Project description
Insights into the mechanics of discriminatory group identities
What types of group identities are more likely to induce discriminatory behaviour? What kind of people are more likely to adopt such group identities? The EU-funded project DISGRID will work toward answering these questions. Specifically, it will conduct a meta-analysis of economic experiments studying discrimination, as well as conduct own experiments. By focusing on the strengths of different types of group identities and on individual heterogeneity in their adoption, these studies will provide empirical insights into the mechanics of discriminatory group identities and their interaction with individual levels of readiness to adopt them. The findings will inform the improvement of theoretical models of group identity-based discriminatory behaviour. These, in turn, can help to develop specific trainings aimed at preventing discrimination.
Objective
                                Opportunities in life in Europe de facto hinge on group memberships that de jure should not matter for individual outcomes – prompting EC president Ursula von der Leyen to press for renewed efforts to answer the question: “Why do racism and discrimination endure in our societies?”
Located at the Department of Microeconomics and Public Economics at Maastricht University and in collaboration with the University of Applied Police Sciences Saxony-Anhalt in Germany, I want to contribute to answering two research questions: i) Which types of group identities more vs. less likely induce discriminatory behavior? and ii) Which types of persons are more vs. less likely to adopt such group identities?
In WP1 I plan to conduct a comprehensive meta-analysis of economic experiments studying discrimination. It will focus on the strengths of different types of group identities and on individual heterogeneity in their adoption. Doing so, this meta-study will provide key empirical insights at an unprecedented level of detail into the mechanics of discriminatory group identities and their interaction with individual levels of readiness to adopt them - a trait labeled 'groupiness'.
In WP2 I will conduct an experimental study to dissect ‘groupiness’ by investigating a) if long-term exposure to environments of stronger vs. weaker group identities has an impact on individual levels of ‘groupiness’ and b) whether individuals who have a higher readiness to follow rules in general are also more likely to show ‘groupy’ behavior.
The insights gained will allow for the development of substantially improved theoretical models of group identity based discriminatory behavior and will be also very informative for practitioners aiming at changing group identities for the better. In particular, the results obtained will directly be exploited for informing and potentially improving the professional training of young women and men striving to become law enforcement officers.
                            
                                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 law law enforcement
- social sciences sociology social issues social inequalities racial inequality
- social sciences economics and business economics microeconomics
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                                        Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
                                        
                                    
                                
                            
                            
                        Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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                  H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
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                  H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
                                    
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                  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.
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MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)
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(opens in new window) H2020-MSCA-IF-2020
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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.
6200 MD Maastricht
Netherlands
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