Why should I join?
Clinical trials are moving earlier to intervene before the onset of dementia itself. As the amount of data that we have available to us increases rapidly, it is becoming vital to innovate in order to make sense of it and gain new insights.
At the Swansea datathon, you will work with others in the DPUK Data Portal. You will experiment with multilevel statistical modelling and machine learning to predict dementia risk and likelihood of conversion from mild cognitive impairment to dementia. Scientific questions from our lead scientists will guide you as you develop your study proposal. These will centre around co-morbidities in dementia research.
Successful applicants will have a strong statistical background, including multilevel statistical modelling. Experience in machine learning and packages with a programming element (R, Stata, Python and MATLAB) will be particularly useful. There will be opportunities to gain experience in these packages at the datathon. Experience in working with dementia and health data welcome. Participants will be carefully selected to ensure a complementary interdisciplinary mix of skills.
You will be part of an interdisciplinary research collaboration. We offer ongoing support to those research teams who wish to develop their ideas into full study proposals and published research following the datathon.
What will the Swansea datathon be like?
Meet the leads of the DPUK datathon at Swansea
How do I join?
Complete the online application form and send us your CV before the deadline of 9am on 4 October 2019.
- Good statistical background which includes multilevel regression modelling
- Experience of working in dementia or health research will be useful, but is not required.
- University or industry-based.
UK and further afield.
- The deadline for applications is 9am on Friday 4 October 2019.
Three-day intensive workshop format from 30 October to 1 November 2019. If you can't make these dates, find out about other future datathons.
- The datathon takes place at Swansea University.
- Places are selective and strictly limited.
- Attendance is free.
- Travel bursaries are available for early career scientists.