Traditionally, the construction of social indicators is based upon the availability of data collected on purpose (e.g., official statistics, sample surveys). It is a common view that constructing social indicators, in the perspective of measuring wellbeing of countries, can benefit from the availability of new sources of data (e.g., big data). One of the big challenges in dealing with new data sources is related to possibility to describe complex social phenomena from different perspectives in order to enrich the already used indicators and/or build new ones. However, this possibility introduces new issues in constructing indicators.Our study intends to explore how the classical methodology for social indicators construction should be re-considered in light of using data collected for other aims (for example administrative).In this perspective, the individual sales receipts, collected during the period 2007/13 and made available to our group by a big Italian chain of stores, allow us to explore not only a particular social phenomenon but also the methodological implications in dealing with big data.

Extracting social indicators from big data: an experience in measuring wellbeing / Renza Campagni; Lorenzo Gabrielli; Fosca Giannotti; Riccardo Guidotti; Filomena Maggino; Dino Pedreschi. - ELETTRONICO. - (2016), pp. 0-0. (Intervento presentato al convegno DATA SCIENCE & SOCIAL RESEARCH tenutosi a Napoli nel February 17-19 2016).

Extracting social indicators from big data: an experience in measuring wellbeing

CAMPAGNI, RENZA;MAGGINO, FILOMENA;
2016

Abstract

Traditionally, the construction of social indicators is based upon the availability of data collected on purpose (e.g., official statistics, sample surveys). It is a common view that constructing social indicators, in the perspective of measuring wellbeing of countries, can benefit from the availability of new sources of data (e.g., big data). One of the big challenges in dealing with new data sources is related to possibility to describe complex social phenomena from different perspectives in order to enrich the already used indicators and/or build new ones. However, this possibility introduces new issues in constructing indicators.Our study intends to explore how the classical methodology for social indicators construction should be re-considered in light of using data collected for other aims (for example administrative).In this perspective, the individual sales receipts, collected during the period 2007/13 and made available to our group by a big Italian chain of stores, allow us to explore not only a particular social phenomenon but also the methodological implications in dealing with big data.
2016
Proceedings DSSR 2016
DATA SCIENCE & SOCIAL RESEARCH
Napoli
February 17-19 2016
Renza Campagni; Lorenzo Gabrielli; Fosca Giannotti; Riccardo Guidotti; Filomena Maggino; Dino Pedreschi
File in questo prodotto:
File Dimensione Formato  
DSSR2016FinalPresentation.pdf

accesso aperto

Descrizione: Presentazione del lavoro
Tipologia: Pdf editoriale (Version of record)
Licenza: Open Access
Dimensione 577.62 kB
Formato Adobe PDF
577.62 kB Adobe PDF

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1066818
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact