Objective
Many researchers have suggested that cooperation is made possible by third party punishment (TPP) of free riders. TPP has its own free riding problem, though; it is costly in itself, and people can be tempted to let others incur the costs of punishing cheaters. Thriving research areas are currently seeking to explain how this second-order free rider problem is resolved – that is, how individuals are sufficiently compensated for engaging in TPP. One proposal suggests that individuals gain reputational benefits by punishing noncooperators. Yet the evidence supporting this proposal is equivocal: punishers are sometimes preferred, but they are also often avoided, perhaps because of uncertainty about their motives underlying TPP. Based on recent theoretical and empirical developments on the functions of disgust and anger, we suggest that the expression of these moral emotions can help explain the inconsistency in how observers perceive third party punishers, because emotions reveal information about the punishers’ motives and intentions. The proposed research aims to test whether disgust expressions increases trustworthiness of punishers whereas anger promotes a reputation for punitiveness and aggression. The research would simultaneously shed light on prominent debates about the differences between these emotions. Methods from behavioural economics, such as the third party punishment game and the trust game, will be integrated with methods from the social psychology of emotions used to test the interpersonal effects of emotion expression. Studies will also employ software that enables the collection of data from real-time behavioural interactions. The proposed research and training will enable the applicant, who has made important contributions to the literature on emotions, to gain crucial new expertise in cooperation and behavioural methods from leading experts at VU Amsterdam.
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 computer and information sciences software
- social sciences economics and business economics
- social sciences psychology social psychology
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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-EF-ST - Standard EF
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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-2017
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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.
1081 HV Amsterdam
Netherlands
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.