Dr Arne Strauss (University of Warwick) and Dr Christine Currie (University of Southampton) organise a one-day workshop in The Shard in central London to identify future research directions in the intersection of demand management (dynamic pricing, choice modelling, personalisation etc), privacy preservation and related issues against the background of a changing environment (as reflected e.g. by the sharing economy, smart grids, private data aggregators, General Data Protection Regulation, e-Privacy Regulation etc).

The workshop will include presentations from experts and users in the area (confirmed speakers include Prof Graham Cormode, Warwick Computer Science and Alan Turing Institute; Prof Mandy Chessell, IBM Distinguished Engineer and IBM Master Inventor; Prof Irene Ng, Director, International Institute of Product and Service Innovation); an introduction to the framework from Dr Stalla-Bourdillon (Law, University of Southampton) and facilitated discussions to develop research questions.

In participating in this event, you will be able to:

Attendees of the workshop are expected to act as representatives of their scientific discipline, and to act in the interests of the scientific community as a whole, rather than representing personal or organisational interests. The composition of the group will be decided by the organisers. We reserve the right to appoint members to the workshop group who have not applied to achieve the balance of representation required.

Thanks to funding support by EPSRC, this event is free of charge. Arrival is from 9am, and the event will start at 9:30am. The detailed schedule is online now. The main event will be followed by a drinks reception in the Shard's Viewing Gallery from around 5pm onwards.

Keynote speaker: Prof Graham Cormode, Computer Science, University of Warwick
Title: "The confounding problem of private data release"
Abstract: "The demands to make data available are growing ever louder, including open data initiatives and “data monetization”. But the problem of doing so without disclosing confidential information is a subtle and difficult one. Is “private data release” an oxymoron? This talk aims to delve into the motivations of data release, explore the challenges, and outline some of the current statistical approaches developed in response to this confounding problem."
Slides:  download

Further speakers: