Draft Timetable.
Day 2: 4th July, Winton,
Grove House, 27 Hammersmith Grove, London W6 0NE
Day 3: 5th July, Imperial College London,
Lecture Room 311, Huxley Building, 180 Queen's Gate, SW7 2AZ
Day 1: 3rd July, Winton,
Grove House, 27 Hammersmith Grove, London W6 0NE
Grove House, 27 Hammersmith Grove, London W6 0NE
| 9:15-9:30 | Registration |
| 9:30-9:45 | Opening remarks. Prof Niall Adams |
| 09:45-10:45 | Prof Mark Girolami, Imperial College London and
The Alan Turing Institute Retail Planning in Future Cities: A stochastic formulation of a dynamical singly constrained spatial interaction model |
| 10:45-11:05 | Coffee |
| 11:05-12:05 | GCHQ speaker, Does Data Science need Statistics? |
| 12:05-13:15 | Lunch |
| 13:15-14:45 | Contributed Talks Owen Abbot, ONS, Blending data science and statistics across government Lukas Mosser, Imperial, Reconstruction of three-dimensional porous media: statistical or deep learning approach? Takamitsu Araki, AIST, Dynamic factor modelling with spatially multi-scale structures for spatio-temporal data |
| 14:45-15:05 | Coffee |
| 15:05-16:05 | Dr Heather Battey, Imperial College London Large-scale and supersaturated studies: statistical considerations with examples |
| 16:05-16:45 | Contributed Talks Ewen Cameron, Oxford, Model emulation for calibration of a stochastic, individual-based simulation of malaria transmission G. Brandi, University of Rome, Latent financial networks projection via correlation tensor decomposition |
| 16:45-19:00 | Poster Session and Drinks Reception Poster Information |
Day 2: 4th July, Winton,
Grove House, 27 Hammersmith Grove, London W6 0NE
| 9:30-10:30 | Prof Alastair Young, Imperial College London Principled Statistical Inference in Data Science |
10:30-10:50 | Coffee |
| 10:50-12:10 | Contributed Talks Francisco Rodriguez-Algarra, QMUL, Targeted interventions: From Benchmarking Black Boxes to Probing Grey Boxes Matt Peterson, Sandia National Labs, Using data-driven uncertainty quantification to support decision making J.P. Meagher, Warwick, Phylogenetic Gaussian processes for the ancestral reconstruction of of bat echolocation calls |
| 12:10-13:20 | Lunch |
| 13:20-14:20 | Prof David Leslie, Lancaster University Uncertainty Matters |
| 14:20-15:20 | Prof Emma McCoy, Imperial College London Inference challenges in transportation |
| 15:20-15:40 | Coffee |
| 15:40-16:40 | Dr Mark Briers, The Alan Turing Institute Turing and Bayes |
| 16:40-17:40 |
Data Science Institute, Imperial College London Yike Guo, DSI Research : Data science as a unity Fangde Liu, Cooperative Machine/Deep Learning for Medical Image Applications Douglas Mcilwraith, "" |
| 18:30 |
Conference Dinner |
Day 3: 5th July, Imperial College London,
Lecture Room 311, Huxley Building, 180 Queen's Gate, SW7 2AZ
| 9:00-9:15 | Opening Remarks, Prof Nick Jennings, Imperial
College London |
| 9:15-10:15 | Prof Michael Jordan, University of California,
Berkeley On Computational Thinking, Inferential Thinking and Data Science |
| 10:15-10:30 | Coffee |
| 10:30-12:20 | Data Science in Industry Prof David Hand, Introduction Rob Biggs, RIPJAR Sabrina Castiglione, CheckRecipient Gilles Comeau, Just Eat Audi Virgile, Mentat Innovations |
| 12:20-13:20 | Lunch |
| 13:20-14:20 | Prof David Hand, Winton Evaluating statistical and machine learning classification methods |
| 14:20-14:50 | Contributed talks Francois-Xavier Briol, Imperial, Bayesian numerical methods as a case study for statistical data science |
| 14:50-15:10 | Coffee |
| 15:10-16:40 | Data Centric Engineering, Lloyd's Register
Foundation and The Alan Turing
Institute Nicolo Colombo, UCL,Tomography of the London Underground: a Scalable Model for Origin-Destination Data Weisi Guo, Warwick, Scalable and Adaptable Network Resilience for Critical Infrastructure Systems Rui Carvalho, Durham, Data-centric modelling and data analysis in the charging of electric vehicles |
| 16:40 | Closing remarks |