WiDS Datathon 2020
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The WiDS Datathon 2020 will focus on health data, highlighting the importance of data ethics and privacy. Further details, including when the data, guidelines, and prizes will be published on Kaggle will be sent out via email, Slack, and on social media. Join the WiDS Datathon mailing list to be kept up-to-date.
The WiDS Datathon 2019 featured an image classification challenge, asking participants to predict if there is an oil palm plantation in each chip of the image. WiDS ambassadors held datathon events in multiple locations in order to form teams, and mentor participants. In all, more than 200 teams participated, with winners hailing from 6 countries over three continents. WiDS Datathon 2019 winners (below) were announced at WiDS Stanford on March 4, 2019.
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What is a Datathon?A datathon is a data-focused hackathon — given a dataset and a limited amount of time, participants are challenged to use their creativity and data science skills to build, test, and explore solutions. Try something new, apply what you know, learn from other participants, and improve your data science skills along the way!
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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 or worked with satellite data before, we will release a series of guides to help you get started with the algorithms and dataset.
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. Toward these ends, we open the datathon to individuals or teams of up to 4, at least half of each team must be women (individuals identifying as female). Participants can be students, faculty, government workers, members of NGOs, or industry members.
The WiDS Datathon 2020 will feature a healthcare dataset. To receive notification of the challenge, subscribe to the WiDS Datathon list.
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. Toward these ends, we open the datathon to individuals or teams of up to 4, at least half of each team must be women (individuals identifying as female). Participants can be students, faculty, government workers, members of NGOs, or industry members.
The WiDS Datathon 2020 will feature a healthcare dataset. To receive notification of the challenge, subscribe to the WiDS Datathon list.
The WiDS Datathon 2019 was a collaboration led by the Global WiDS team at Stanford, the West Big Data Innovation Hub, and the WiDS Datathon committee:
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The WiDS Datathon is made possible by the following
WiDS Global Visionary Sponsors:
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