The University of Southampton
Data Science

Data Science Symposium 2016 Event

Date:
12 - 14 January 2016
Venue:
Careys Manor Hotel & SenSpa Lyndhurst Road SO42 7RH Brockenhurst United Kingdom

For more information regarding this event, please email Dr Ruben Sanchez-Garcia at R.Sanchez-Garcia@soton.ac.uk .

Event details

We organised are organising a Data Science Iinterdisciplinary Symposium in Southampton from in January 12th to 14th 2016, building on the Southampton Data Workshop last in September 2014, but with a more national and international scope. The programme will dreaw participants from the core subjects (Statistics, Mathematics, and Computer Science), practitioners (including industry and government agencies), and other stakeholders with relevance in Data Science and Big Data.

Event Aims

The overall goal of this event was to strengthen inter-disciplinary and inter-institutional links in Data Science and Big Data, across academia, industry, and government and other organisations.

Please see below the event programme and poster, a post-event news story, and short video interviews with some of the speakers.

Data Science Symposium Programme

Day 1 - Tuesday 12th of January
10:00 - 10:30 Registration - Coffee
10:30 - 11:30 David Hand Imperial College London The Roles of Models in Data Science
11:30 - 12:30 Peter Grindrod University of Oxford Red Herrings and Wild Goose Chases - Creating Analytics for Impact
12:30 - 13:30 Lunch
13:30 - 14:10 Wendy Hall University of Southampton Observatories and Data Analytics for Web Science
14:10 - 14:50 Frank Wood University of Oxford Probabilistic Programming
14:50 - 15:30 John Aston University of Cambridge When Big Data Isn’t “Big Enough”: Tales From an Infinite Data World
15:30 - 16:00 Tea / Coffee
16:00 - 17:00 Fai Cheng Lloyd's Register Big Data and its Transformational Effects
17:30 - 18:30 Drinks Reception
Day 2 - Wednesday 13th of January
09:00 - 09:30
Tea / Coffee
09:30 - 10:30 Gunnar Carlsson
Stanford University
Topology for Data Analysis
10:30 - 11:00 Tea / Coffee
11:00 - 11:40 Vitaly Kurlin
Durham University
Topological Computer Vision
11:40 - 12:20 Jane Naylor
Office of National Statistics
Data Science and Its Role within Official Statistics
12:20 - 14:00 Lunch
14:00 - 15:00 Anne Trefethen
University of Oxford
Turning Data Science Theory Into Data Science Practice
15:00 - 15:40 Sofia Olhede
University College London Big Data In Time
15:40 - 16:10
Tea / Coffee
16:10 - 17:00 Poster Storm
17:00 - 18:00 Poster Session
18:30 - Late Drinks Reception
Day 3 - Thursday 14th of January
09:00 - 09:30
Tea / Coffee
09:30 - 10:30 Arthur Gretton
University College London
Kernel Nonparametric Tests of Homogeneity, Independence and Multi-Variable Interaction
10:30 - 11:00 Tea / Coffee
11:00 - 12:00 Yike Guo
Imperial College London
Big Data for Better Science
12:00 - 13:30 Lunch and End

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