WiDS Datathon Highlights

​The WiDS Datathon is an initiative to provide a platform for data science enthusiast to learn, apply and hone their data science skills through the social impact challenges presented to them. Participants are trained and mentored by partners, ambassadors, and data enthusiasts. In this short video, watch how the WiDS Datathon has evolved over the years.

WiDS Datathon 2023 Challenge:
Adapting to Climate Change by Improving Extreme Weather Forecasts

This year’s datathon will focus on longer-term weather forecasting to help communities adapt to extreme weather events caused by climate change. The dataset for Phase I was created in collaboration with Climate Change AI (CCAI). In Phase I, WiDS participants will submit forecasts of temperature and precipitation for one year, competing against the other teams as well as official forecasts from NOAA. 

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How it Works and Who Can Participate

The WiDS Datathon Phase I will be open January - March 2023. Phase II will be open March - June 2023.

The dataset and challenge is accessible to both beginners and experienced participants. For those who have never tried machine learning, we will provide a series of guides to help you get started with the algorithms and dataset. We will also host a series of team building activities as well as a WiDS Datathon slack channel to connect with participants, worldwide. Many WiDS ambassadors will host datathon workshops, where participants will be able to receive mentorship, form teams, and hone their data science skills. 

The WiDS Datathon is open to individuals or teams of up to 4; at least half of each team must be individuals who identify as women. Participants can be students, faculty, government workers, members of NGOs, or industry members. Register now.

Data Science Exploration Challenge:
​Take a deeper dive into the data

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In the Data Science Exploration Challenge (Phase II), we will broaden our focus to examine the impacts of climate change across multiple domains. In particular, participants will have the opportunity to examine how predictive models can be integrated into important decision systems in sectors including healthcare, energy and environmental protection. Teams will submit a blog post describing their findings.

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WiDS Datathon Impact

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Getting Started

Make plans to join us for the WiDS Datathon 2023:

Sign up!

Register now to participate in the WiDS Datathon challenge.

Set up your Kaggle account

Set up your account on Kaggle, so you'll be ready to go when the competition opens in January.

Form a team

Form a team with new collaborators by connecting with datathon participants at team building events, and local datathon workshops. 

Register Now

Host a datathon workshop to bring the WiDS Datathon 2023 to your cohort, colleagues, or community.

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​The WiDS Datathon is a collaboration led by the WiDS Worldwide team at Stanford University,
WiDS Datathon Collaborators, and the WiDS Datathon committee:

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​Made possible by the WiDS Global Visionary Sponsors: