Abstract
Hackathons have become popular collaborative events for accelerating the development of creative ideas and prototypes. There are several case studies showcasing creative outcomes across domains such as industry, education, and research. However, there are no large-scale studies on creativity in hackathons which can advance theory on how hackathon formats lead to creative outcomes. We conducted a computational analysis of 193,353 hackathon projects. By operationalizing creativity through usefulness and novelty, we refined our dataset to 10,363 projects, allowing us to analyze how participant characteristics, collaboration patterns, and hackathon setups influence the development of creative projects. The contribution of our paper is twofold: We identified means for organizers to foster creativity in hackathons. We also explore the use of large language models (LLMs) to augment the evaluation of creative outcomes and discuss challenges and opportunities of doing this, which has implications for creativity research at large.
Original language | English |
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Title of host publication | CHI '25 |
Subtitle of host publication | Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems |
Editors | Naomi Yamashita, Vanessa Evers, Koji Yatani, Xianghua (Sharon) Ding, Bongshin Lee, Marshini Chetty, Phoebe Toups-Dugas |
Place of Publication | New York |
Publisher | Association for Computing Machinery, Inc. |
Number of pages | 23 |
ISBN (Electronic) | 979-8-4007-1394-1 |
DOIs | |
Publication status | Published - 25 Apr 2025 |
Event | ACM CHI 2025 Conference on Human Factors in Computing Systems - Yokohama, Japan Duration: 26 Apr 2025 → 1 May 2025 https://chi2025.acm.org/ |
Conference
Conference | ACM CHI 2025 Conference on Human Factors in Computing Systems |
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Abbreviated title | CHI2025 |
Country/Territory | Japan |
City | Yokohama |
Period | 26/04/25 → 1/05/25 |
Internet address |
Funding
YC and JB are funded by the Carlsberg Foundation, under the Semper Ardens: Accelerate Programme (project nr. CF21-0454). MZ and JB are funded by the Villum Foundation (project nr. VIL57392). We would further like to thank the Aarhus University Research Foundation and Center for Shaping digital citizenship.
Keywords
- Hackathons
- creativity
- human-centered AI
- large language models
- quantitative methods