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 UEA datathon, you will work with others in the DPUK Data Portal. You will experiment with multi-modal methods – classical statistics, machine learning and virtual clinical trials to predict dementia risk and likelihood of conversion from mild cognitive impairment to dementia. Research questions will centre around prevention, co-morbidities and healthy ageing in dementia research.
Successful applicants may have a dementia specialism, experience in machine learning or experience in applied classical statistic approaches. 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 UEA datathon be like?
Meet the leads of the DPUK datathon at UEA
How should I join?
Complete the online application form and send us your CV before the deadline of 9am on 4 October 2019. Applications may close sooner if we have enough good quality applications.
- Data scientists with some experience working with complex data.
- 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 6-8 November 2019. If you can't make these dates, find out about other future datathons.
- The datathon takes place at the University of East Anglia.
- Places are selective and strictly limited.
- Attendance is free. There are a limited number of travel bursaries and discounted accommodation available for successful applicants.
- Travel bursaries are available for early career scientists.
This datathon is also supported by