Exploring ways to collaborate with AI in addressing challenges in digital crowdsourced heritage projects

This study aims to explore ways to collaborate with AI to address challenges in digital crowdsourced heritage projects. To identify challenges and find out potential ways for collaboration with AI, all stakeholders and their process need to be understood well. Therefore, extensive user research is done including interviews with librarians based in cultural institutions and with individual organisers who take part in organising digital crowdsourced projects, an online questionnaire and focus group research with contributors to crowdsourced heritage projects. An in-depth exploration of the process of digital crowdsourced heritage projects is conducted both by cultural institutions and by individual organisers via online interviews. Current issues such as sustainability, content-related challenges (quality, relevance, verification, metadata), and contributors’ motivation. Online questionnaire and focus group research with contributors to digital crowdsourced heritage projects help me understand their behaviours and motivations for participating in such projects, the challenges they face while contributing, and the activities they would like AI support for. This poster aims to present the outcomes and analysis of all the interviews, the onlinequestionnaire, and the focus group study, identifying the problem areas and suggesting and outlining intended collaboration with AI to address these challenges.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-18
DOI
https://doi.org/10.5281/zenodo.21993618
Primary Topic
Open Source Software Innovations
Type
article
Field-Weighted Citation Impact
0.00
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article

Exploring ways to collaborate with AI in addressing challenges in digital crowdsourced heritage projects

Pιnar Yelmi
Zenodo (CERN European Organization for Nuclear Research)
Open Source Software Innovations
article

Exploring ways to collaborate with AI in addressing challenges in digital crowdsourced heritage projects

Pιnar Yelmi
article en

Abstract

This study aims to explore ways to collaborate with AI to address challenges in digital crowdsourced heritage projects. To identify challenges and find out potential ways for collaboration with AI, all stakeholders and their process need to be understood well. Therefore, extensive user research is done including interviews with librarians based in cultural institutions and with individual organisers who take part in organising digital crowdsourced projects, an online questionnaire and focus group research with contributors to crowdsourced heritage projects. An in-depth exploration of the process of digital crowdsourced heritage projects is conducted both by cultural institutions and by individual organisers via online interviews. Current issues such as sustainability, content-related challenges (quality, relevance, verification, metadata), and contributors’ motivation. Online questionnaire and focus group research with contributors to digital crowdsourced heritage projects help me understand their behaviours and motivations for participating in such projects, the challenges they face while contributing, and the activities they would like AI support for. This poster aims to present the outcomes and analysis of all the interviews, the onlinequestionnaire, and the focus group study, identifying the problem areas and suggesting and outlining intended collaboration with AI to address these challenges.

Zenodo (CERN European Organization for Nuclear Research)
University of Leeds (GB)
Openalex Percentile: Top 4%
Open Source Software Innovations
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Exploring ways to collaborate with AI in addressing challenges in digital crowdsourced heritage projects — Pιnar Yelmi · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS