Wednesday 17 Feb
Datathon
Join clinicians, researchers, data scientists and trainees for a full day of hands-on data science, working in teams to tackle a real clinical question using ANZDATA data.
Powered by Dell's cutting-edge GB10 machine, teams will spend the day exploring the data before pitching their findings, with the winning team announced the following day at the 50th Anniversary Symposium.
Event details
Where: SAHMRI Auditorium, North Terrace, Adelaide, SA
When: 9am-4pm, Wednesday 17th February, 2027.
Preliminary Schedule
|
Time |
Event |
|---|---|
|
8:45am |
Registration and Welcome |
|
9:00am |
Datathon briefing |
|
9:30am |
Sprint one |
|
12:30pm |
Lunch |
|
1:30pm |
Sprint two |
|
3:00pm |
Team presentations |
|
4:00pm |
Close |
Registration Information
Registration is priced by ticket type.
Please note that Symposium and Anniversary Dinner tickets should be purchased separately here.
Early bird pricing is available until 15 November 2026, simply select whichever ticket type best reflects your primary role.
Not sure which category applies to you? Get in touch at anzdata50@anzdata.org.au.
|
EARLY BIRD PRICING |
Datathon |
|---|---|
|
Medical |
$100 |
|
Nursing, Coordinators, Allied Health |
$50 |
|
Medical Trainee, Researcher, Data Manager |
$50 |
|
Consumer |
FREE |
What is a Datathon?
How does it work?
At the start of the day, we'll present the dataset and the clinical question teams will be tackling. From there, teams have the rest of the day to explore the data, test ideas, and build toward a solution.
Late in the afternoon, each team pitches their findings to a panel, with the winning team announced at the end of the day. They will also have an opportunity to present their winning presentation during Day 1 of the ANZDATA 50th Anniversary Symposium.
Who participates?
The Datathon is designed for a mix of skillsets, academic and clinical researchers, clinicians, registry managers, statisticians, data managers, and data analysts or scientists, as well as PhD students and advanced trainees.
Teams work best with a blend of clinical and technical expertise.
What skills do I need?
No single skillset is required. Some familiarity with data analysis (e.g. R, Python, Stata, or similar tools) is helpful, but clinical knowledge and curiosity are just as valuable.
Teams are typically made up of people with complementary strengths, so come ready to contribute what you know and learn from your teammates.
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