innovation between the academic, commercial, government and third sector communities.

Acting as a foundation for economic growth and regional prosperity.

Engaging with a lay audience regarding questions of public participation, value, ethics and protection.

1.0

2.0

3.0

4.0

5.0

LIDA Vision

LIDA FacilitiesLIDA has state of the art physical and IT infrastructures providing the academic community and our partners in business, government and the third sector with the tools to harness the potential of Big Data.

Leeds Integrated Research Campus

£7m Medical Research Council Investment

Our challenge is to link molecular,

phenotypic and health record

datasets, sourced locally and

nationally, for research to deliver

patient benefit.

£11m ESRC Investment

Our aim is to work with organisations to open up their data to our trusted researchers so we can provide solutions that drive economic growth and improve our society.

£11m ESRC Big Data Investment which is led by the University of Leeds and University College London.

Research Centres

Population movements & behaviours to inform policy and

improve services

Understanding and improving ethical & sustainable consumption systems

Providing secure platforms for data sharing

Training & Capacity Building activities to address the UK data

analytics skills gap

Facilitating collaborations between private & public sector

organisations

Aims to open up consumer data resources to benefit researchers in business, government and society at large.

Consumer Data Research Centre

www.cdrc.ac.uk

Big Data and HealthSocial Geography of Consumption

Using spatial analytic data models to assess food risks.

Big Data and Crime Analytics• Utilising social media

• Better understanding of footfall volumes in city

• Quantify number of potential crime victims in area

• Support local authorities in targeting resource

• Clearer focus for crime reduction

• More strategic incidence response

Figure 1. Significant clusters of crime taking account of the average hourly mobile population between 16:00-19:59

A ‘living’ journey planner that crowdsources how the transport system is operating in real-time to provide citizens with frustration-free routing and cities with granular data on how people travel.

Big Data and Transport

Utilising big data from the railways to understand, simulate and predict individual movement patterns of railway passengers.

Product assortment planning(management of waste)

Big Data and Sustainable Consumption

Enhanced understanding of customer behaviour

(click and collect)

Consumer attitudes and lifestyles(format development, pricing and

promotion)

Aims to create research capacity and infrastructure to maximise patient benefits from data analytics.

Medical Bioinformatics Centre

Patient outcomes to inform treatment of the treatment of

future patients

Define more appropriate smaller populations for personalised medicine

Linking molecular features, treatment & outcomes

Introduce a broader range of information to inform trials and individual patient meta-analysis

Link medicine, health informatics, bioinformatics, statistical

epidemiology and computing

Hyperpolarised Medical Resonance Imaging (MRI)• Promises valuable techniques for early

detection of tumours

• Generates vast swathes of data

• Need for petabyte storage

• Requires computer generated analytics for filtering & diagnosis

• Reduction in lead time from research to implementation saves lives