Outcomes

Final reports

Dstl

Inmarsat

CodeCheck


Case studies

Dstl

Inmarsat

CodeCheck

About the event

We are delighted to announce that applications are now open for the 4th Turing Data Study Group which will be held 11-15 December 2017 at The Alan Turing Institute in London.

This is a week long opportunity for PhD students, early career researchers, and industry-based data scientists.

Deadline: Sunday 19 November 2017

Candidates are invited to participate in this highly popular and productive collaborative event.  It’s a fantastic opportunity to rapidly develop and test your data science skills with real-world data, to forge new networks in your professional community for future research projects, and to build links with The Alan Turing Institute – the UK’s national institute for data science.

The Turing Data Study Group brings together researchers, data practitioners, and industry representatives from leading organisations to work together on data science challenges posed by partner organisations in multi-disciplinary teams, enabling researchers to build collaborations and work with real-world industry datasets.

It’s a lot of fun, a lot of hard work, a crucible for innovation and excellent science, and new friendships.

 

The science challenges being prepared for the 4th Turing Data Study Group range across the health sector, retail and conservation, global communication networks, and defence and security.

Confirmed challenges (so far) are:

  • Can data science help identify potential drivers of engaging in extremism?
  • Can the news help us understand global instability?
  • Can we use time-series analyses to predict the geospatial demand for a global satellite communications network?
  • How do our food choices affect climate change?

Previous partner organisations have included: Care Quality Commission (CQC), dstl, HSBC, National Grid, NHS Scotland, Samsung, Siemens, Tata Steel and Thomson Reuters.

We’re particularly looking for skills in time-series and geospatial data, NLP (sentiment, topic and grammar), clinical studies, survey data, and web-scraping. A background in sociology, psychology, political science, or computer science (compilers or static program analysis) would also be helpful. However, this isn’t an exhaustive list, since diversity of disciplines is encouraged and the science challenges are under development.  We therefore warmly invite applications from a range of academic backgrounds and specialisms.

Applicants should submit a summary of their technical skills(with evidence) and collaborative experience (with examples), and their CV.  We are also interested in applicants’ aspirations of participating in the Data Study Group.

The Alan Turing Institute will cover travel costs, and provide accommodation and catering for the week.

The deadline for applications is Sunday 19 November 2017. If your application is successful, you will be informed by Friday 24 November 2017. We look forward to receiving your application.

Email: Data Study Group with any queries.