Serena Iervolino
Dados Biográficos
| ID | 3080992 |
|---|---|
| NOME | Serena Iervolino |
| PRENOMES | Serena |
| SOBRENOME | Iervolino |
| ASSINATURA | IERVOLINO S |
| AFILIAÇÕES | Culture, Media and Creative Industries, King’s College London, London, UK |
| ORCID | 0000-0002-2745-4139 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 3 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 3 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2023 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2025 |
| ÍNDICE H | 0 |
Curating AI-driven Art
Artificial intelligence has recently captured the attention of museums and galleries, being increasingly integrated across their activities, including curating. As many artists adopt AI, particularly machine learning, as both a creative tool and subject matter, institutions have had to adapt their curatorial practices to support machine learning projects and present AI-based work to their audiences. But how is AI art reshaping the art ecosystem? …
We Need to Talk about Class
Class differences have historically received limited attention in museum theory and practice, and scholarly publications on issues of class and heritage are still scarce. COVID-19 has shone a particularly harsh light on class divisions. At the height of the pandemic, working-class laborers (such as supermarket cashiers, social care workers, truck and delivery drivers) were asked to shoulder high levels of health risks, exposing entrenched socioec…
Co-curating with trans people
What are the challenges entangled with co-curatorial processes developed with highly heterogeneous, minoritised communities? Why do these exhibitions, even when co-created with community members, often emphasize community homogeneity over diversity? I address these questions by focusing on the Science Museum, London. I look back at a past project, What Makes Your Gender? (2014): a pivotal step in the Museum's treatment of gender diversity co-cura…
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We Need to Talk about Class
Class differences have historically received limited attention in museum theory and practice, and scholarly publications on issues of class and heritage are still scarce. COVID-19 has shone a particularly harsh light on class divisions. At the height of the pandemic, working-class laborers (such as supermarket cashiers, social care workers, truck and delivery drivers) were asked to shoulder high levels of health risks, exposing entrenched socioec…
Co-curating with trans people
What are the challenges entangled with co-curatorial processes developed with highly heterogeneous, minoritised communities? Why do these exhibitions, even when co-created with community members, often emphasize community homogeneity over diversity? I address these questions by focusing on the Science Museum, London. I look back at a past project, What Makes Your Gender? (2014): a pivotal step in the Museum's treatment of gender diversity co-cura…
Curating AI-driven Art
Artificial intelligence has recently captured the attention of museums and galleries, being increasingly integrated across their activities, including curating. As many artists adopt AI, particularly machine learning, as both a creative tool and subject matter, institutions have had to adapt their curatorial practices to support machine learning projects and present AI-based work to their audiences. But how is AI art reshaping the art ecosystem? …
Cultural Industries and Urban Development (2 obras) · Law (2 obras) · Media studies (2 obras) · Political science (2 obras) · Public relations (2 obras) · Sociology (2 obras) · African Sexualities and LGBTQ+ Issues (1 obras) · Anthropology (1 obras) · Art (1 obras) · Class (philosophy (1 obras)