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Queen Mary University of LondonQueen Mary University of London

Institute of Applied Data Science

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Challenges of Data Science 2018

Date(s): 21 September 2018
Time: 09:00 - 16:30
Location: Mason Lecture Theatre, Bancroft Building, Queen Mary University of London, Mile End Road, London E1 4NS
Details:
The Challenges of Data Science  2018 audience view
The Challenges of Data Science 2018 audience view
Challenges of Data Science 2018 takes place at Queen Mary University of London (QMUL). This conference will survey main achievements and societal, scientific and industrial challenges of various aspects of big data and AI relevant to the Institute of Applied Data Science (IADS) of QMUL. With support from The Alan Turing Institute.

TIMES
09.15 - 10.00 Dr Chris Yau, University of Birmingham: ‘The Lure of Data Science, Deep Learning, AI and all the other buzz words’

10.05 - 10.50 Dr Daniele Quercia, Head of Social Dynamics at Nokia Bell Labs, Cambridge: ‘Quantifying the Intangible’

11.10 - 11.55 Prof Gilles Zemor, Inst of Mathematics of Bordeaux: ‘Recent progress on Quantum Low Density Parity-Check (LDPC) codes’

12.00 - 12.30 Lord Tim Clement-Jones, former Lib Dem Spokesman on Culture, Media and Sport in the House of Lords: ‘Democracy and Data’

Lunch

14.00 - 14.45 Prof Nicola Marzari, Ecole Polytechnique Fédérale de Lausanne (EPFL): ‘Discovering novel materials: the convergence of high-performance computing, high-throughput computing, and data analytics’

14.50 - 15.35 Prof Ran Levi, University of Aberdeen: ‘Using Topology in the Study of Brain Structure and Function’

15.40 - 16.40 Panel Discussion

16.40 - 17.40 Wine Reception

Please note the event is now in the Mason Lecture Theatre, Bancroft Building and the talks will be recorded.
Contact: Colin Rainey
Email: c.rainey@qmul.ac.uk
Website: http://www.eventbrite.co.uk/e/challenges-of-data-science-2018-tickets-49036665988