2nd IMA Conference on the Mathematical Challenges of Big Data

Event


Date: -

Mary Ward House, London

Thursday December 1, 2016 Friday December 2, 2016 Europe/London 2nd IMA Conference on the Mathematical Challenges of Big Data Programme Big data and data science are topics of the moment. Among the raft of conferences on these subjects few […] Event Link: https://ima.org.uk/3213/2nd-ima-conference-on-the-mathematical-challenges-of-big-data/

2nd IMA Conference on the Mathematical Challenges of Big Data


Programme

Big data and data science are topics of the moment. Among the raft of conferences on these subjects few have a clear focus on the underpinning theoretical methodologies to maximise the information that can be extracted in the presence of inherent uncertainties, sampling bias, data streams, data linkage and all of the other specific features of so-called big data applications. This conference will showcase work by young and established researchers advancing the state-of-the-art on a rigorous mathematical basis. Alongside new methodology there will be application strands led by industry to showcase the power of mathematical approaches in practical applications. Each session will feature an invited talk by an expert speaker who will review an advanced area of current research.

Invited Speakers

Prof Niall Adams, Imperial College London
Prof Peter Diggle, University of Lancaster
Prof Mark Girolami, University of Warwick
Prof Peter Grindrod, University of Oxford
Dr Carola-Bibiane Schönlieb, University of Cambridge

Topics of interest

Papers should describe mathematical challenges specific to the following topics or their application in large-scale use cases:

Optimal and dynamic sampling
Probably approximately correct methodologies
Uncertainty modelling & generalisation error bounds
Network analysis & community finding
Graph & web mining methods
Trend tracking & novelty detection
Stream data management
Dynamic segmentation & clustering
Transfer learning
Latent models for hierarchical data
Deep learning
Context awareness
Multimodal data linkage
Integration of multi-scale models
Mining of unstructured, spatio-temporal, streaming and multimedia data
Computational intelligence in large sensor networks
Predictive analytics and recommender systems
Real-time forecasting
Access on-demand in distributed databases
Affordable high performance computing
Privacy protecting data mining
Data integrity & provenance methods
Visualization methods
Mathematics underpinning large-scale use cases

Conference Fees

Early Bird Fees*:

IMA Member:

£285.00

Non-IMA Member:

£375.00

IMA Student Member:

£195.00

Non IMA Student: £205.00

Early Bird Fees* will be available until Monday 7 November 2016, after which the fees will be:

IMA Member:

£305.00

Non-IMA Member:

£395.00

IMA Student Member:

£215.00

Non IMA Student: £225.00

*Early Bird Fees must be paid by Monday 7 November 2016 otherwise the higher price will be implemented.

Conference dinner on evening of 1 December: £55

Conference fees include refreshments and lunches throughout the conference.

To register for this or any IMA event, please visit myIMA

Programme Committee

Prof. Paulo Lisboa, Liverpool John Moores University (Chair)
Prof. Iain Duff, STFC, Rutherford
Prof. Peter Grindrod, University of Oxford
Prof. Giles Pavey, Dunnhumby
Dr. Richard Pinch, Cheltenham
Dr. Jennifer Scott, Science & Technology Facilities Council
Prof. Jared Tanner, University of Oxford

Further information

For general conference queries, or to register, please contact Lizzi Lake, Conference Officer
Email: conferences@ima.org.uk              Tel: +44 (0) 1702 354 020
Institute of Mathematics and its Applications, Catherine Richards House, 16 Nelson Street, Southend-on-Sea, Essex, SS1 1EF, UK.

Image credit: Mary Ward House, Tavistock Place, WC1 by Mike Quinn / Geograph / CC BY-SA 2.0
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