Opendata, web and dolomites

DYNANSE SIGNED

Righting the Wrongs. A Life Course Dynamics Approach for Non-Standard Employment

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "DYNANSE" data sheet

The following table provides information about the project.

Coordinator
STICHTING VU 

Organization address
address: DE BOELELAAN 1105
city: AMSTERDAM
postcode: 1081 HV
website: www.vu.nl

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Netherlands [NL]
 Total cost 1˙996˙377 €
 EC max contribution 1˙996˙377 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2019-COG
 Funding Scheme ERC-COG
 Starting year 2020
 Duration (year-month-day) from 2020-09-01   to  2025-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    STICHTING VU NL (AMSTERDAM) coordinator 1˙996˙377.00

Map

 Project objective

Aim: To break new ground in the field of Non-Standard Employment (NSE), I develop a novel method for the study of employment trajectories and with this an integral life course framework that explains why and when NSE leads to positive or negative career outcomes. Background: NSE has become a common feature of modern labour markets. Research provides contradictory results on whether NSE leads to prosperous or precarious careers. This research suffers by three shortcomings: 1) the description of how NSE affects the career is only based on single events, 2) the explanation of why NSE leads to positive or negative career outcomes is based only on static factors, 3) the positive outcomes of NSE are overestimated, as information on NSE is contaminated by measurement error. Innovation:I present the Life Course Dynamics Approach for Non-Standard Employment (DYNANSE) that assesses how micro (individual career-choices), meso (organisational dynamics) and macro (institutional change) dynamic factors determine why NSE leads to prosperous or precarious careers. This is done with an innovative method that corrects for measurement error and treats trajectories as the unit of analysis instead of studying single events. Methodology:This project consists of four interconnected subprojects: 1) first we develop the method. Then, we use this method to study how micro and meso dynamic factors determine the career outcomes of NSE for 2) young workers and 3) older workers, and 4) how institutional change shapes the role of NSE using data from the Netherlands, Norway and Italy. Impact: Results will lead to a long-sought understanding of the dynamic factors determining whether NSE leads to positive or negative career outcomes. In this way, we will resolve a theoretical debate on whether NSE is a factor of dynamism or a source of increasing inequality in the labour market. The novel method that is used in this project will also become a useful tool for the analysis of other social phenomena.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "DYNANSE" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "DYNANSE" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.1.)

U-HEART (2018)

Unbreakable HEART: a reconfigurable and self-healing isolated dc/dc converter (U-HEART)

Read More  

RESOURCE Q (2019)

Efficient Conversion of Quantum Information Resources

Read More  

AllergenDetect (2019)

Comprehensive allergen detection using synthetic DNA libraries

Read More