Apply now to work on data science challenges in health and well-being

Apply now to work on data science challenges in health and well-being

  • Data Study Group: Health and Well-being will take place at The Alan Turing Institute between 4-8 September 2017
  • Students, post-docs and researchers will apply their data science skills to real-world problems from leading organisations in the health sector
  • Example data science challenges to be worked on include the Care Quality Commission, the Francis Crick Institute and NHS Scotland

Our latest Data Study Group – a week-long activity bringing together researchers and industry to work on real-world challenges – is themed around health and well-being.

The event will take place between 4-8 September 2017 and we are seeking talented researchers to apply for a place before the deadline – extended to Friday 11 August noon.

A number of partners will work with us to provide data science challenges for the group, based on real-world problems and datasets.

For example, we will work with The Francis Crick Institute, with support from The Wellcome Trust, on data gathered from biomedical electron microscopy to seek machine learning solutions enabling cures for diseases like TB, malaria and cancer (see the call for full details).

We are developing challenges with the Care Quality Commission, on creating a decision tool to prioritise inspections of adult social care services in England, and NHS Scotland, to help them to look at the methodology underlying the risk scores used to calculate patient hospital admission data.

More details on these projects, and subsequent challenge partners will be announced very soon.

What are we looking for?

Sebastian Vollmer, Turing Fellow and Director of the Data Study Group series, commented:

“Data Study Groups are ideal for researchers wishing to gain experience in working on real-world datasets, expand their research horizons and network with leading organisations.

For the health and well-being group, we are specifically looking for expertise in machine learning, clustering and natural language processing. Please continue to follow the website for updates on some of the exciting challenges we will be working on.”

To find out more: Data Study Group: Health & Well being

To find out more about the Data Study Group experience, read this blog by previous participant Chanuki Sereinshe, a doctoral student at the Turing.

What’s in it for the industry partners?

Partners have access to groups of bright researchers, working intensively on their problems and generating real-world results.

Read about the experience of Siemens in previous Data Study Groups.

How do I get involved?

You need to apply before the deadline which has been extended to Friday 11 August 2017 noon via this link.

If you would like to be kept in the loop with future Data Study Group opportunities, click the box in the google form.