Objective
The character of global business networks has long fascinated but continues to divide scholars of global markets and governance. A well-established perspective looks at the changes in global networks and sees an emerging cohesive transnational capitalist class. However, a rival line of inquiry sees the rise of competing corporate elites. Scholars also disagree on the origins of emergent patterns of corporate networks. Do they reflect institutional preferences of corporate and political elites? Or are they unintended by-products of corporate conduct? Third, there are fundamental differences of opinion on how patterns of global corporate ownership relate to actual power in the governance of such networks.
Past research has been unable to adjudicate these debates in part due to insufficient data clarifying the full breadth of corporate interactions globally, and insufficient analytical tools for analysing that breadth. This project seeks to do what has so far eluded existing scholarship: to fully explore the global network of corporate ownership and control as a complex system. Network structures may appear to be the result of a grand design at macro level, but are the outcome of the sum of the actions of a large set of interdependent actors. Using cutting-edge network science methods, the project explores for the first time the largest database on ownership and control covering over 100 million firms. Exploiting the longitudinal richness of the new data in combination with state-of-the-art methods and techniques makes it possible to model and empirically test generating mechanisms that drive network formation.
By doing so the project bridges the hitherto disjoint fields of social network studies in socio-economics and political science on the one hand, and the growing body of literature on network science in physics, computer science and complexity studies on the other.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- social sciences media and communications journalism
- natural sciences computer and information sciences data science big data
- social sciences sociology governance taxation
- social sciences political sciences
- social sciences economics and business economics political economy
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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.1.1. - 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-STG - Starting 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-2014-STG
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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.
1012WX 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.