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A EUROPEAN SOCIAL SCIENCES RESEARCH INFRASTRUCTURE PROJECT A EUROPEAN SOCIAL SCIENCES RESEARCH INFRASTRUCTURE PROJECT

A EUROPEAN SOCIAL SCIENCES RESEARCH INFRASTRUCTURE PROJECT - PowerPoint Presentation

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A EUROPEAN SOCIAL SCIENCES RESEARCH INFRASTRUCTURE PROJECT - PPT Presentation

In clusive G rowth R esearch I nfrastructure D iffusion Funded under 7 th Framework Programme Capacities EU 17 academic and European partners February 2013 January 2017 ID: 800608

research data activities pillar data research pillar activities policy poverty conditions amp infrastructure european indicators working partners living based

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Slide1

A EUROPEAN SOCIAL SCIENCES RESEARCH INFRASTRUCTURE PROJECT

Slide2

Inclusive

Growth R

esearch

I

nfrastructure Diffusion

Funded under 7

th

Framework

Programme

- Capacities (EU)

17 academic and European partners

February 2013 – January 2017

Project to integrate and improve an existing research infrastructure

Networking activities

Transnational access

Joint research activities for improvement

‘Whereabouts’ of the research infrastructure

Projects goals and activities

Slide3

3

THE RESEARCH INFRASTRUCTURE

What

is a Research

Infrastructure

(RI)?

What

is the

specific

InGRID

infrastructure

?

Slide4

What is a European Research infrastructure?

HELPING HANDSResearch infrastructure = facility or platformprovides resources and servicesto the scientific communityAim: enable to conduct top-level research

FACILITATING RESEARCH

Supports scientists in research

to access, order, analyse, store and reuse data and knowledgein ways otherwise impossible

Slide5

Facilitating what kind of research?Facilitating

top-level research …

Evidence-based

policies

Slide6

Innovative

data

collections

Harmonised

classifications

Users expertise official data/

surveys

Cross-country

policy indicatorsStatistical simulation environmentsStandards of statistical and survey

qualityKnowledge infrastructure

accumulated

by

European

science

EU-FP projects: RECWOWE, EQUALSOC, WORKS, GINI,

ImPRovE

, NEUJOBS, WALQING, MEADOW,

EurOccupations

,

Woliweb

,

SPReW

,

WorkCare

,

RISQ, SAMPLE,

Ameli

Slide7

The InGRID Research Infrastructure

International data archives/collections: integration of national data: f.e. LIS Data centre (income data) & CED institute (European census micro-data)EU-wide databases & indicator collections

f.e. SOFI (Sweden) & AIAS (Amsterdam)New data efforts or projects on working conditions and job quality:

f.e. WageIndicator project, Meadow approachInnovative ways to order and analyse data from official data providers f.e. EU-SILC, Eurofound surveys, national socio-economic panels and working conditions surveys

Standards for

harmonisation

of questionnaires, classifications & policy indicators

Simulation facilities f.e. EUROMOD

Slide8

GRID

INTEGRATING RESOURCES FROM MULTIPLE LOCATIONS TO REACH A COMMON GOAL

Slide9

The policy challenge in the current crisis

EU 2020

ambitions

2009

2010

2011

2012

Employment: 75% of the population aged 20-64 should be employed in 2020

Employment

rate –

age

group

20-64

69.0%

68.5%

68.6%

68.5%

Poverty should be reduced by lifting at least 20 million people out of the risk of poverty and social exclusion by 2020

People at risk of poverty

and

social exclusion (thousands)

114 353

116

847

120 177

123 874

Source:

Eurostat

Slide10

10

THE InGRID PROJECT

Key

objectives

and

activities

Transnational

access:

how

it

works

?

Description

of

work

in the 4

pillars

/clusters

Project

activities

to

structure

the

sustainability

of the

infrastructure

Slide11

Inclusive Growth Research Infrastructure Diffusion

ObjectivesIntegrate

and

innovate

existing European social sciences Research Infrastructures on

Poverty

and

living conditionsWorking conditions and vulnerability by improving: Transnational data accessOrganising mutual knowledge exchange activities Improving

methods and tools for comparative researchIn order to create new and

better

opportunities

for

development

of

evidence-based

European

policies

on

Inclusive

Growth

Slide12

About the project

17 partners in a consortium3 types of activities:

18 Summer schools & 12 expert workshops250 Visiting grants to data infrastructures

Joint

researchClustered in 4 themes: Poverty and living conditionsWorking conditions and vulnerabilitySocial policy analysis

Statistical quality

management

Slide13

Pillar: Transnational access

Acces to 13 European Research

Infrastructures

Access

to infrastructureGuidance and training of experts

Data

infrastructures

– Data expert

centersLIS

Luxembourg

Income

Study

LWS

Luxembourg

Wealth

study

Data base (part of LIS)

IECM

Integrated

European Census Micro-Data

Eurofound

European

Working

Conditions

Survey, European

Quality

of Life Survey, European Company Survey

Wage

Indicator data

EUROMOD

SPIN

Social

Policy Indicators Data base (SCIP,

SaMip

, PAL, CBD)

CSB-MIPI

cross-

national

and

cross-

temporay

comparable

model family

simulations

WISCO

World Data base of ISCO-08

Occupations

ICTWSS

Data base on

Institutional

Characteristics

of Trade

Unions

,

Wage

Setting, State

Intervention

and

Social

Pacts

EU-SILC

Data expertise

MEADOW

organisational

panel

surveys

Slide14

VISITING GRANTS How it works?

Working together with experts on data

Who can

apply?Early-stage or expert researchers

Employed

in EU

Member

States & associated countriesWhat is offered?Work together with data between one week and one month

Free-of-charge access to data sets & expertiseReimbursement travel costs & subsistence allowanceIndividual or in group

(

linked

to

previous

attending

of a

summer

school

or

expert

workshop)

How

to

apply

?

Call

every

4

months

(on website)

Why-what

(project,

PhD,

paper,

article

…) + short CV

Selection

panel

Fine-

tuning

with

host’

institution

Slide15

Showcase: First call visiting grants

26 applications – 8 countries

5 refused

3

postponed18 acceptedExamples

Mapping

zones of job

insecurity

in EuropeA minimum income in ItalySmall area estimates in time-varying framesA model to predict poverty

Slide16

Partners providing transnational access

Slide17

Pillar: Poverty and living conditions research

Context: EU2020 stategy

: poverty targetData infrastructure

=

confronted with 3 new

challenges

:

Close

growing data gapsAdress the lack of harmonized longitudal dataAnswers for specific data challengesHard-to-identify vulnerable

groupsHard-to-reachEasy-to-reach => indicators

Slide18

Pillar activities ‘Poverty & living conditions

’Joint research activities:

Integrated poverty and living conditions

indicator system (IPOLIS)

Optimise the use of census micro-data to analyse and monitor poverty

and

living

conditions at territorial level in Europe Formulating priorities for future data collections and comparative analysis

Slide19

Pillar activities ‘Poverty & living conditions

’Networking activities

4 training events on advanced poverty research

Expert workshops

Indicator building for various vulnerable groupsSurvey protocol

development

for

hard-to-reach and hard-to-identify groups in living conditions surveysUse of high density census samplesVisualisation and outreach to stakeholders

Slide20

Partners ‘Poverty and living conditions’

pillar

Pillar leader:

Partners:

Slide21

Pillar: Working conditions & vulnerability

researchContext EU2020 stategy

: new skills for

new jobs initiative & ESCOHarmonisation – Disorganised statistical

system

Main

challenges: Comparison & harmonisation of job quality indicators, occupational health and savety indicators and Laeken indicators Measurement of working conditions of

vulnerable groupsAddress lack of tools to identify

new

jobs and

new

skills

Slide22

Pillar activities ‘Working conditions

& vulnerability’

Joint research activities Create

tools

for harmonising the measurement of occupations EU-wideTools to

detect

and

classify new jobs and new skills in WC & OHS surveysInventories and reviews considering WC & OHS (web-based platform)Identifying determinants of vulnerability connected with economic changes and employers’ behaviour and

mapping vulnerable groups in work

Slide23

Pillar activities ‘Working conditions

& vulnerability’Networking activities

4 training events on advanced labour studiesExpert workshops

Tools

for harmonising the measurement of occupationsTools to

detect

and classify new jobs and new skills in surveysUse of linked employer-employee dataJob quality indicators

Slide24

Partners ‘Working conditions and

vulnerability’ pillar

Pillar leader:

Partners

:

Slide25

Pillar: Policy analysis research

Context: European policy learning; Challenge: indicators Policy

evaluations require

micro-level

data of high-qualityLink policy evaluations based

on

the

family

model approach to approach of EUROMODInclusiveness and representativeness of policy indicatorsTo provide more meaningful and accurate policy evaluations and analyses

Slide26

Pillar activities ‘Policy analysis’

Joint research activities: Improving

possibilites for institutional

and

comparative policy analysisBuilding a flexible (web-based) tool for doing family model analysis on the basis of EUROMOD

Extending

policy

measures

in EUROMOD with measures for child careNew tools to capture a broader range of institutional information in single policy indicatorsProviding a systematic policy inventory

Slide27

Pillar activities ‘Policy analysis’

Networking activities:

Summer schools4 short training events for policy

practitioners

on comparative indicators and statistics related to

poverty

, living

and

working conditions6 short training events on how to use EUROMODExpert workshopsFamily model component of EuromodChild care module of EuromodDissemination of the comparative and institutional approach of policy analysis

Comprehensive indicators for the multilevel analysis of benefit programmes and poverty outcomes

Slide28

Partners ‘Policy analysis’ pillar

Pillar leader:

Partners:

Slide29

Pillar: Statistical quality research

Context: Sound science-based evidence

: survey/sampling –

longitudinal

; small-areaReliable indicators are based

on

highly sophisticated statistical estimation methodsChallenges:Multi-dimensionaly of poverty and vulnerabilitySmall area estimatesMeasurement of change

Investigate development and feasibility of web-based knowledge managment

system

Slide30

Pillar activities ‘Statistical quality’

Joint research activities in 3 domains

: Scenario and simulation based

analysis

Data and modelling Methods to improve statitical

methods

with

respect to the multi-dimensional measurementContributing to the networking activities of the other pillars

Slide31

Partners ‘Statistical quality’ research

Pillar leader:

Partners:

Slide32

Investigating

/

improving

the

sustainability

of the research

infrastructure

Slide33

Innovative

data

collections

Harmonised

classifications

Users expertise official data/

surveys

Cross-country

policy indicatorsStatistical simulation environmentsStandards of statistical and survey

quality

RESEARCH

INFRASTRUCTURE

PROJECT

Slide34

Upcoming

InGRID events26-28 February 2014: Winter school:Using EUROMOD in cross

country microsimulationUpcoming

calls and eventsFebruary:Call for summer school Poverty pillar (Bremen)

March

Call

for

summer school Policy pillar (Brussels)April7-8/4 Expert workshop EUROMOD (Antwerp)28-30/4: expert workshop Poverty Pillar (Bremen)Fourth call for visiting grantsJuly: 7-17: Summer School Working conditions pillar: ‘the gender wage gap revisited (Amsterdam)

Title/date

Slide35

Hope to see you

soon at one of our

events!

www.inclusivegrowth.be