Datathon | Information

GENERAL INFORMATION
Dates

Registration deadline 25th Nov.

2 Dec 630PM Datathon Opening @ UCC, NUS (Dinner provided)

3-4 Dec Hack on @ MD1, Level 8, NUS (Lunch, dinner, coffee and tea provided)

4 Dec 430PM, Closing @ MD1 Level 8 NUS (Lunch, coffee and tea provided)

*Registration closed!!

Location

National University of Singapore, Saw Swee Hock School of Public Health, 
Tahir Foundation Building (MD1), 12 Science Drive 2, Singapore 117549

Hybrid Event

In 2022, the Datathon will be a hybrid event. Teams in Singapore will attend the event physically at the location above. International teams will participate remotely. 

Prices

On-site participants: FREE but S$50 deposit per participant (will be refunded upon completion of datathon and online booking fee applies)

Virtual teams: FREE  but S$50 deposit per team  (will be refunded upon completion of datathon and online booking fee applies)

PRIZES

Teams in Singapore

Champion

1 team
S$2,000 in cash

First Runner-Ups

2 teams
S$1,000 each in cash

Second Runner-Ups

3 teams
S$500 each in cash

International (Online) Teams

Champion

1 team
S$2,000 in cash

First Runner-Ups

2 teams
S$1,000 each in cash

Second Runner-Ups

3 teams
S$500 each in cash

REFERENCES
Problem Statement (Abstract) Guidelines

Abstract submission: 1 Sep 2022 – 15 Nov 2022
Abstract selection: 15 Nov 2022 – 25 Nov 2022

Team leaders (clinical or data expert) can submit abstracts as an individual or as part of a team. 

  • Individual team leaders whose abstracts are selected will be matched with registered data scientists on 2 Dec 2022 to form teams. Please note that you should still apply to gain access to datasets prior to 2 Dec 2022. 
  • Teams should not reuse project problem statements that they have previously published or have already been working on for a long time, but instead to propose new problem statements for the Datathon. A declaration will be required during submission to assert the above. 
All abstracts will be reviewed by our scientific mentor panel, who will evaluate abstracts based on the novelty and impact of the proposed problem statement.