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
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Tuesday December 11, 2018
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Europe/London 3rd IMA Conference on the Mathematical Challenges of Big Data DoubleTree West End, 92 Southampton Row, Bloomsbury, London, WC1B 4BH, UK Programme Data-driven analysis is increasingly on the critical path for performance advantage in many organisations, both public and commercial.  This […]
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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


Programme

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.

Invited Speakers

Sofia Olhede, UCL
Coralia Cartis, Oxford University
Christian Steinruecken, Cambridge University
Armando Vieira, Direct Line
Noel-Ann Bradshaw and Serge Plata, Sainsbury’s Argos
Peter Beckman, Argonne National Laboratory

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

Conference Fees

Conference Fee – IMA Member £305
Conference Fee – IMA Student £225
Conference Fee – Non IMA Member £395
Conference Fee – Non IMA Student £235

Conference Dinner £55

Registrations for this event are now closed.

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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