Advances in Data Science 2017 Conference - Registration now open!Published: Monday, 27 March 2017
2017 conference from the Data Science Institute
Date: Monday 15 - Tuesday 16 May 2017
Venue: Museum of Science & Industry, Manchester
Registration is now open for this year's Advances in Data Science 2017. The event is a two-day meeting to present recent developments in data science, with a focus on advanced analytics (machine learning, Bayesian statistics, scalable algorithms), privacy, visualisation, software and diverse applications. Speakers include leading data scientists from industry and academia.
• Mark Girolami, Imperial College London and The Alan Turing Institute
• Raia Hadsell, DeepMind
• Zoubin Ghahramani, University of Cambridge and Uber AI
• Yves-Alexandre de Montjoye, Imperial College London
• Borja de Balle Pigem, Lancaster University
• Jean-Pierre Hubaux, EPFL
• StJohn Deakins, CitizenMe
• Ruth King, University of Edinburgh
• Gaël Varoquaux, INRIA
• Sophie Sparkes, Tableau Software
• Caroline Jay, University of Manchester
• Idris Eckley, Lancaster University
• David van Dyk, Imperial College London
• Niall Robinson, Met Office Informatics Lab
This event is organised by Magnus Rattray (University of Manchester) & Neil Lawrence (Amazon).
To view the complete conference programme. The registration fee is £100 and the cost of the optional workshop dinner on Monday evening is £50.
Call for Submissions
To be considered for a short oral presentation or poster please submit an abstract describing new or recently published data science research. Relevant topics for the meeting include advances in machine learning and computational statistics, data science applications, privacy, visualisation and software. The deadline for submissions is Monday 3rd April 2017; click here for more information on how to submit.
We will keep a small number of spaces available until after decisions on submissions are released to ensure that speakers for accepted contributed talks can register. However, space at the venue is limited and therefore we encourage people to register as soon as possible to avoid disappointment.
If you have any queries please contact email@example.com.