LIFEINCON

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

 Coordinatore STOCKHOLMS UNIVERSITET 

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 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

Mappa


 Word cloud

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chances    methodological    life    mechanisms    models    differences    social    ways    qualitative    contextual   

 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.'

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