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Content archived on 2024-06-18

Law Enforcement Intelligence Learning Application

Objective

21st Century security challenges raise questions about the effectiveness of the traditional intelligence learning paradigm suggesting the need of a complex, agile and rapidly changing intelligence analysis approach.
In this context, via a holistic learning methodology and a “serious games” solution, the LEILA project will enable to empower intelligence analysts by improving their cognitive capabilities, reasoning skills and creative approach, at individual and group level.
The radical innovation of this holistic approach is brought by the combination of several fields which are normally explored and applied separately such as: psycho-sociological and cognitive factors in decision making (e.g. decision biases, critical thinking, multiple reasoning strategies, creativity), decision making strategies under uncertainty (e.g. Bayesian approaches, game theory), and group interaction dynamics in intelligence analysis.
A variety of learning experiences (e.g. games of deterrence, intelligence analysis under stress, emergence in highly of collaborative situations) will be elaborated and computerized in different serious games, that will offer the possibility to actively acquire the new IA skills from the different angles.

The impact on users’ community will be ensured by partners providing knowledge and learning in the specific domain (NDU, KEMEA, ZANASI), by the early and continuous involvement of end users and stakeholders (partners and their networks), by the iterative design process - alternating pilots and implementation of the learning framework and the serious games - and the intensive dissemination activities.
The involvement in the consortium of experienced SMEs in the domains of Serious Games, innovative interfaces, technology enhanced learning, together with important key players and knowledge providers in Intelligence Analysis and in training for law enforcement, will ensure to LEILA the achievement of the defined scientific and technical outcomes.

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.

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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.

Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

FP7-SEC-2013-1
See other projects for this call

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.

CP-FP - Small or medium-scale focused research project

Coordinator

KENTRO MELETON ASFALEIAS
EU contribution
€ 132 292,80
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.

No data

Participants (6)

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