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Project description

Revolutionising data-driven investigations

In today’s data-driven society, criminals are preying on the information systems of private, public, corporate and government networks. The fight against cybercrime, terrorism and other hybrid threats hinges on technological and policy innovation. The EU-funded INFINITY project will couple virtual and augmented reality innovations, artificial intelligence and machine learning with big data and visual analytics. Its aim will be to deliver an integrated solution to revolutionise data-driven investigations. The project will address the core needs of contemporary law enforcement by equipping investigators with cutting-edge tools to acquire, process, visualise and act upon the enormous quantities of data they are faced with every day. It will assist law enforcement agencies with automated systems and instinctive interfaces and controls.

Objective

Infinity’s ambition is to become a flagship project against society’s most pressing cybercriminal, terrorist and hybrid threats. Synthesising the latest innovations in virtual and augmented reality, artificial intelligence and machine learning with big data and visual analytics, Infinity will deliver an integrated solution that aims to revolutionise data-driven investigations. Bringing together a strong representation from national and supranational agencies with an end-user-driven design, it will directly address the core needs of contemporary law enforcement. Specifically, it will equip investigators and analysts with cutting-edge tools to acquire, process, visualise and act upon the enormous quantities of data they are faced with every day. Bolstered by cognitive research, automated systems and instinctive interfaces and controls, Infinity will be designed and developed to maximise the potential of individual investigators. On a collective level, the immersive collaborative environment offered by Infinity will enable co-located and remote LEA cooperation in ways that have not yet been realised. This end-to-end system for LEA operations will cover the full investigative cycle, including generating reports for decision-makers and admissible evidence to demonstrate to juries and judges. Ultimately, the solutions offered by Infinity will propel LEAs ahead of traditional and evolving complex, hybrid and transnational threats and protect the societies they serve.

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)

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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.

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.

RIA - Research and Innovation action

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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) H2020-SU-SEC-2018-2019-2020

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Coordinator

AIRBUS DEFENCE AND SPACE SAS
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.

€ 656 250,00
Address
31 RUE DES COSMONAUTES ZI DU PALAYS
31402 Toulouse Cedex
France

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Region
Ile-de-France Ile-de-France Yvelines
Activity type
Private for-profit entities (excluding 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.

€ 656 250,00

Participants (22)

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