Carlos MouganRichard PlantClare TengMarya BazziAlvaro Cabregas EjeaRyan Sze-Yin ChanDavid Salvador JasinMartin StoffelKirstie Jane WhitakerJules Manser
Carlos MouganRichard PlantClare Teng
...+6
Jules Manser
Sep 2023
0被引用
0笔记
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摘要原文
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.
