Advances in Data Science Will Take Place in Manchester, UK from Monday May, 20 2019 to Tuesday May, 21 2019

Advances in Data Science will take place in Manchester, UK from Monday May, 20 2019 to Tuesday May, 21 2019.

Author, Gwern Hywel

A Data Science Foundation Blog

May 2019

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Data Science Foundation Data Science Foundation, Atlantic Business Centre, Atlantic Street, Altrincham, WA14 5NQ Tel: 0161 926 3670 Email:[email protected] Web: www.datascience.foundation Registered in England and Wales 4th June 2015, Registered Number 9624670 www.datascience.foundation

A two-day meeting to present recent developments in data science. This year's meeting is themed around four topics: Health & Wellbeing, AI & Robotics, NLP & Text Mining and Security & Privacy. Invited speakers include leading data scientists from industry and academia, and there will be the opportunity to submit abstracts for talks and posters. Talks will range from application-focussed to advanced data science methodologies.

Invited speakers confirmed so far include: Danushka Bollegala, University of Liverpool Silvia Chiappa, DeepMind Yiannis Demiris, Imperial College London Sarah Filippi, Imperial College London Bennett Kleinberg, University College London Georgio Metta, IIT Italian Institute of Technology, Genoa, Italy Marion Oswald, University of Winchester Paul Taylor, Lancaster University Catalina Vallejos, University of Edinburgh & Turing Institute Byron Wallace, Northeastern University, USA Chris Williams, University of Edinburgh & Turing Institute Pierre Zweigenbaum, CNRS, Paris

See details of previous meetings here:

Advances in Data Science 2017 Advances in Data Science 2018

Delegates will be able to submit abstracts for consideration as short talk or poster presentations at the meeting. Note that there will only be a small number of contributions selected for talks due to time constraints.

Sponsors

University of Manchester Data Science Institute Alan Turing Institute

Organizers

Magnus Rattray; Sophia Ananiadou; Emma Barrett; Danielle Belgrave; Angelo Cangelosi

Programme

Day 1 Monday, May 20 8:00- 9:00 Arrivals

9:00- 9:10 Welcome Magnus Rattray, University of Manchester Data Science Institute

9:10- 9:45 Language, meaning and meta-embeddings Danushka Bollegala, University of Liverpool

9:50- 10:25 On the use and interpretation of neural attention mechanisms for biomedical natural language processing Byron Wallace, Northeastern University, USA

10:30 Coffee

11:00- 11:15 Text mining student discussion forum data: common pitfalls and how to avoid them Elaine Farrow, University of Edinburgh

11:20- 11.35 Towards an Emoji WordNet Matthew Shardlow, Manchester Metropolitan University

11.40- 12:15 Coping with large-scale terminology in a virtual patient dialogue system Pierre Zweigenbaum, CNRS, Paris

12:20 Lunch and posters

13:30- 14:05 Bespoke machine learning for humanoid robots Georgio Metta, IIT Italian Institute of Technology, Genoa, Italy

14:10- 14:45 Statistical hypothesis testing in a Bayesian non-parametric framework

14:50- 15:05 Predicting progression in heterogeneous neurodegenerative diseases using a joint mixture model approach Frank Dondelinger, Lancaster University

15:10 Coffee

15:40- 16:15 Statistical challenges in the analysis of single-cell gene expression data Catalina Vallejos, University of Edinburgh and Alan Turing Institute

16.20- 16:35 Flexible, wide-coverage normalisation of medical concept mentions Paul Thompson, University of Manchester

16.40- 16:55 Converting tweets into sequential data to detect depressed users Akkapon Wongkoblap, Kings College London

17:00 Posters and drinks

19:30 Dinner at Browns

Day 2 Tuesday, May 21 8:00- 9:00 Arrivals

9:00- 9:35 Will Crime Science eventually become Data Science? Bennett Kleinberg, University College London

9:40- 10:15 Old laws for new (algorithmic) tricks Marion Oswald, University of Winchester

10:20 Coffee

11:00- 11.35 The Synergy of Behavioural and Data Science in Security Paul Taylor, Lancaster University

11:40- 11:55 When the Magic Wears Off: Flaws in ML for Security Evaluations (and What to Do about It) Lorenzo Cavallaro, Kings College London

12:00- 12:15 Adversarial Vulnerability Bounds for Gaussian Process Classification Michael Smith, University of Sheffield

12:20 Lunch

14:10- 14:45 Artificial Intelligence for Data Analytics Chris Williams, University of Edinburgh and Alan Turing Institute

14:50- 15:05 Deconfounded Random Forests Reham Badawy, Aston University

15:10 Coffee

15:40- 15:55 Decomposing feature-level variation with Covariate Gaussian Process Latent Variable Models Kaspar Märtens, University of Oxford

16:00- 16:15 ANNABELL integrated in iCub: towards a grounded multi language systemGiovanni Masala, Manchester Metropolitan University

16:20- 16.55 Machine Learning for personalisation in assistive robotics Yiannis Demiris, Imperial College London

17.00 Close

The Data Science Foundation is a professional body representing the interests of the Data Science Industry. Its membership consists of suppliers who offer a range of big data analytical and technical services and companies and individuals with an interest in the commercial advantages that can be gained from big data. The organisation aims to raise the profile of this developing industry, to educate people about the benefits of knowledge based decision making and to encourage firms to start using big data techniques.

Contact Data Science Foundation

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