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How to Data in Datathons

Carlos Mougan · Richard Plant · Clare Teng · Marya Bazzi · Alvaro Cabrejas Egea · Ryan Chan · David Salvador Jasin · Martin Stoffel · Kirstie Whitaker · JULES MANSER

Great Hall & Hall B1+B2 (level 1) #406
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[ Paper [ Poster [ OpenReview
Thu 14 Dec 3 p.m. PST — 5 p.m. PST


The rise of datathons, also known as data or data science hackathons, has provided a platform to collaborate, learn, and innovate quickly. 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 a guide that serves as a resource for organizers to navigate the data-related complexities of datathons. We apply our proposed framework to 10 case studies.

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