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Counting as a Human Being in the Era of Computational Law

Objective

This project will investigate how the prominence of counting and computation transforms many of the assumptions, operations and outcomes of the law. It targets two types of computational law: artificial legal intelligence or data-driven law (based on machine learning), and cryptographic or code-driven law (based on blockchain technologies). Both disrupt, erode and challenge conventional legal scholarship and legal practice. The core thesis of the research is that the upcoming integration of computational law into mainstream legal practice, could transform the mode of existence of law and notably of the Rule of Law. Such a transformation will affect the nature of legal protection, potentially reducing the capability of individual human beings to invoke legal remedies, restricting or ruling out effective redress. To understand and address this transformation, modern positive law will be analysed as text-driven law, enabling a comparative analysis of text-driven, data-driven and code-driven normativity. The overarching goal is to develop a new hermeneutics for computational law, based on (1) research into the assumptions and (2) the implications of computational law, and on (3) the development of conceptual tools to rethink and reconstruct the Rule of Law in the era of computational law. The intermediate goals are an in-depth assessment of the nature of legal protection in text-driven law, and of the potential for legal protection in data-driven and code-driven law. The new hermeneutics will enable a new practice of interpretation on the cusp of law and computer science. The research methodology is based on legal theory and philosophy of law in close interaction with computer science, integrating key insights into the affordances of computational architectures into legal methodology, thus achieving a pivotal innovation of legal method.

Fields of science (EuroSciVoc)

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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)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

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.

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.

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.

(opens in new window) ERC-2017-ADG

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Host institution

VRIJE UNIVERSITEIT BRUSSEL
Net EU contribution

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.

€ 1 963 445,00
Address
PLEINLAAN 2
1050 BRUSSEL
Belgium

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Region
Région de Bruxelles-Capitale/Brussels Hoofdstedelijk Gewest Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest Arr. de Bruxelles-Capitale/Arr. Brussel-Hoofdstad
Activity type
Higher or Secondary Education Establishments
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Total cost

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.

€ 1 963 445,00

Beneficiaries (2)

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