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Hackathons in Statistics and Data Science Education and Experiences from ASA DataFest.

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Title: Hackathons in Statistics and Data Science Education and Experiences from ASA DataFest.
Authors: Sharifi Far, Serveh1 (AUTHOR) serveh.sharifi@ed.ac.uk, Inácio, Vanda1 (AUTHOR), Evkaya, Ozan1 (AUTHOR), Lenzi, Amanda1 (AUTHOR)
Source: Teaching Statistics. 2026 Supplement 1, Vol. 48, pS13-S21. 9p.
Subject Terms: *Science education, *Active learning, Hackathons, Statistics, Data visualization, Teamwork (Sports), Data scrubbing
Company/Entity: American Statistical Association
Abstract: Data hackathons provide a platform for students to work with real and challenging data, allowing them to practice both technical and transferable skills, such as data wrangling, visualization, modeling, effective communication, and teamwork. This level of active learning is difficult to achieve in a typical classroom setting. In this article, we discuss the role and importance of hackathons in statistics and data science education. We also detail our experience as, to our knowledge, the only institution in the UK to have organized the ASA DataFest hackathon. We believe this contribution will interest colleagues who would like to organize an ASA DataFest or a similar event in their institutions. [ABSTRACT FROM AUTHOR]
Copyright of Teaching Statistics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: <searchLink fieldCode="JN" term="%22Teaching+Statistics%22">Teaching Statistics</searchLink>. 2026 Supplement 1, Vol. 48, pS13-S21. 9p.
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  Data: Data hackathons provide a platform for students to work with real and challenging data, allowing them to practice both technical and transferable skills, such as data wrangling, visualization, modeling, effective communication, and teamwork. This level of active learning is difficult to achieve in a typical classroom setting. In this article, we discuss the role and importance of hackathons in statistics and data science education. We also detail our experience as, to our knowledge, the only institution in the UK to have organized the ASA DataFest hackathon. We believe this contribution will interest colleagues who would like to organize an ASA DataFest or a similar event in their institutions. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Teaching Statistics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Text: English
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      – SubjectFull: Hackathons
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              Text: 2026 Supplement 1
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              Y: 2026
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