Data Study Group: Health and Well-being

Date: 4-8 September 2017

Time: the Data Study Group starts Monday 4 September at 10:00 and finishes Friday 8 September at 13:00.

This is a week long opportunity for students, postdocs, and academic staff to work on real-world data science challenges provided by leading organisations in the health and well-being sector.

Apply now to take part in this Data Study Group (deadline noon 7 August).

The Alan Turing Institute organises several data study groups per year. Last December we ran a very successful interdisciplinary data study group which focused on Data-centric engineering and you can also read about the experience of one the researchers and one of our industry partners from the last Data Study Group in May 2017.

The Alan Turing Institute’s Health and Well-being Data Study Group is an opportunity to tackle challenging problems in data science while working with faculty members and postgraduates from top UK universities.

What will be the schedule of events?

The event will bring together researchers and the public health sector to work on data science challenges posed by you.

Non-competing research groups present a challenge of their choice to an audience ranging from academics to postgraduate students. These participants split up into groups to work on one of the challenges. Over an intensive week, they will start designing solutions. At the end, a report is produced and presented to you and your organisation.

Read more about the challenges.

What outcomes can you expect?

The report will present potential solutions and recommendations to your challenge.

Following the workshop, and the delivery of a report to each company, there will be further opportunities to discuss collaboration with The Alan Turing Institute and its University Partners.

In the past, other industry study groups of this kind have been very successful and yielded new collaborations.

  • Look at the collaboration with Pilkington Glass which led to saving millions of Euros by reducing the time for experiments in the production plant.
  • Read about applications developed in tyre recycling, incubation of penguin eggs, LEGO, and traffic monitoring.
  • Explore the vision and the data study groups underlying principles.


Prerequisites and costs for industry partners.

You should provide a clear problem description along with relevant data. Ideally, this problem should be of high value to you.

To set the challenge you will need to provide a person with a complete technical understanding of the challenge, along with your organisation’s perspective. It is highly beneficial if this person also participates in the workshop throughout the week.

Participation in this data study group for industry partners costs £10,000. However, this cost can be significantly lower for small organisations/groups with exciting data sets. A final decision will be based on the data sets and the level of interest of the suggested challenges.

Who will participate?

The participants will be top PhD students and early career academics from statistics, computer science, engineering, mathematics, and computational social science; primarily from The Alan Turing Institute and its partner universities – The University of Cambridge, The University of Edinburgh, The University of Oxford, UCL and The University of Warwick, but also drawing in talent from across the UK.

For participants, the event is an opportunity to solve real problems, to learn more about your particular company and to build up contacts between academia and the industry.

If you are interested in participating or if you require more information, please do not hesitate to contact us.