- Data, Statistics and AI for Well-Being of People and Organisations
- A cura di Luigi Fabbris, Alberto Franci, Pietro Renzi
Strategies for the future and COVID-19 pandemic experience of young Italians
- Luigi Bollani
- Luigi Fabbris
- © 2026 Author(s) |
- CC BY 4.0
- DOI: 10.36253/979-12-215-1062-1.17
The COVID-19 pandemic was a social shock with so many and long-lasting repercussions that people could have changed their life vision. In particular, the pandemic may have introduced stark warnings about future prospects of young adults. In this paper we analyse two sets of data collected in Italy with two population surveys, one carried out at the official end of the pandemic and another two years later. We aim to assess if the obtained responses showed a shift in people’s attitudes toward their futures and infer a possible short-to-medium trend in Italian young adults’ life strategies. The analysis is based on the responses to a battery of 15 statements related to the value systems of persons and their strategic attitudes about economic, educational, behavioural, environmental, and social issues. The data – analysed also with multivariate statistical techniques – showed that young people, despite the challenging context, tend to remain optimistic about their future prospects, in particular if compared with older adults’ views, and developed peculiar views about their work, career and other life options. From a certain viewpoint, the generation of young adults who crossed the pandemic feels neither like adults nor like adolescents, but shows aspects of each. The analysis showed also differences about strategies for future between social and demographic groups of young adults.
- Keywords:
- Strategic attitudes,
- FTP,
- Social long-Covid,
- Italy,
- Young adults,
University of Turin, Italy - ORCID: 0000-0002-2488-3659
University of Padua, Italy - ORCID: 0000-0001-8657-8361
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Informazioni sul capitolo
Titolo del capitolo
Strategies for the future and COVID-19 pandemic experience of young Italians
Autori
Luigi Bollani, Luigi Fabbris
Lingua
Inglese
DOI
10.36253/979-12-215-1062-1.17
Opera sottoposta a peer review
Anno di pubblicazione
2026
Copyright
© 2026 Author(s)
Licenza d'uso
Licenza dei metadati
Informazioni bibliografiche
Titolo del libro
Data, Statistics and AI for Well-Being of People and Organisations
Curatori
Luigi Fabbris, Alberto Franci, Pietro Renzi
Opera sottoposta a peer review
Numero di pagine
420
Anno di pubblicazione
2026
Copyright
© 2026 Author(s)
Licenza d'uso
Licenza dei metadati
Editore
Firenze University Press
DOI
10.36253/979-12-215-1062-1
ISBN Print
979-12-215-1061-4
eISBN (pdf)
979-12-215-1062-1
eISBN (xml)
979-12-215-1063-8
Collana
Applied Statistics Series