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Programme Details

The programme for this year's conference is shown below. We're excited to be featuring keynote speakers including Professor Peter Grindrod CBE (Mathematical Institute, University of Oxford),  Tom Heath (Open Data Institute),  Kenji Takeda (Microsoft Research), Ben Fields (Goldsmiths University of London) and John Brown (Water Research Centre). There will also be a wide range of presentations covering all areas of Digital Research.

Scroll down the page to see full details for each session.

St Anne's St Anne's e-Research Centre St Anne's
9.00 Will the real data scientist please stand up!
Tom Heath
(Open Data Institute)
Research Software Engineers Event
9.30 UK e-Infrastructure Academic User Community Forum
9.45 Realtime Telemetry Quality
John Brown
(Water Research Centre
10.30 Coffee
11.00 Challenges of Data Science Coffee Coffee
11.30 Registration Research Software Engineers Event UK e-Infrastructure Academic User Community Forum
11.45 Data Science Panel Challenges and Curriculum
12.30 Lunch Lunch
1.00 Lunch Lunch
1.30 Research Software Engineers Event UK e-Infrastructure Academic User Community Forum

Data Science on the Cloud
Kenji Takeda

2.00 Actionable Data Science
Prof. Peter Grindrod
2.30 Life of the Research Technologist Coffee
2.45 Crowd & Cloud Coffee
3.00 Research Software Engineers Event UK e-Infrastructure Academic User Community Forum
3.15 Coffee
3.30 Coffee
3.45 Life of the Research Technologist
4.00 Crowd & Cloud
4.30 Research Technologist Panel

A Case Study in The Data Science Approach - Finding the Perfect Beer in Oxford
Ben Fields


The Conference Dinner will be held on Monday 9th September at 7.30pm at St Anne's College.



Unless stated otherwise all sessions take place in the Tsuzuki Lecture Theatre

Monday 9th September


2.00 - 2.45pm

KEYNOTE: Actionable Data Science : big data + analytics = competitive advantages

Professor Peter Grindrod

Examining the exploitation of big data, via analytics, within some specific commercial sectors: telco/m-finance; energy (smart meter and smart grid) and digital advertising/marketing.


2.45 - 3.30pm

Crowd & Cloud - part 1

  • Citizen Science and Crowd-sourcing Biological Data
    Simon Price, Dave Kilbey, Jasper Tredgold, Chris Bailey, Mark Van Rossum, Mike Jones and Damian Steer (Bristol)
  • Identifying categorical representations over big datasets using Discrete Markov Chain Monte Carlo with People
    Anne Hsu, Jay Martin, Adam Sanborn and Tom Griffiths (Queen Mary)
  • Data blogging: a new implication for science impact
    Weigang Yan and Heath Malcolm (CEH)


4.00 - 4.45pm

Crowd & Cloud - part 2

  • The Environmental Virtual Observatory: A user-driven cloud-implementation of environmental models and data for all
    Robert Gurney, Gordon Blair, et al. (Reading)
  • DEMO: Cloud Computing for Physical Activity Analysis
    Simon Woodman, Hugo Hiden, Paul Watson, Mark Turner and Vincent van Hees (Newcastle)


4.45 - 5.30pm

KEYNOTE: A Case Study in The Data Science Approach - Finding the Perfect Beer in Oxford

Dr Ben Fields

Ben is obsessed with data, beer, and music, not necessarily in that order. He recently left a job as a data scientist with Musicmetric to work on getting beer availability on the Web, properly, as the co-founder and head of product for In Our Cellar. He is an expert on metadata, structured data, the semantic web and recommendation systems.


Tuesday 10th September


9.00 - 9.45am

Opening remarks – John Brooke

Keynote introduction - Dave De Roure


KEYNOTE: Will the real data scientist please stand up?

Dr Tom Heath

As a Data Scientist with the Open Data Institute, Tom Heath supports teams, at the ODI and elsewhere, who want to find and exploit the value in Open Data. Having been an early and long-standing contributor to the Linking Open Data community, Tom has witnessed first-hand the transformative potential of Open Data in enabling novel initiatives and communities, and is passionate about furthering this trend.


9.45 - 10.30am


Keynote introduction - John Brooke

KEYNOTE:  Realtime Telemetry Quality

Dr John Brown

Ofwat, The Water Services Regulation Authority, requires water companies to make better use of telemetry data and demonstrate they understand the uncertainty in the quality of this data. Current trends demand increased real-time visibility of information and make greater use of advanced data-driven technologies. However, the sheer scale and complexity of water industry telemetry systems presents a significant data quality challenge.


11.00 - 11.45am

Challenges of Data Science

This session is split into two streams

Stream 1 - Tsuzuki Lecture Theatre

session chair - Matthew Dovey

  • The Data Scientist: On the Origin – and Evolution –  of a Species
    Ralph Schroeder (Oxford)
  • How do I know? Assessing the reliability and validity of micro blogging data
    Ana Canhoto & Jan Kietzmann
  • Globally distributed data integration: working with systems where you don’t know what you don’t know
    Farjam Eshraghian and Ashley Lloyd (Edinburgh)


Stream 2 - Seminar Room 7

Session chair - John Brooke

  • In a Big Country: Collaborative Digital Research on Technology Acceptance in China
    Ashley Lloyd, Peggy Li, Mario Antonioletti, Terence M Sloan and Yvonne Barnard (Edinburgh)
  • A case for embracing new digital media and new data in research: applications and beneficiaries from a marketing management perspective
    Sarah Quinton (Brookes)
  • Model-Based Scientific Collaboration in Life Sciences
    Kristian J Garza, Carole Goble and John Brooke (Manchester)


11.45 - 1.00pm

Data Science Panel - Challenges & Curriculum

Panel chair:

Dave De Roure

Panellists: Yuri Kalnishkan (Royal Holloway), Jeremy Frey (University of Southampton), Sarah Quinton (Oxford Brookes), Eric Meyer (Oxford Internet Institute)


The Data Scientist has been described as “the Sexiest Job of the 21st Century”. But what exactly is Data Science, what makes a Data Scientist, and are universities doing enough to train them with the right skills? Plus have we become obsessed with data for data’s sake, are we guilty of data fundamentalism and is this a bad thing?

Here are some of the questions that have been suggested for the panel:

  • What is your story as a data scientist?
  • What are the key skills needed for a data scientist and how will they need to be different in 10 years?
  • Are we providing adequate training to meet needs from your point of view?
  • Are we teaching people how to deal with data but not how to really understand it?
  • Is there sufficient critical thinking in data science?


1.45 - 2.30pm

KEYNOTE:  Data science on the cloud

Dr Kenji Takeda

Dr Kenji Takeda is Solutions Architect and Technical Manager for the Microsoft Research Connections and has extensive experience in Cloud Computing, High Performance and High Productivity Computing, Data-intensive Science, Scientific Workflows, Scholarly Communication, Engineering and Educational Outreach. He will present Data Science on the Cloud and how researchers and research communities can use the Windows Azure cloud to advance discovery.


2.30 - 3.15pm

The life of the research technologist - part 1

  • Data management planning for Doctoral Training Centres
    Jez Cope (Bath)
  • Prizes for Reproducibility in Audio and Music Research
    Chris Cannam, Luis A. Figueira and Mark D. Plumbley
  • Mining and Mapping the Research Landscape
    Simon Price and Peter Flach (Bristol)


3.45 - 4.30pm

The life of the research technologist - part 2


  • Reproducible, Open Data Science in the Life Sciences
    Eamonn Maguire, Alejandra Gonzalez-Beltran, Philippe Rocca-Serra and Susanna-Assunta Sansone (Oxford)
  • CHARMe: Characterization of Metadata to enable high-quality climate applications and services
    Raquel Alegre, Jon Blower and Jane Lewis (Reading)
  • The Behaviour Composer: A web-based tool for authoring, exploring, and sharing agent-based models and behaviours
    Ken Kahn and Howard Noble (Oxford)


4.30 - 5.45pm

Research technologist panel

A panel discussion on the role of the Research Technologist and the quandary this community faces in finding a voice to prove that it is a distinct and necessary part of modern research.