Limited seats left! Registration is now base on first come first serve.
Parallel Tracks for Datathon:
Track 1: AI for Critical Care: supported by clinical data from over 200K ICU patients from US hosted on Google Cloud
Track 2: AI for General Care: supported by synthetic EMR data from NUH hosted on Google Cloud
Track 3: AI for Medical Imaging: supported by two image datasets hosted on both the DGX-1 machines from NSCC and TPU machines from Google Cloud
What's Gonna Happen?
19th July Friday (6pm) : Pitching and Team Forming
- Before the event, we will recruit 20 international and local physicians to be the clinical leads for our datathon teams. These clinical leads will propose a clinical challenge that they face and can potentially be addressed with the given data
- On Friday event, the 20 clinical champions will take turns to pitch their challenge to recruit their datathon team
- We then will break out for dinner, where participants are encouraged to discuss with all the clinical champions and find a team that they will love to join.
- Teams should be formed by 8am and get ready for Hacking :)
20th July Saturday (830am ~ End of the day): The Hacking Begins!
- After a short briefing in the morning, the hacking officially starts!
- Teams will continue to hack on, where in between they can arrange feedback sections with our international mentors
- Teams are welcome to hack through the night!
21st July Sunday (830am ~ 6pm): Here Comes the Champion!
- Continue to hack on till 3pm
- Teams will have to submit their final results/presentations by 3pm
- Final presentations and judging start at 330pm
- Prize presentation and wrap up by 5pm
The biggest prize for our datathon is that one gets to work with brilliant people from a different field, a different school, a different industry or even a different country.
So EVERYONE IS A WINNER!
On top of that, we do acknowledge the teams that achieved the most over the weekend with some prizes: Champion $500, 1st Runner-up $300 and 2nd Runner-up $200.
Originally the brainchild of Silicon Valley, CA, hackathons have proven to be successful models for innovation in business settings and are typically organized as intense, short-duration, competitions in which teams generate innovative solutions. The hackathon model integrates collaboration, idea generation, and group learning by joining various stakeholders in a mutually supportive setting for a limited period of time.
For health data analysis, the goal of the hackathon is to assemble clinical experts, data scientists, statisticians, and those with domain-specific knowledge to create ideas and produce clinically relevant research that reduces or eliminates biases, relies on sound statistical rigor and adequate data samples, and aims to produce replicable results. For that purpose, we have coined the term “datathon” as a portmanteau of data + hackathon, accentuating the application of the hackathon model to data analytics. For example, a critical-care datathon is an event in which participants are brought together to form interdisciplinary teams and answer research questions in the field of critical (that is, intensive) care.