3rd IMA Conference on the Mathematical Challenges of Big Data

Event


Date: -

DoubleTree West End

92 Southampton Row, Bloomsbury, London, WC1B 4BH, UK

Monday December 10, 2018 Tuesday December 11, 2018 Europe/London 3rd IMA Conference on the Mathematical Challenges of Big Data DoubleTree West End92 Southampton RowBloomsbury, LondonWC1B 4BHUK Data-driven analysis is increasingly on the critical path for performance advantage in many organisations, both public and commercial.  This raises […] Event Link: https://ima.org.uk/9104/3rd-ima-conference-on-the-mathematical-challenges-of-big-data/

3rd IMA Conference on the Mathematical Challenges of Big Data


Data-driven analysis is increasingly on the critical path for performance advantage in many organisations, both public and commercial.  This raises continuous challenges for rigorous analysis to derive reliable insights from data at very large scale, often with potential artefacts and sampling bias, adding to change variation. This conference brings together researchers and practitioners to signpost developments in the state-of-the-art and find common ground where theory and practice meet to maximise impact in the digital economy. It is a forum for networking and to showcase the very latest research in a broad range of topics.  Each session will feature an invited talk by an expert speaker.

Topics of interest

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

Mathematical challenges arising from Big Data
Mathematical Innovation in Data Science
Multidisciplinary applications of Big Data
Data assimilation and inverse problems from novel sensors
Applications of block-chain including cryptocurrencies
Persistent homology
Optimal and dynamic sampling
Stream data management
Uncertainty modelling & generalisation error bounds
Network analysis & web mining methods
Trend tracking & novelty detection
Dynamic segmentation & clustering
Deep learning
Transfer learning
Context awareness
Multimodal data linkage
Integration of multi-scale models
Mining of unstructured, spatio-temporal & multimedia data
IoT and large sensor networks
Predictive analytics and recommender systems
Real-time forecasting
Access on-demand in distributed databases
Privacy protecting data mining
Homomorphic encryption
Data integrity & provenance methods
Visualization methods
Mathematics underpinning large-scale use cases

Call for Abstracts

Papers will be accepted for the conference based on a 300-500 word abstract for oral or poster presentation. We welcome abstracts to be submitted by Friday 28 September 2018 via https://my.ima.org.uk Please indicate whether your title is intended for oral or poster presentation. Note: If you are an IMA Member or you have previously registered for an IMA conference, then you are already on our database. Please “request a new password” using the email address previously used, to log in.

Programme Committee

Paulo Lisboa, Liverpool John Moores University (Chair)
Patrick Rubin-Delanchy and Dan Lawson, University of Bristol (Co-Chairs)
Ben Dias, Royal Mail
Iain Duff, STFC, Rutherford
Peter Grindrod, University of Oxford
Richard Pinch, Cheltenham
Jennifer Scott, Science & Technology Facilities Council
Jared Tanner, University of Oxford

Further information

For queries or to register your interest, please contact the Conferences Department, Institute of Mathematics and its Applications, Catherine Richards House, 16 Nelson Street, Southend-on-Sea, Essex SS1 1EF, email: conferences@ima.org.uk, tel: +44 (0) 1702 354020.

Image credit: DT West End – Exterior © DoubleTree by Hilton
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