The WiDS Datathon aims to inspire 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. |
Using Data Science to Mitigate Climate Change
This year’s WiDS Datathon, organized by the WiDS Worldwide team, Harvard University IACS, and the WiDS Datathon Committee, will tackle a key way to mitigate the effects of climate change with a focus on energy efficiency. The WiDS Datathon Committee is partnering with experts from many disciplines at Climate Change AI, Lawrence Berkeley National Laboratory (Berkeley Lab), US Environmental Protection Agency (EPA), and MIT Critical Data. WiDS Datathon participants will analyze regional differences in building energy efficiency, creating models to predict building energy consumption.
WiDS Datathon 2021 Impact
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Upcoming Datathon Events:
In 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 open from January 6 - February 26 on Kaggle, an online community of data scientists. See the full datathon details and timeline.
The dataset and challenge will be accessible to both beginners and experienced participants. We will be releasing a series of resources to help you get started with the algorithms and dataset. Many WiDS ambassadors will also host datathon workshops, where participants will be able to receive mentorship, form teams, and hone their data science skills.
The WiDS Datathon will be 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. You can form your teams on Kaggle.
The dataset and challenge will be accessible to both beginners and experienced participants. We will be releasing a series of resources to help you get started with the algorithms and dataset. Many WiDS ambassadors will also host datathon workshops, where participants will be able to receive mentorship, form teams, and hone their data science skills.
The WiDS Datathon will be 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. You can form your teams on Kaggle.
Getting Started
Make your plans to join us in this year's WiDS Datathon!
RegisterSign up now to participate. We will send you the link to download the dataset on Kaggle.
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Create your Kaggle AccountSet up your account on Kaggle.
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ConnectForm a team with collaborators on the Kaggle forums or through WiDS Datathon workshops.
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The WiDS Datathon is a collaboration led by the WiDS Worldwide team at Stanford University, WiDS Datathon Partners, and the WiDS Datathon committee. Made possible by the WiDS Global Visionary Sponsors:
