Ideas in Practice Symposium

Time:
09:30 - 17:00
Location:
The British Academy, London
Who can attend:
The event is targeted at a range of business sectors including analytics/IT, consumer products, retail, finance, health, police, local government and academia.
Register for this event

‘Good Use of Big Data: capability, responsibility and ethics’

Leeds University Business School would like to invite you to a Big Data Symposium ‘Good Use of Big Data: capability, responsibility and ethics’. 

A particular theme that we want to emphasize at the Symposium is sharing best practice between sectors regarding data and analytics. We are creating data at an unbelievable rate and the transformational potential of this data is huge. It can make businesses and organisations more efficient, systems run more safely, provide the means to cure disease and bring global markets a lot closer than they have ever been before. The data doesn’t necessarily have to be ‘Big’ but often it is and that in itself presents challenges. 

With all this potential comes a lot of responsibility to protect the individual and to behave ethically. It is not only the ‘good’ people that are working in this arena; something so powerful is bound to attract criminals and opportunists as well. How can we exploit the transformational potential but keep society safe? 

The Symposium will be hosted by Professor Timothy Devinney, Pro Dean for Research and Innovation and Leadership Chair in International Business at Leeds University Business School.

Guest speakers and panel members at this Ideas in Practice Symposium will include:

  • Rashik Parmar, Lead IBM Cloud Advisor – Europe, IBM Distinguished Engineer, IBM
  • Michael Whitelegge, Head of Big Data Solutions at Marks & Spencer plc
  • Professor Tobias Preis, expert in Behavioural Science and Finance at Warwick Business School
  • Helen Brown, Head of Analytical Services - Data Flows at NHS England
  • Andrew Bolton, Chief Data Officer and Director, Fraudscreen Limited
  • Sean Price, Head of Performance at Avon and Somerset Police
  • Mick Yates, Visiting Professor, University of Leeds, and consultant on the leadership, strategy and privacy implications of data-based insight
  • Alice Daish, Data Scientist at The British Museum 
  • other industry data analytics experts 

There will be a lively series of presentations and an Open Forum panel discussion on responsibility and ethics. 

The aim of our Ideas in Practice series of events is to engage academia with businesses and organisations with the aim of sharing knowledge, acting as a focus for expertise and developing collaborations.  

The Symposium follows on from a Big Data Conference we held in Leeds last July which was attended by 70 people from different sectors. We also held a Big Data Symposium at the Royal Society in January 2015 with around 80 attendees. There are two blogs here from last year’s conference.

There is no charge for this event.

Event format

9.30 am Registration and refreshments
9.45 am Welcome and introduction by Prof Timothy Devinney
10.00 am Keynote Presentations with Q&A and discussions
11.45 am Open Forum panel discussion on responsibility and ethics
12.45 pm Networking Lunch
1.30 pm Keynote presentation with Q&A
2.00 pm Breakout discussion groups with feedback
3.45 pm Keynote presentation with Q&A followed by Symposium closing comments
4.30 pm Drinks reception

For further information, please contact The Research Office at research.lubs@leeds.ac.uk

Programme

Morning Programme

9.30am: Registration

9.45am: Welcome 

  • Professor Timothy Devinney, Pro Dean for Research, Leeds University Business School
  • Professor Mat Robson on behalf of the Consumer Data Research Centre and Leeds Institute for Data Analytics

Morning Session Chair:  Professor Timothy Devinney
Keynote presentations and Q&A

10.00am: 'Finding space in the digital economy'

  • Rashik Parmar, Technical Executive - Europe and IBM Distinguished Engineer

10.30am: 'Data Driven Retailing'

  • Michael Whitelegge, Head of Big Data Solutions at Marks & Spencer plc

11.15am: Break


11.30am: Panel discussion 'How is our big data capability constrained by ethical, legal or other influences and what can we do about it?'

  • Helen Brown, Head of Analytical Services – Data Flows, NHS England
  • Andrew Bolton, Chief Data Officer and Director, Fraudscreen Limited
  • Mick Yates, Visiting Professor, University of Leeds, and consultant on the leadership, strategy and privacy implications of data-based insight
  • Asel Ibraimova, Solicitor, Data Protection specialist, Squire Patton Boggs, London

12.30pm: 'Analysing the UK Corporate Sector'

  • Professor Nick Wilson, Professor of Credit Management, Accounting and Finance Division and Director of the Credit Management Research Centre (CMRC)

1.00pm: Networking Lunch 

Afternoon Programme

Afternoon Session Chair:  Professor Mat Robson

2.00pm: 'Measuring and predicting human behaviour with online data'

  • Dr Tobias Preis, Associate Professor of Behavioural Science and Finance at the University of Warwick and a Faculty Fellow of the Alan Turing Institute

2.30pm: 'HR and Big Data: Why is HR lagging behind in analytics and how can it catch up?'

  • Professor Andrew Charlwood, Professor in Human Resource Management and Head of Work and Employment Relations Division, Leeds University Business School

3.00pm:  Afternoon Tea and networking

3.30pm: Presentations and Q&A

  • 'Police Data and Analytics – The Emerging Landscape'
    Introduction by Simon Williams, Research Fellow, AIMTech, Leeds University Business School
  • 'Transforming Policing though Predictive Analytics and Visualisation
    Sean Price, Head of Performance, Avon and Somerset Police

4.00pm: 'Data-Driven Museums:  How do you transform a traditionally un-data-orientated organisation into being data-driven armed with data science processes and plenty of enthusiasm?'

  • Alice Daish, Data Scientist at The British Museum and Co-Founder of R- Ladies Global and mentor at R-Ladies London

4.30pm: Closing remarks

  • Professor Mat Robson, Leeds University Business School 

5.00pm: Close of afternoon session

Drinks Reception in the Reading Room

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