Constructing and Synthesising Indicators in the Era of Big Data. Part II

Tuesday, 12 July 2016: 10:45-12:15
Location: Hörsaal 12 (Juridicum)
RC55 Social Indicators (host committee)

Language: English

In recent years, the methodology aimed at constructing synthetic and complex indicators developed considerably by adopting advanced application of multivariate analysis. In particular, starting from the classical theory of composite indicators, many interesting approaches have been developed to overcome the weaknesses of composites. At the same time, the availability of new sources of data (e.g., big data) even though it highlights new perspectives in describing complex human and social phenomena, introduces new issues to be faced in constructing indicators. The session focuses on developments in synthesizing indicators and, more generally, in quantifying complex phenomena in the era of big data.
Session Organizer:
Filomena MAGGINO, University of Florence, Italy
Paolo CORVO, University of Gastronomic Sciences, Italy
The Good Life, Affluence and Self-Reported Happiness: Introducing the Good Life Index and Debunking Two Popular Myths
Leonie STECKERMEIER, Otto-von-Guericke-University Magdeburg, Germany; Jan DELHEY, Otto-von-Guericke-University Magdeburg, Germany
Towards an Optimal Measure for Subjective Well-Being: Experimental Evidence for Anchoring Effects.
Martijn HENDRIKS, EHERO (Erasmus University Rotterdam), Netherlands
Changes in Qol in Spanish Municipalities (2001-2011)
Eduardo GONZALEZ FIDALGO, University of Oviedo, Spain; Ana CARCABA, University of Oviedo, Spain; Juan VENTURA, University of Oviedo, Spain
See more of: RC55 Social Indicators
See more of: Research Committees