WiDS Datathon 2022 HighlightsThe 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 past fours years and an insight on the 2022 challenge that was focused on climate change. |
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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, tackled a key way to mitigate the effects of climate change with a focus on energy efficiency. The WiDS Datathon Committee partnered 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 analyzed regional differences in building energy efficiency, creating models to predict building energy consumption.
WiDS Datathon Excellence in Research AwardIn the Excellence in Research Award (Phase II), we will broaden our focus to examine the impacts of climate change across multiple domains. Participants in Phase II will have the opportunity to choose to explore one dataset among several, spanning sectors including healthcare, energy and environmental protection.
Open March 8 - June 30, 2022. |
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Background: How it Works and Who Can Participate
The WiDS Datathon Phase I was 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 is accessible to both beginners and experienced participants. We released a series of resources to help you get started with the algorithms and dataset. Many WiDS ambassadors hosted datathon workshops, where participants were 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. You can form your teams directly on Kaggle.
The dataset and challenge is accessible to both beginners and experienced participants. We released a series of resources to help you get started with the algorithms and dataset. Many WiDS ambassadors hosted datathon workshops, where participants were 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. You can form your teams directly on Kaggle.
WiDS Datathon Winners share their results and tell their stories:
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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:
