LIFEINCON

Individual Life Chances in Social Context: A Longitudinal Multi-Methods Perspective on Social Constraints and Opportunities

Coordinatore	STOCKHOLMS UNIVERSITET    more Spiacenti, non ci sono informazioni su questo coordinatore. Contattare Fabio per maggiori infomrazioni, grazie.
Nazionalità Coordinatore	Sweden [SE]
Totale costo	1˙500˙000 €
EC contributo	1˙500˙000 €
Programma	FP7-IDEAS-ERC Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	ERC-2010-StG_20091209
Funding Scheme	ERC-SG
Anno di inizio	2011
Periodo (anno-mese-giorno)	2011-07-01   -   2016-06-30

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	STOCKHOLMS UNIVERSITET  Organization address address: Universitetsvaegen 10 city: STOCKHOLM postcode: 10691 contact info Titolo: Mr. Nome: Thomas Cognome: Nordgren Email: send email Telefono: +46 8 161198 Fax: +46 8 6125580	SE (STOCKHOLM)	hostInstitution	1˙500˙000.00
2	STOCKHOLMS UNIVERSITET  Organization address address: Universitetsvaegen 10 city: STOCKHOLM postcode: 10691 contact info Titolo: Prof. Nome: Jens Christian Cognome: Rydgren Email: send email Telefono: 468163176 Fax: 4686125580	SE (STOCKHOLM)	hostInstitution	1˙500˙000.00

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 Obiettivo del progetto (Objective)

'This project focuses contextual factors explaining differences in young adults life chances in a longitudinal perspective. By life chances we mean the structural contexts influencing choices and behavior with consequences for education, labor market situation, health, and criminality. Such life chances are strongly and systematically influenced by social class, gender, and ethnicity. The dominant ways to study these differences are to focus socialization effects in the family and differences in human capital more generally. These approaches have been highly successful, but there is still a considerable part of it left unexplained by these models. Part of the reason for this is that they have taken contextual factors insufficiently into account. We propose a synthetic approach to the study of life chances that integrates the traditional models with a fuller focus on contextual factors neigborhoods and social networks in particular. The aims are to arrive at better specified models that will more accurately predict differences in outcomes, and to reach beyond prediction and to identify generative mechanisms causing the observed associations between explanans and explandum. The goal is to reach what Max Weber calls interpretative explanations, and in doing so we need to specify the sociologically relevant settings in which people find themselves. This social mechanism based approach to life chances necessitates methodological pluralism, in which quantitative and qualitative methodological techniques are combined. The project will analyze both large-scale random samples in order to generalize findings and do qualitative analyses of strategically selected small-n case studies in order to identify social mechanisms and understand the ways in which they operate in practice.'