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 was created in collaboration with Climate Change AI (CCAI). WiDS participants will submit forecasts of temperature and precipitation for a short term forecast, competing against the other teams as well as official forecasts from NOAA.
WiDS Datathon 2023 Climate Change WebinarIn this panel discussion, we speak with experts in a wide range of domains and institutions in order to explore the multi-faceted challenges posed by climate change. Not only do we aim to glimpse at how climate change impacts sectors spanning healthcare, energy and environmental protection, we will hear from our panel how data science can help us understand and mitigate the effects of climate change. This webinar is appropriate for audiences of all backgrounds – no prior familiarity with data science is assumed.
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How it Works and Who Can Participate
The WiDS Datathon is now closed.
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.
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.
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. We will send you a direct link to the Kaggle page.
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Set up your Kaggle accountSet up your account on Kaggle, and review the datathon details, timeline, and FAQ on the WiDS Datathon Kaggle page.
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Connect with datathon participantsForm a team with new collaborators by connecting with datathon participants on the WiDS Datathon Slack, at team building events, and local datathon workshops.
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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:
Made possible by the WiDS Global Visionary Sponsors:
Made possible by the WiDS Global Visionary Sponsors:
