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Toward a Computational Theory of Legal Complexity

Objective

Combating climate change, safeguarding democracy, regulating Artificial Intelligence: Societies worldwide are facing a deluge of urgent and fundamental challenges. Legal systems play an essential role in addressing these challenges, but many of them are struggling to respond effectively.

Improving the capacity of our legal systems to handle current and future challenges requires novel tools for analyzing and monitoring legal systems. Complexity science provides a framework for developing these tools, permitting the principled and systematic study of law as a complex system—an evolving network of diverse agents that interact via adaptive, rule-based behaviors and make interdependent choices. CompLex will work toward a computational theory of legal systems as complex systems. Drawing on concepts and techniques from computer science and network science, the project will contribute the main building blocks of such a theory: multilayer maps to capture the relationships between the components of legal systems, meaningful measures characterizing their interdependencies and interactions, and mechanistic models that explain our observations and guide us in improving our systems. The methods resulting from CompLex will allow scientists, policymakers, and the general public to better understand and mitigate critical challenges faced by legal systems today—such as ensuring their robustness to attacks, their resilience to failures, and their adaptation to changing environments.

CompLex builds on my pioneering work in developing the methodological toolkit for studying legal systems as complex systems, and it is enabled by my unique background, which combines expertise in law, computer science, and network science. By devising a computational framework for studying legal systems as complex systems and demonstrating its practical utility, CompLex will introduce a novel paradigm in our treatment of legal systems, catalyzing a computational complexity turn.

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.

HORIZON-ERC - HORIZON ERC Grants

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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-2025-STG

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Host institution

AALTO KORKEAKOULUSAATIO SR
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.

€ 1 499 240,00
Address
OTAKAARI 1
02150 Espoo
Finland

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Region
Manner-Suomi Helsinki-Uusimaa Helsinki-Uusimaa
Activity type
Higher or Secondary Education Establishments
Links
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.

€ 1 499 240,00

Beneficiaries (1)

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