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AHH Hackathon – Predicting biological age from MEG

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AHH Hackathon – Predicting biological age from MEG

November 4, 2019 @ 12:00 am AEDT

The MEG hackathon

Date: Monday 9 –   Friday 13 December
Time: 9.00am – 5.00pm
Location: Australian Hearing Hub
PLEASE REGISTER HERE

The hackathon will be organised by the Australian Hearing Hub and the Macquarie University Department of Computing. The goal is to develop collaborations within the Australian Hearing Hub and across the University, generating grant applications and projects leading to innovative technologies in hearing research.

Prizes
1st Prize: $300 for each challenge
2nd Prize: $150 for each challenge
‘People’s Choice’ prize: $100

Challenge – Predicting biological age from MEG

As a consequence of increased average lifespan, age-related cognitive decline has become a pressing public health concern. The early detection of deviations from normal neurocognitive ageing is recognised as being critical the deployment of early intervention.

The link between age and direct measures of brain function is therefore of special practical significance in neuroscientific research – a description of the normative trajectory of functional brain age is the ultimate goal of this challenge.

The challenge will be to develop computational methods that can predict the biological age of an MEG dataset based upon a training dataset. Data will consist of a database of MEG resting-state recordings.

Structure
The hackathon will take place over five days (Monday 9 – Friday13 December).
Day 1: 9.00 am – 11.00 am – Introduction to the challenge, data and form teams
Day 2, 3 & 4: Hacking – For those attending the Australian Hearing Hub there will be a programming expert at hand to provide support, if required. For those working from home or elsewhere, there will be online support throughout the day.
Day 5: am – Hacking
pm – Presentations, judging and prize giving!
Refreshments will be provided

PLEASE REGISTER HERE
Deadline to register is Wednesday 27 November. All applications will be reviewed and final selection and notification will be on or before Monday 2 December

Further details about the structure, format of the data and software will be provided here closer to the event.

Details

Date:
November 4, 2019
Time:
12:00 am AEDT
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