How Do Hackathons Foster Creativity? Towards Automated Evaluation of Creativity at Scale

Jeanette Falk Olesen, Yiyi Chen, Janet Rafner, Mike Zhang, Johannes Bjerva, Alexander Nolte

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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 languageEnglish
Title of host publicationCHI '25
Subtitle of host publicationProceedings of the 2025 CHI Conference on Human Factors in Computing Systems
EditorsNaomi Yamashita, Vanessa Evers, Koji Yatani, Xianghua (Sharon) Ding, Bongshin Lee, Marshini Chetty, Phoebe Toups-Dugas
Place of PublicationNew York
PublisherAssociation for Computing Machinery, Inc.
Number of pages23
ISBN (Electronic)979-8-4007-1394-1
DOIs
Publication statusPublished - 25 Apr 2025
EventACM CHI 2025 Conference on Human Factors in Computing Systems - Yokohama, Japan
Duration: 26 Apr 20251 May 2025
https://chi2025.acm.org/

Conference

ConferenceACM CHI 2025 Conference on Human Factors in Computing Systems
Abbreviated titleCHI2025
Country/TerritoryJapan
CityYokohama
Period26/04/251/05/25
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

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