About the event
Date: 3- 5 July 2017 Time: 9:00 - 16:40
Please note, there is a registration fee for this event.
Data science is an emerging discipline, fuelled by continuing advances in technology for data acquisition, storage and curation. Data Science is fundamentally inter-disciplinary, covering computer science and machine learning, mathematics and statistics, and domain knowledge from application areas. The role of statistics in this emerging discipline is unclear. This conference will feature invited and contributed papers exploring the nature of the relationship between statistics and data science, suggesting state-of-the-art reasoning from both areas, and developing a synergistic path forward. The conference will feature invited talks by prestigious speakers. In addition, contributed talks are sought. The collection of talks will be published in an edited volume by Word Scientific.
Confirmed speakers: On Computational Thinking, Inferential Thinking and Data Science Michael Jordan (University of California, Berkeley) Inference Challenges in Transportation Emma McCoy (Imperial College London) Title to be confirmed Heather Battey (Imperial College London Evaluating Statistical and Machine Learning Classification Methods David Hand (Winton, UK)
Title to be confirmed GCHQ speaker (Government Communications Headquarters)
David Leslie (Lancaster University) Principled Statistical Inference in Data Science Alastair Young (Imperial College London) Data Science in Defence and Security Mark Briers (The Alan Turing Institute) Retail Planning in Future Cities: A Stochastic Formulation of a Dynamical Singly Constrained Spatial Interaction Model Mark Girolami (Imperial College London and The Alan Turing Institute)
Title to be confirmed Matt Ridley (Winton)