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Country of departure:

TRAME considers “country of departure” to be the North African or Middle Eastern country where the interviewee lived for most of their life before arriving in Italy, in accordance with the archival criteria adopted by the CDEC.

Country of birth:

Year of birth:

Age at arrival in Italy: years old

He leaves the country of origin for reasons

The arrival in Italy did not involve intermediate stops

He arrives in Italy with family members

The map follows the movements of the interviewee, ending the year after their arrival in Italy

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How to read the data portraits
The data represented in the portraits include gender, age at arrival in Italy, decade of arrival in Italy, country of origin, reasons for departure, whether the journey included stops or was direct, and whether the person traveled alone or with family.

Gender and age at arrival in Italy

Female, age 0-9

Female, age 10-19

Female, age 20-29

Female, age 30-39

Female, age 40-49

Female, age 50-59

Female, age 60-69

Female, age 70-79

Female, age 80-89

Female, age 90-99

Male, ages 0-9

Male, ages 10-19

Male, age 20-29

Male, age 30-39

Male, age 40-49

Male, age 50-59

Male, age 60-69

Male, age 70-79

Male, age 80-89

Male, age 90-99

Decade of arrival in Italy

1940

1950

1960

1970

1980

Country of origin

Egypt

Iran

Lebanon

Libya

Syria

Tunisia

Reasons for departure from the country of origin

Politics

Economic

Study

Personal

Direct trip to Italy or with one ore more intermediate stops

Direct trip

With one ore more intermediate stops

She/He arrived in Italy alone or with family members

She/He arrived in Italy alone

She/He arrived in Italy with family members

What is a data portrait
A data portrait is a form of artwork that visually represents a specific set of data about an individual, rather than depicting their physical appearance like traditional portraits. Data portraits are subjective renderings that mediate between the artist’s vision, the subject’s data, and the audience’s interest (Donath et al., 2010).
Following this concept, the data portraits designed by Sara Radice specifically for the project TRAME allow for an understanding of a person through various data points, enhancing the viewer’s understanding of the subject beyond their physical appearance.

References and credits
Judith Donath, Alex Dragulescu, Aaron Zinman, Fernanda Viégas, Rebecca Xiong; Data Portraits. Leonardo 2010; 43 (4): 375-383. doi: https://doi.org/10.1162/LEON_a_00011.

The data portraits designed for this project draw inspiration from the data portraits projects designed by Giorgia Lupi, such as the physical installation “…Ma poi, che cos’è un nome?” for the CDEC Foundation at the Milan Triennale Museum in 2018 and the TED Data Portraits in 2017.

How to read the data portraits
The data represented in the portraits include gender, age at arrival in Italy, decade of arrival in Italy, country of origin, reasons for departure, whether the journey included stops or was direct, and whether the person traveled alone or with family.

Gender and age at arrival in Italy

Female, age 0-9

Female, age 10-19

Female, age 20-29

Female, age 30-39

Female, age 40-49

Female, age 50-59

Female, age 60-69

Female, age 70-79

Female, age 80-89

Female, age 90-99

Male, ages 0-9

Male, ages 10-19

Male, age 20-29

Male, age 30-39

Male, age 40-49

Male, age 50-59

Male, age 60-69

Male, age 70-79

Male, age 80-89

Male, age 90-99

Decade of arrival in Italy

1940

1950

1960

1970

1980

Country of origin

Egypt

Iran

Lebanon

Libya

Syria

Tunisia

Reasons for departure from the country of origin

Politics

Economic

Study

Personal

Direct trip to Italy or with one ore more intermediate stops

Direct trip

With one ore more intermediate stops

She/He arrived in Italy alone or with family members

She/He arrived in Italy alone

She/He arrived in Italy with family members

What is a data portrait
A data portrait is a form of artwork that visually represents a specific set of data about an individual, rather than depicting their physical appearance like traditional portraits. Data portraits are subjective renderings that mediate between the artist’s vision, the subject’s data, and the audience’s interest (Donath et al., 2010).
Following this concept, the data portraits designed by Sara Radice specifically for the project TRAME allow for an understanding of a person through various data points, enhancing the viewer’s understanding of the subject beyond their physical appearance.

References and credits
Judith Donath, Alex Dragulescu, Aaron Zinman, Fernanda Viégas, Rebecca Xiong; Data Portraits. Leonardo 2010; 43 (4): 375-383. doi: https://doi.org/10.1162/LEON_a_00011.

The data portraits designed for this project draw inspiration from the data portraits projects designed by Giorgia Lupi, such as the physical installation “…Ma poi, che cos’è un nome?” for the CDEC Foundation at the Milan Triennale Museum in 2018 and the TED Data Portraits in 2017.