Cara Catastrofe

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Videocittà
2023

Cara Catastrofe

A data—driven video mapping

Cara Catastrofe is a project about the fascination that disasters and catastrophes have and the macabre attraction we feel towards these phenomena. With objective and subjective data, the artwork represents how the concept of the future has gone from positive science fiction imagery to a catastrophic and apocalyptic one. And how people got used to these scenarios day after day.

 

The data–driven video was projected on the wall of the “Alto Forno” of the former Gazometro in Rome during Videocittà 2023, the festival of digital vision and culture, within the collective exhibition “Futura”, together with studios and designers from around the world and behind the stage where various artists played, including The Blaze and Dixon.
The soundtrack was recorded by Tommaso Marconi with an edit of “high’n’bike” a track from his latest album “Pretend to be Human”

 

Typeface: GT Pressura by Grilli Type
Year: 2023
Client: Videocittà Festival
Photography: Giulia Volino

Analyzing the subject

 

 

 

 

Some images and data from our research
about disasters in the last 100 years.

A data–driven video mapping

 

 

 

 

 

The artwork is made of 4 layers, each representing different data.
Data were collected, selected 
and organized by clusters to compare the topics.

Layer 1 → Data about events

 

 

 

 

The alteration of the typography is made by data about intensity and duration. The intensity is calculated each time on a specific disaster.
The background color defines the origin of the event.

Layer 2 → Layout

 

 

 

 

 

The whole artwork has been divided into a grid that allows to compare multiple events within the same category at the same time.

Layer 3 → Data about media

 

 

 

 

A selection of comments and headlines from italian and international social media (such as Facebook or Reddit) and newspapers

Layer 4 → Data about social impacts

 

 

 

 

The black shapes expanding from the windows of the structure to the whole stage represent data about the victims

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