How to Data in Datathons
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Abstract (arXiv)
The rise of datathons, also known as data or data science hackathons, has provided a platform to collaborate, learn, and innovate in a short timeframe. Despite their significant potential benefits, organizations often struggle to effectively work with data due to a lack of clear guidelines and best practices for potential issues that might arise. Drawing on our own experiences and insights from organizing >80 datathon challenges with >60 partnership organizations since 2016, we provide guidelines and recommendations that serve as a resource for organizers to navigate the data-related complexities of datathons. We apply our proposed framework to 10 case studies.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 10 of its 79 references that are in the map. First posted on arXiv 18 Sep 2023.
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10 of 79 references.
References · 10
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