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INDEED

The INDEED project, co-funded by the European Union’s Horizon 2020 Research and Innovation Programme, is a three-year project working on a more efficient evidence-based model for evaluation of radicalisation prevention and mitigation to strengthen first-line practitioners’ and policymakers’ knowledge, capabilities and skills for designing, planning, implementing and evaluating PVE/CVE and de-radicalisation initiatives in an effective and proven manner.

CREST

CREST’s overall objective is to improve the effectiveness and efficiency of LEAs intelligence, operation, and investigation capabilities, through the automated detection, identification, assessment, fusion, and correlation of evidence acquired from heterogeneous multimodal data streams. Such data streams include (but are not limited to) Surface/Deep/Dark Web and social media sources and interactions, IoT-enabled devices (including wearable sensors), surveillance cameras (static, wearable, or mounted on UxVs), and seized devices and hard disks.

CREST will achieve this objective by developing an innovative prediction, prevention, operation, and investigation platform that will build upon the concept of multidimensional integration and correlation of heterogeneous multimodal data streams and delivery of pertinent information to different stakeholders in an interactive manner tailored to their needs.

PROPHETS

The cyberspace is increasingly used as a medium to illegally fund, recruit, train, and incite individuals against European social and democratic ideals. Behavioural radicalisation online, desensitisation and demoralisation are to be considered as the driving force in the genesis of online criminal attitudes, belief systems, and psychological attributes that move towards accepting, supporting and instigating terrorism.

The core aim of the PROPHETS project is to examine the process of behavioural radicalisation online and how it leads to hate speech, terrorist financing, terrorist-generated content, terrorist recruitment and training.PROPHETS focuses on understanding the process of behavioural radicalisation and addresses the relational dynamics between radical behaviours and the following four key areas, namely – online terrorist-related hate speech,  online terrorist-generated content,  online recruitment and training of terrorism, online financing of terrorism.

popAI

popAI aims at fostering a constructive dialogue between the European policymakers, the Law Enforcement Agencies (LEAs), and the ordinary citizens. The final goal is to enhance trust in the application of AI and AI-enable mechanisms in the security domain, by increasing awareness, social engagement and gathering knowledge and expertise from multiple sectors.

This approach will offer a unified European view across LEAs (Law Enforcement Agencies), while encouraging the creation of an ecosystem that could provide the structural architecture of a sustainable and inclusive European AI hub for Law Enforcement. Moreover, the project will delineate a roadmap for the implementation of AI systems in the short term (focusing on certification and compliance) and in the long term (addressing potential future scenarios and risks related to the use of AI).

MED1stMR

The H2020 project MED1stMR develops innovative mixed reality training technology to combine real-world medical simulators with virtual environments to train medical first responders for their challenges

NOTIONES

The vision of the NOTIONES network is to build and maintain a pan-European ecosystem of security and intelligence practitioners in order to (1) monitor technologic opportunities and advancements and best practices and (2) define and refine requirements and standardization needs.

In order to achieve this objective the project, coordinated by TECNALIA, combines the expertise of 29 partners from 21 different countries; including 15 military, civil, financial and judiciary practitioners as well as local, national and international law enforcement agencies.

DANTE

It develops automated data mining, analytics solutions and an integrated system to detect, retrieve and analyse complex terrorist-related multimedia content and radicalisation

INSPEC2T

Develops a sustainable framework for Community Policing that effectively addresses and promotes seamless collaboration between the police and the community

STRIKE

Creates models built to better cater for the unexpected; from stock market pricing to the true cost of a country joining and leaving the EU

TERRA

It promotes the importance of terror victims and former terrorists playing a positive role in preventing radicalisation

PROTON

It aims to improve existing knowledge of the recruitment processes for organised crime and terrorist networks through an innovative integration between social and computational sciences

TENSOR

It develops a terrorism intelligence platform for LEAs to provide them with fast and reliable information on early prevention of terror related activities, radicalisation and recruitment

VOX-POL

An academic research network focused on researching the prevalence, contours, functions, and impacts of Violent Online Political Extremism and responses to it.

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