Measuring objective and subjective well-being: dimensions and data sources

Well-being is an important value for people’s lives, and it could be considered as an index of societal progress. Researchers have suggested two main approaches for the overall measurement of well-being, the objective and the subjective well-being. Both approaches, as well as their relevant dimensio...

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Published inInternational journal of data science and analytics Vol. 11; no. 4; pp. 279 - 309
Main Authors Voukelatou, Vasiliki, Gabrielli, Lorenzo, Miliou, Ioanna, Cresci, Stefano, Sharma, Rajesh, Tesconi, Maurizio, Pappalardo, Luca
Format Journal Article
LanguageEnglish
Published Cham Springer International Publishing 01.05.2021
Subjects
A Social Mining and Big Data Ecosystem for Open
Artificial Intelligence
Business Information Systems
Computational Biology/Bioinformatics
Computer Science
Data Mining and Knowledge Discovery
Database Management
Responsible Data Science
Review
Subjective well-being
Objective well-being
Well-being dimensions
Well-being
Artificial intelligence for social good
Data science for social good
New data sources
Online AccessGet full text
ISSN2364-415X
2364-4168
DOI10.1007/s41060-020-00224-2

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Abstract Well-being is an important value for people’s lives, and it could be considered as an index of societal progress. Researchers have suggested two main approaches for the overall measurement of well-being, the objective and the subjective well-being. Both approaches, as well as their relevant dimensions, have been traditionally captured with surveys. During the last decades, new data sources have been suggested as an alternative or complement to traditional data. This paper aims to present the theoretical background of well-being, by distinguishing between objective and subjective approaches, their relevant dimensions, the new data sources used for their measurement and relevant studies. We also intend to shed light on still barely unexplored dimensions and data sources that could potentially contribute as a key for public policing and social development.
AbstractList Well-being is an important value for people’s lives, and it could be considered as an index of societal progress. Researchers have suggested two main approaches for the overall measurement of well-being, the objective and the subjective well-being. Both approaches, as well as their relevant dimensions, have been traditionally captured with surveys. During the last decades, new data sources have been suggested as an alternative or complement to traditional data. This paper aims to present the theoretical background of well-being, by distinguishing between objective and subjective approaches, their relevant dimensions, the new data sources used for their measurement and relevant studies. We also intend to shed light on still barely unexplored dimensions and data sources that could potentially contribute as a key for public policing and social development.
Author Gabrielli, Lorenzo
Miliou, Ioanna
Tesconi, Maurizio
Pappalardo, Luca
Sharma, Rajesh
Cresci, Stefano
Voukelatou, Vasiliki
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  organization: ISTI-CNR
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Keywords Subjective well-being
Objective well-being
Well-being dimensions
Well-being
Artificial intelligence for social good
Data science for social good
New data sources
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Snippet Well-being is an important value for people’s lives, and it could be considered as an index of societal progress. Researchers have suggested two main...
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SubjectTerms A Social Mining and Big Data Ecosystem for Open
Artificial Intelligence
Business Information Systems
Computational Biology/Bioinformatics
Computer Science
Data Mining and Knowledge Discovery
Database Management
Responsible Data Science
Review
Title Measuring objective and subjective well-being: dimensions and data sources
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