Turing-LIDA Data Study Group – Call for Researcher Participants

Turing-LIDA DSG 2021 – Call for Researcher Participants

Data Study Groups (DSGs) are intensive ‘collaborative hackathons’, bringing together external organisations with talented multi-disciplinary researchers. Acting as ‘Challenge Owners’ these organisations put forth real-world problems to be tackled by small teams of selected Researcher Participants. The DSG challenges will focus on the areas of urban, geospatial and consumer data, but applications are welcomed from researchers with an interest in data science from all research subject areas.

The DSG will take place as an online event over 2 weeks 12 – 23 July 2021 (with precursor week commencing 5 July). Participants will need to attend for the full two weeks, as well as to take part in some training and introductory sessions in the precursor week commencing 5 July. (see further details below)

During the DSG, the Researcher Participants brainstorm and engineer data science solutions. Each team presents their work on the final day of the DSG and produce a report that will be returned to the Challenge Owner and subsequently published on the Turing / LIDA websites. Following the DSG, there is an opportunity to identify opportunities for follow-on research.

The DSG will provide a fantastic opportunity to rapidly develop your data science skills using real-world data, and offers participants the chance to forge new networks with LIDA, The Alan Turing Institute and industry. We encourage PhDs, postdocs and other early career researchers to apply.

Profile of a DSG Researcher Participant

Researchers are typically PhD students and early career academics from statistics, computer science, engineering, mathematics, geography, and computational social science, as well as wider disciplines where data science and AI skills are increasingly becoming relevant. But please note a PhD or masters degree itself is not essential for participation and we encourage those with nontraditional qualifications/ experience at this level to apply.

Relevant skills for participants in the challenges will be general statistics and data science, machine learning, computer vision, operations research, scheduling, optimization, time series and forecasting.  Participants should also be familiar with handling and analysing large data sets in standard data science environments such as R and Python. Experience of team building and collaborative working would also be helpful.

The Challenges

Precise details cannot be released until contracts are finalised, but challenges will be in the following general areas:

  • Geospatial data, particularly involving 3D point cloud data (LIDAR), and methodology to identify relevant features.
  • Consumer data relevant to nutrition, behaviour and government policy.
  • Commercial data and business planning.

Challenge organisations are likely to include small and large businesses, and public sector organisations.

Format of the Data Study Group

The Data Study Group will run remotely and will be divided into two stages.

Stage 1: The Precursor Week (5-9 July)

  • The precursor stage will last one week in the run up to the ‘event stage’.
  • Maximum time commitment 2.5 hours a day (lunch-times and early evenings).
  • Online workshops/ presentations/ team building in order to prepare for the ‘event stage’.

Stage 2: The Event Stage (full-time, 12-23 July)

  • The ‘event stage’ will run over two weeks (12-23 July).
  • Core working hours of 9-5 BST every week day, however flexibility will be demonstrated with regards to those participating in different time zones.
  • Group work begins and continues throughout.

Applicants should be able to commit to the duration of the event. LIDA is committed to supporting individual circumstances, please do not hesitate to email us to discuss any reasonable adjustments.

To apply

Deadline: 9 June 2021, 23:59 BST

*Follow this link to the Turing blog post on how to write a great Data Study Group application.*

Successful applicants will be notified on or shortly after 17 June 2021.

Successful applicants will be required to agree to the DSG Terms and Conditions which will be shared with you on offer of a place.

Please contact either Rosaleen McDonnell (rmcdonnell@turing.ac.uk) or the DSG Project Manager Bina Champaneria (b.champaneria@leeds.ac.uk) if you have any questions.

Learn more about DSGs on the Alan Turing Institute website.