Creating Sustainable Solutions: An Inclusive Hackathon Leveraging GenAI in a Local Context

This paper presents the design and implementation of a two-week hackathon at a large prestigious UK university, focused on creating sustainable solutions leveraging generative artificial intelligence (genAI). The hackathon deviated from the traditional one to three-day format, providing an extended period for ideation, development, and public voting. The event aimed to foster innovation, engage the local community in sustainability efforts, and augment participants' problem-solving capabilities through the use of genAI. The hackathon incorporated inclusivity measures based on evidence-based recommendations, ensuring diverse participation and a supportive environment. The participants could choose from four challenges to create a solution around that were based on local sustainability issues: housing regeneration, promoting sustainable and active travel, revitalizing the city center, and increasing re-naturing within the city. Teams were formed using a mix of self-selection and pre-assignment. Participants had access to comprehensive resources, including workshops on jupyter notebooks, genAI, video creation, and support from mentors. The final outputs each team was expected to produce was a 90 second video that detailed the challenge, their proposed solution, how they used open data, how they used genAI either in their solution or in their work process, as well as any files required for their solution to run/compile. The video was also to be used for the public vote, to decide the people's choice award, and hence could be promotional in nature but everyone in the team had to contribute to it in a meaningful way. Thus, they do not have to appear in it but could write a script or edit, etc. Judging criteria focused on the quality of the presentation, creativity, effective use of open data, and engagement with genAI. The event concluded with awards for the most polished solution, most creative idea, best use of open data, best use of genAI, best overall, and a people's choice award decided by a public vote. This paper contributes to the body of knowledge on leveraging genAI for sustainability and offers insights into develoning inclusive and impactful hackathons.

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Publication Details

Published
2025-04-22
DOI
https://doi.org/10.1109/educon62633.2025.11016553
Citations
1
Primary Topic
Biomedical and Engineering Education
Type
article
Field-Weighted Citation Impact
0.67
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Creating Sustainable Solutions: An Inclusive Hackathon Leveraging GenAI in a Local Context

Darryl Stewart, Stephen McKeever, Maria Angela Ferrario, Ian O'Neill et al.
1 citations
Biomedical and Engineering Education
0.67
article

Creating Sustainable Solutions: An Inclusive Hackathon Leveraging GenAI in a Local Context

Darryl Stewart, Stephen McKeever, Maria Angela Ferrario, Ian O'Neill, Jonathan W. Browning
article en
1 citations

Abstract

This paper presents the design and implementation of a two-week hackathon at a large prestigious UK university, focused on creating sustainable solutions leveraging generative artificial intelligence (genAI). The hackathon deviated from the traditional one to three-day format, providing an extended period for ideation, development, and public voting. The event aimed to foster innovation, engage the local community in sustainability efforts, and augment participants' problem-solving capabilities through the use of genAI. The hackathon incorporated inclusivity measures based on evidence-based recommendations, ensuring diverse participation and a supportive environment. The participants could choose from four challenges to create a solution around that were based on local sustainability issues: housing regeneration, promoting sustainable and active travel, revitalizing the city center, and increasing re-naturing within the city. Teams were formed using a mix of self-selection and pre-assignment. Participants had access to comprehensive resources, including workshops on jupyter notebooks, genAI, video creation, and support from mentors. The final outputs each team was expected to produce was a 90 second video that detailed the challenge, their proposed solution, how they used open data, how they used genAI either in their solution or in their work process, as well as any files required for their solution to run/compile. The video was also to be used for the public vote, to decide the people's choice award, and hence could be promotional in nature but everyone in the team had to contribute to it in a meaningful way. Thus, they do not have to appear in it but could write a script or edit, etc. Judging criteria focused on the quality of the presentation, creativity, effective use of open data, and engagement with genAI. The event concluded with awards for the most polished solution, most creative idea, best use of open data, best use of genAI, best overall, and a people's choice award decided by a public vote. This paper contributes to the body of knowledge on leveraging genAI for sustainability and offers insights into develoning inclusive and impactful hackathons.

Queen's University Belfast (GB)
Responsible consumption and production
Openalex Percentile: Top 31%
Biomedical and Engineering Education
0.67
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