CLIC - Comparative Life Course and Inequality Research Centre > About CLIC

About CLIC

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The Comparative Life Course and Inequality Research Centre (CLIC) promotes policy-relevant research on educational and job careers, trajectories of families, fertility and health, transitions to retirement and successful aging. It aims to study how individuals’ pathways from birth to death unfold over the life course in relation to individual characteristics, institutional contexts as well as historical events, and how these contribute to the production of social inequality.  

CLIC was launched with an inauguration lecture by Prof. Glen H. Elder on the 22nd of April 2013. 

Activities

CLIC provides an interdisciplinary forum for doctoral researchers, post-doctoral fellows, professors and visiting scholars who are engaged in the cross-national comparative study of life course inequalities. The Center will organize public events that bring together people from the EUI and other research centers and universities who are interested in life course studies and longitudinal data analysis. It will also serve as a platform for initiating research and writing research proposals on life course and social inequality topics written by researchers, post-docs and senior scholars.

Latest News
SESandHEALTH Advisory Board Meeting

SESandHEALTH Advisory Board Meeting

Description
The SESandHEALTH Advisory Board Meeting took place from 22-23 September 2016 at the European University Institute in Florence.
Date:
09/11/2016
Second phase of the GEG project started in July 1st

Second phase of the GEG project started in July 1st

Description
The second phase of the project started in July, 1st. The new title of the project is: Determinants of the emergence of gender-specific patterns of competencies and decision making over the educational career in Germany
Date:
01/07/2015
Structural Equation Modeling: Introductory and Intermediate Topics

Structural Equation Modeling: Introductory and Intermediate Topics

Description
This 2-day workshop consists of two parts. Part 1 deals with introductory and intermediate aspects of the increasingly popular methodology of structural equation modeling. Part 2 of the workshop is focused on longitudinal data analysis and modeling using the SEM/LVM framework.
Date:
28/01/2015
 

Page last updated on 17 August 2017