This article presents a dataset developed under the EU H2020 SPICE (Social Cohesion, Participation, and Inclusion through Cultural Engagement) project. The dataset serves as a tool for identifying and examining communities that emerge from citizens' interactions with cultural heritage, capturing key representations of individuals and groups to reveal unexpected connections. An example from a SPICE case study at GAM (Galleria Civica d'Arte Moderna e Contemporanea) in Turin, Italy, illustrates the dataset's structure, focusing on the interpretation of artworks, with particular attention to the deaf community's emotional responses. The dataset primarily organizes diverse perspectives, values, and emotions expressed through non-transitive relationships. Initially designed for analyzing narrative identities within museum audiences and communities, the dataset has potential applications in education, social work, and community building.
Developing a Comprehensive Dataset for Enhancing Social Inclusion and Cohesion through Citizen Curation in Cultural Heritage
Striani M.
Membro del Collaboration Group
;Lieto A.Membro del Collaboration Group
;Damiano R.Membro del Collaboration Group
2024-01-01
Abstract
This article presents a dataset developed under the EU H2020 SPICE (Social Cohesion, Participation, and Inclusion through Cultural Engagement) project. The dataset serves as a tool for identifying and examining communities that emerge from citizens' interactions with cultural heritage, capturing key representations of individuals and groups to reveal unexpected connections. An example from a SPICE case study at GAM (Galleria Civica d'Arte Moderna e Contemporanea) in Turin, Italy, illustrates the dataset's structure, focusing on the interpretation of artworks, with particular attention to the deaf community's emotional responses. The dataset primarily organizes diverse perspectives, values, and emotions expressed through non-transitive relationships. Initially designed for analyzing narrative identities within museum audiences and communities, the dataset has potential applications in education, social work, and community building.| File | Dimensione | Formato | |
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