26-28 June 2017

Submissions deadline: 14 March 2017
Notification of acceptance: 24 March 2017

Read More


Registration Fee: £50 per delegate

Register here


Big Data has become ubiquitous in modern society, but drawing insights from it remains a challenge due to its unprecedented degrees of heterogeneity, often compounded by inadequate experimental design. The past decade has seen considerable developments with big data algorithms, but significant challenges remain for the area’s theoretical underpinning.

The aim of this workshop is to gather experts who develop theory and methodology for big data sets; i.e. scientists who construct new algorithms, but also develop theoretical understanding as to the analysis techniques that are optimal or preferable in different sampling scenarios. The workshop will feature research into computational and statistical efficiency trade-offs, high-dimensional dependency structures (such as spatiotemporal models), as well as high-dimensional estimation and learning, and privacy-preserving algorithms.

Focus Areas

The Conference will focus on:

  • Challenges in Spatial & Temporal Analysis
  • High-Dimensional Estimation and Learning
  • Privacy-preserving inference
  • Tensors and statistical modelling

    The conference will also feature a half-day event on Data Sharing & Governance, organised by the Turing Gateway to Mathematics.

  • Scope

    Contributions within the broad theme of theoretical, computational and statistical underpinnings of Big Data analysis, emphasizing challenges and opportunities that are not usually found in traditional data analysis problems.


    The initial abstract submission deadline was in March 2017. Abstracts have now been reviewed and designated either 15-minute talks or poster presentations.

    Poster submissions are still being considered: If you wish to submit an abstract to be considered for presentation as a poster, you may do so until Friday 9th June 2017.

    Submissions take the form of an extended abstract (up to 1 side of an A4 sheet) in PDF format, describing the potential contribution, which can be novel or related to an existing pre-print or publication.

    Scientific Programme Committee

    Prof Sofia Olhede (Conference co-Chair, University College London)
    Prof Patrick Wolfe (Conference co-Chair, University College London)
    Prof Florentina Bunea (Cornell University)
    Prof Petros Dellaportas (UCL)
    Dr Arthur Gretton (UCL)
    Dr Ioannis Kosmidis (UCL)
    Dr Ioanna Manolopoulou (UCL)
    Prof Richard Samworth (University of Cambridge)
    Dr Ricardo Silva (UCL)
    Prof Ming Yuan (University of Wisconsin-Madison)

    Theory of Big Data 2015 & 2016

    Programme & Slides from our previous events


    Prof. Charlotte Deane

    University of Oxford, UK

    More Info

    Prof. David Hand

    Imperial College London, UK

    More Info

    Dr. Louis Aslett

    University of Durham, UK

    More Info

    Prof. Farinaz Koushanfar

    University of California, San Diego, USA

    More Info

    Dr. Lek-Heng Lim

    University of Chicago, USA

    More Info

    Prof. Christos Dimitrakakis

    Chalmers University and University of Lille

    More Info

    Prof. Marten Wegkamp

    Cornell University, USA

    More Info

    Prof. Peter Hoff

    Duke University, USA

    More Info

    Dr. Tian Zheng

    Columbia University, USA

    More Info

    Prof. Guy Nason

    University of Bristol, UK

    More Info

    Prof. Arnak Dalalyan

    ENSAE ParisTech, France

    More Info

    Dr. Heather Battey

    Imperial College London, UK

    More Info

    Prof. Ming Yuan

    University of Wisconsin-Madison, USA

    More Info

    Join the UCL Centre for Data Science Mailing List!

    Enter your details below

    * indicates required

    Follow us on Twitter @uclbdi