Participate! Deadline to enter: February 24
Time is running out! Friday February 21st Friday is the team merger deadline, and Monday February 24th is the last day to enter the competition and submit your entries for the Women in Data Science (WiDS) Datathon 2020 - This year the contest is focused on patient health, with data from MIT’s GOSSIS (Global Open Source Severity of Illness Score) initiative.
The WiDS Datathon is hosted on Kaggle, an online community of data scientists and machine learners. The winners will be determined by the leaderboard on the Kaggle platform at the time the Datathon closes February 24. Winners will be announced March 2 at the
WiDS Conference at Stanford University and via
livestreamThe Datathon is open to individuals or teams of up to 4. At least half of each team must be women (individuals identifying as female participants). As of Feb 17, there were 522 Teams from over 75 countries.
WiDS Datathon, Phase 2: Excellence in Research Award
And if you are a datathon eligible team or individual, and have submitted predictions (just one by February 24, 2020 is enough) to the WiDS Datathon, you can write a one page research paper and submit it by March 31, 2020 for the brand new WiDS Excellence in Research Award. And where you are in the datathon leaderboard does not affect the way your research paper is assessed!
This award was set up by the
WiDS Datathon Committee and the
National Science Foundation Big Data Innovation Hubs to help encourage deeper exploration and collaborative data science innovations.
Why should I participate?
Feedback we received from participants at a recent datathon on-boarding session in Bengalaru includes:
- “Before coming to the WiDS 2020 Bengaluru datathon workshop, I was not sure if I would be able to participate in a Kaggle competition. After meeting and hearing the women at the workshop, I felt motivated to try my hand at it. All the speakers and mentors were so encouraging that by the end of the day, I registered for the competition and got started with the Datathon. I suppose the workshop was the “nudge” I needed to get started. Thank You! WiDS Bengaluru ambassadors and organizers.” — Preeti Ravikiran
And here is some feedback we received from WiDS datathon participants in prior years::
- “Just do it. Don't be afraid to explore and try it out. It's a great learning experience.”
- “I think you can gain something from the exercise no matter what level of capability, or time commitment you have to give. The learning will likely be commensurate with the amount of effort you are able to give to the task, but even if you have very little time, or lack of experience, you can still get something.”
So just do it!
Learn more about the WiDS Datathon:
→ You can also find it on Kaggle
→ Sign up to the datathon now to participate.
→ Find out more about the WiDS Datathon Excellence in Research Award
Srujana Kaddevarmuth (Walmart Labs) and Susan Malaika (IBM) - WiDS Datathon Committee Members
Photo taken by Susan Malaika at WiDS Rabat 2019 - Led by Lamia Benhiba
@#$%&!
#GlobalAIandDataScience#GlobalDataScience#Highlights-home