Objective
Social scientists have long studied the effects of population diversity on society. The research project proposed here breaks new ground in multiple dimensions by rigorously estimating the long-run effects of (i) local population diversity, (ii) individual diversity, and (iii) the interaction between these two concepts, on comparative socioeconomic performance across locations and lineages within a country.
Through a combination of two extensive high-quality databases covering the complete genealogy of more than five million individuals living in Quebec, spanning its settlement in the 16th century up to present day, as well an immense database covering more than 43 million worldwide individuals, I will analyze the effects of diversity using measures of diversity that are well-established in the field of quantitative genetics. The project will deliver the first within-country long-run investigations involving local and individual diversity.
First, I hypothesize that the diversity of an individual’s ancestors has a significant effect on the productivity of that individual as well as his descendants. In particular, I hypothesize that individuals from more diverse lineages were more capable of adjusting to changing economic conditions, finding new productive niches, and thus raising that individual’s income.
Second, I hypothesize that the negative effects of diversity found on the country level are less operative within a country. Thus, I expect to find that local population diversity has had a monotonically positive effect on long-run development within a country.
Third, I hypothesize that there is an interaction effect between population-level and individual-level diversity. Thus, I suggest that the effect of individual diversity is affected by the diversity of the locality in which the individual is situated. In particular, I hypothesize that there is a greater benefit to individual diversity in less diverse localities.
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.
- natural sciences biological sciences genetics
- natural sciences computer and information sciences databases
- social sciences economics and business economics production economics productivity
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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.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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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.
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.
MSCA-IF-GF - Global Fellowships
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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.
(opens in new window) H2020-MSCA-IF-2016
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
1165 KOBENHAVN
Denmark
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.