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European Social Science: Challenges and Potential Christopher T. Whelan, ESRI, Dublin

European Social Science: Challenges and Potential Christopher T. Whelan, ESRI, Dublin Social Sciences and Humanities in Europe, Brussels, 12-13 December 2005. Introduction(i). Europe as a Social Science Laboratory Challenges and Opportunities of Monitoring the Process of Enlargement

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European Social Science: Challenges and Potential Christopher T. Whelan, ESRI, Dublin

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  1. European Social Science: Challenges and Potential Christopher T. Whelan, ESRI, Dublin Social Sciences and Humanities in Europe, Brussels, 12-13 December 2005

  2. Introduction(i) • Europe as a Social Science Laboratory • Challenges and Opportunities of Monitoring the Process of Enlargement • Sustaining factors include progress in relation to quality & quantity of comparative & longitudinal data

  3. Introduction(ii) • Relationship to exogenous & endogenous posing of problems • Institutional factors encouraging critical mass & sustained progress

  4. Monitoring & Understanding Social Exclusion in an Enlarged Union(i) • Increasing emphasis on multidimensionality • Given impetus by limitations of at risk of poverty measures in an Enlarged EU • Social Policy v Regional Perspective

  5. Monitoring & Understanding Social Exclusion in an Enlarged Union(ii) • Multidimensionality at a Macro Level: HDI v Laeken Indicators • The whole thrust of the European social agenda is to emphasise the multidimensionality of disadvantage & deprivation

  6. At-Risk-of-Poverty Rate at 60 % Median Equivalised Income, Source Eurostat SIF

  7. GDP Per Capita (PPS), European Commission 2004 EU12HI EU25 mean EU7INT EU6LO CC3

  8. Multidimensional Analysis of Social Exclusion at the Micro-Level(i) • European Quality of Life Survey • Economic Clusters • Multidimensional Approach • Relative Income, Relative Deprivation, Subjective Economic Strain

  9. Multidimensional Analysis of Social Exclusion at the Micro-Level(ii) • Size of Vulnerable Class • Patterns of Differentiation • Association of Economic Vulnerability with wider Social Exclusion and Social Cohesion

  10. Vulnerable Class Size by Economic Cluster, EQLS 2003

  11. Multidimensional Profile by Economic Vulnerability

  12. Vulnerability- Social Cohesion Associations by Economic Cluster, EQLS 2003

  13. Conclusions • Crucial importance of comparative analysis for curiosity driven and policy oriented research • Frustration of lack of appropriate data or barriers to access to data • ESS, EQLS, ECHP & EU SILC • Attempting to understand extraordinarily important processes with one and tied behind our back. • The opportunity offered by the EU as a natural social science laboratory largely unfilled.

  14. Conclusions (ii) • As well as making demands social scientists need to avoid unnecessarily rigid distinctions between curiosity driven and policy oriented research • Need to convince policy makers that the best kind of evidence based research derives from sustained research programmes in which data collection and data analysis are theoretically informed and technical developments are directly related to overcoming barriers to substantive understanding

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