Objective
Driven by public outrage at bank bailouts during the financial crisis, many governments have since then tried to rewrite the rules governing finance. Yet the anger provoked by the bailouts has not subsided. In Europe and in North America, citizen fury against bankers continues to structure battles over financial regulation. It also affects broader perceptions of fairness in the political system and feeds anti-elite populism. Scholars of political economy have chronicled the clashes between states and large banks, and scholars of political behaviour have noted the failings of governments to respond to the will of democratic majorities. No one has explored the feedback loops between policies regulating banks, the public anger towards banking elites, and media discussions of finance. BANK-LASH fills this gap, using a cutting-edge, high-risk research design comprising three work packages to link policy outcomes with public opinion and media coverage. BANK-LASH 1will collect the first cross-nationally comparable data on public attitudes towards finance, including a series of innovative survey experiments that assess how different media frames affect emotions and preferences. BANK-LASH 2 will use supervised machine learning to measure the overall media environment of these countries for the last decade, assessing how much different national media systems discuss finance and how different national media systems frame the discussion of banking regulation. BANK-LASH 3 links the micro-level study of attitudes and macro-level media coverage with episodes of policy intervention in each country in order to determine when democracies have imposed significant new regulation on their banks. By harnessing these different intellectual tools within a single study, BANK-LASH brings together the concerns of political economy, behavioral research and policy studies to untangle the relationship between banks, public policy, and anti-elite sentiment in the wake of the financial crisis.
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.
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Keywords
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)
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.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
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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.
ERC-ADG - Advanced Grant
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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) ERC-2017-ADG
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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.
OX1 2JD Oxford
United Kingdom
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.