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

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.

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Publication Details

Published
2025-04-24
DOI
https://doi.org/10.1145/3706598.3713447
Citations
1
Primary Topic
Creativity in Education and Neuroscience
Type
article
Field-Weighted Citation Impact
2.12

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

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1 citations
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2.12
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How Do Hackathons Foster Creativity? Towards Automated Evaluation of Creativity at Scale

Jeanette Falk, Johannes Bjerva, Mike Zhang, Yiyi Chen, Alexander Nolte, Janet Frances Rafner
article en
1 citations

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.

Aarhus University (DK), Eindhoven University of Technology (NL), Aalborg University (DK)
Aarhus Universitet, Villum Fonden, Aarhus Universitets Forskningsfond, Carlsbergfondet
Reduced inequalities
Openalex Percentile: Top 15%
Creativity in Education and Neuroscience
2.12
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