Objective
The state and the family (including the whole network of relatives) are the two greatest providers of social security in modern Europe. Like the state, the family provides care, education, financial support, and help in finding employment. It also influences (and occasionally controls) choices involving career and marriage. However the role of the family is not constant over time and space. We know, from statistical sources and from sociological and ethnographic studies, that it varies greatly between different parts of contemporary Europe. Changing patterns of marriage, cohabitation and divorce, declining fertility and aging populations, also have implications for the family's social security role. Though the role of kinship in social security has important implications for state and EU policy on social security, gender discrimination and social exclusion, it remains relatively little understood - despite challenging contributions in recent decades from anthropology, economics and evolutionary theory. One reason for this is that conventional data sources such as census and surveys do not collect the full range of data needed to evaluate these theoretical developments. The only sort of data that is capable of capturing enough factual detail about kinship networks, while also investigating the way these relationships are actually experienced, is ethnographic fieldwork. One of the central ideas of this proposal is to use ethnographic methods, followed by both interpretative and mathematical analyses of the resulting data to illuminate the questions above. The second central idea is that current trends need to be understood in their historical context. The fieldwork studies will be carried out in eight European countries and will be placed in context by reviews of existing knowledge of the current social security role of kinship ties, and of the historical background. The implications for policy will be examined in the final part of the project.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- social sciences sociology demography fertility
- social sciences sociology social issues social inequalities
- social sciences sociology anthropology
- social sciences sociology demography census
- social sciences economics and business business and management employment
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP6-2002-CITIZENS-2
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Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
PF 10 10 62 MUENCHEN
Germany
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Participants (17)
GRAZ
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WIEN
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WIEN
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ZAGREB
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NANTERRE
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BESANCON
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KOELN
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SIENA
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9102 NIJMEGEN
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POZNAN
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MOSCOW
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HUDDINGE
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TORUN
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GOETTINGEN
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UDINE
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MILANO
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LUBLIN
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