Data Science Exploration Challenge:
Take a deeper dive into the data
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In the Data Science Exploration Challenge, 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. Not only will participants take deeper dives into data-driven decision-making, they will be challenged to examine the potential biases and ethical implications of their modeling decisions.
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Teams will submit a blog post describing their findings at the end of Phase II. Submissions recognized by domain experts, as well as the wider WiDS community, as outstanding in analysis, creativity, impact and communication will be awarded.
Participants in Phase II will receive mentorship from experts in the domain related to their choice of dataset and task. Domain expert mentorship in Phase II will allow participants to both strengthen their foundational data science skills as well as develop skills needed to solve real-life problems using data science.
To be eligible for the award, all entrants must have participated in the first phase of the WiDS Datathon 2022 on Kaggle.
Submissions will be reviewed for their potential for real-world impact, rigor in scientific methodology, and clarity of communication, by subject matter experts from the WiDS Datathon Committee, the National Science Foundation Big Data Innovation Hubs, and Datathon partners.
Participants in Phase II will receive mentorship from experts in the domain related to their choice of dataset and task. Domain expert mentorship in Phase II will allow participants to both strengthen their foundational data science skills as well as develop skills needed to solve real-life problems using data science.
To be eligible for the award, all entrants must have participated in the first phase of the WiDS Datathon 2022 on Kaggle.
Submissions will be reviewed for their potential for real-world impact, rigor in scientific methodology, and clarity of communication, by subject matter experts from the WiDS Datathon Committee, the National Science Foundation Big Data Innovation Hubs, and Datathon partners.
Partners and Dataset Topics: coming soon
Prizes
$13,000 Kaggle cash will be distributed across blog posts determined by “Popular Votes” on Medium.com and honorary mentions. All winners will be announced on the WiDS website and on WiDS social media channels. Winners might also be selected to share their WiDStory.