The AquaGranda digital community memory: activating awareness about climate risk

Marco Paladini, Carlo Santagiustina, Costanza Sartoris, Giulia Saya, Michele Schiavinato and Gabriella Traviglia
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Marco Paladini: University of Ca’ Foscari [Venice, Italy]
Costanza Sartoris: University of Ca’ Foscari [Venice, Italy]
Giulia Saya: DVRI - Distretto Veneziano Ricerca e Innovazione
Michele Schiavinato: University of Ca’ Foscari [Venice, Italy]
Gabriella Traviglia: DVRI - Distretto Veneziano Ricerca e Innovazione

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Abstract: This study aims to explore how vulnerable communities, scientists and artists can collaborate to construct digital community memories to excavate opinion spaces related to socio-natural events, creating a shared and inclusive ground for mutual understanding and collective action. The proposed approach combines web archeology and digital artivism to construct community memories that can be used for social activation in relation to climate change. The research draws on partici-patory and community-based research techniques, citizen-science approaches, and digital methods to collect dispersed community-memory fragments and create an expressive space for the diverse perspectives and needs of the affected populations. It emphasizes the importance of inclusivity and non-polarizing approaches for reconstructing and interpreting narrative streams that propagate in the physical and virtual world and for representing, through digital art, extreme events and their societal impact. To illustrate the proposed approach, the AquaGranda project is presented here as a case study of community memory related to an extreme event: the high tides that occurred in Venice in November 2019.

Keywords: Artivism; Digital communities; Climate change; Extreme events; New media; Citizen science; New media art; Extreme event; Digital community; Digital community memory; Citizen Participation; Citizen empowerment; Arts; Activism (search for similar items in EconPapers)
Date: 2024-01-15
Note: View the original document on HAL open archive server: https://hal.science/hal-04921935v1
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Published in Artnodes, 2024, 33, ⟨10.7238/artnodes.v0i33.417840⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04921935

DOI: 10.7238/artnodes.v0i33.417840

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