WiDS Datathon 2021 

This year’s datathon, organized by the WiDS Worldwide team, the West Big Data Innovation Hub, and the WiDS Datathon Committee, focused on models to determine whether a patient admitted to an Intensive Care Unit (ICU) has been diagnosed with a particular type of diabetes. The WiDS Datathon had record-breaking participation, with 1,773 individuals on the leaderboard, 24,479 entries, and nearly 4,000 registrants — forming hundreds of teams to analyze hospital patient health records. 
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Congratulations to the WiDS Datathon 2021 winners!
1st Place: Dihydrogen Oxide from USA 
2nd Place: EPFL from Switzerland
3rd Place: .IL from Israel

The WiDS Datathon is a 100% community driven challenge, where participants get experience and trainings from partners, ambassadors and data enthusiasts in social impact challenges. See how it has evolved in the last four years.​

Excellence in Research Award

WiDS Datathon Phase 2 is now open! If you participated in the WiDS Datathon Phase 1 on Kaggle, we invite you to share more details about your work with WiDS Datathon 2021 data through a research paper of up to 3 pages. Submissions for the WiDS Datathon Excellence in Research Award are open March 9 - April 30, 2021.

Learn more

​Background: This Year's Dataset and Challenge

We will take a closer look at the WiDS 2020 Datathon data from MIT’s GOSSIS (Global Open Source Severity of Illness Score) dataset, but instead of predicting patient survival, this year the WiDS Datathon will focus on creating models to classify whether patients have been diagnosed with a certain type of diabetes which could inform treatment in the ICU.

The WiDS Datathon is hosted on Kaggle, an online community of data scientists. If you haven’t participated in Kaggle competitions before, check them out here — the platform has a ton of complex challenges with real-world impact and starter datasets for learning data science basics.

Who Can Participate in the Datathon

Photo credit: Dana J. Quigley

We invite anyone from those new to data science to veterans of the field to participate. For those who have never tried machine learning, we have a series of guides to help you get started with the algorithms and dataset.

The WiDS Datathon inspires women worldwide to learn more about data science, and to create a supportive environment for women to connect with others in their community who share their interests. Toward these ends, we open the datathon to individuals or teams of up to 4; at least half of each team must be women (people identifying as female).

Participants can be students, faculty, government workers, members of NGOs, or industry members.

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Join the WiDS Datathon mailing list to receive datathon news and announcements.

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​The WiDS Datathon is a collaboration led by the WiDS Worldwide team at Stanford University, the West Big Data Innovation Hub, and the WiDS Datathon committee:

​​The WiDS Datathon is made possible by the following
WiDS Global Visionary Sponsors: