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.
|St Anne's||St Anne's||e-Research Centre||St Anne's|
|9.00||Will the real data scientist please stand up!
(Open Data Institute)
|Research Software Engineers Event|
|9.30||UK e-Infrastructure Academic User Community Forum|
|9.45||Realtime Telemetry Quality
(Water Research Centre)
|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|
|1.30||Research Software Engineers Event||UK e-Infrastructure Academic User Community Forum|
|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|
|3.45||Life of the Research Technologist|
|4.00||Crowd & Cloud|
|4.30||Research Technologist Panel|
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
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.
- 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)
- 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)
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.
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.
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.
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)
Data Science Panel - Challenges & Curriculum
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?
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.
- Data management planning for Doctoral Training Centres
Jez Cope (Bath)
- SoundSoftware.ac.uk 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)
- 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)
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.