How to Data in Datathons

Carlos Mougan, Richard Plant, Clare Teng, Marya Bazzi, Alvaro Cabrejas-Egea, Ryan Sze-Yin Chan, David Salvador Jasin, martin stoffel, Kirstie Jane Whitaker, JULES MANSER

Keywords: datathon, hackathon, data, data framework

TL;DR: We provide a data analysis framework for data in datathons

Abstract: 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.

Submission Number: 197