Ship propulsion at high speed or under adverse conditions causes cavitation, a hydrodynamic phenomenon that leads to an important increase in emitted noise thereby affecting the ship’s signature and marine life in a negative way. Therefore, both ecological, economical and strategic reasons call for the reduction of cavitation. This project 1) acquires fundamental knowledge on the phenomenon, 2) models and predicts the moment when cavitation starts in various conditions, and 3) applies this knowledge at the training center of the Royal Netherlands Navy to develop the preconditions for real life navigation that flexibly allows for minimizing cavitation.

Combatting frauds on identity and travel documents is a key mission of law enforcement agencies and border guards. Industries have been working on new means to combat frauds on identity, and public authorities are using numerous technologies to accomplish their mission, but permanent innovation is required to fight highly skilled defrauders. A number of European innovation projects have tested new ways to combat fraud but few of them reached an operational level. EINSTEIN objectives is to enhance significantly existing public authorities’ means through innovation, building on technologies proven in the labs but not mature for an operational usage yet. EINSTEIN will deliver six applications essential to fight identity frauds: 1) online ID issuance using a secure cloud-based server for real-time biometric quality checks and fraud detection, 2) mobile document and identity checks using commercially available smartphones, 3) document authentication module to detect fraudulent documents, 4) pre-registration for land-border crossings including biometrics and DTC, 5) EES kiosk with advanced fraud detection using video surveillance, 6) fast track for enrolled travelers using on-the-move face and iris. To ensure TRL7 at a minimum, practitioners will run six different pilot use cases in their own environment. A key objective is also to ensure interoperability and flexibility of all the components developed in the project so that they can be reused in different contexts, possibly by different providers. Design of open, well-defined, standardized interfaces will allow achieving this objective. Privacy being an essential concern of all European citizens and governments, EINSTEIN will take into account privacy-by-design principles, developing flexible components to ease their customization in order to meet not only the European legislation on data protection but also national legislations on this matter, which vary significantly from one country to the other.

Artificial Intelligence (AI) plays a crucial role within the Dutch Ministry of Defence (MoD) to provide safety and security. Examples are enabling high speed processing of big data, and intelligent, unmanned robots. The introduction of AI-technology in defence also raises a host of ethical, legal, and societal concerns, including how to keep AI-powered systems under meaningful human control, and how to maintain human dignity when giving autonomy to machines. The ELSA Lab Defence addresses this question by developing a future-proof, independent and consultative ecosystem that enables the responsible use of AI in defence.

EU-HYBNET is a Pan-European network of security practitioners, stakeholders, academics, industry players, and SME actors across EU collaborating with each other in ever increasing numbers to counter hybrid threats. EU-HYBNET aims to build an empowered, sustainable network beyond the scope of the project through its on-going association with a key partner, The European Centre of Excellence for Countering Hybrid Threats, and it will: define common requirements that can fill knowledge gaps, deal with performance needs, and enhance capabilities of innovation endeavours; monitor significant developments in research and innovation; deliver recommendations for uptake and industrialisation of the most promising innovations that address the needs of practitioners, and determine associated priorities for standardisation; establish conditions for enhanced interaction among its members; and persistently strive to increase its membership and continually build network capacity through knowledge exchange incl. exercises. EU-HYBNET's principal objectives align with the H2020 SEC-SU-GM01-2019 call and are of crucial relevance to it. A technology and innovations watch, facilitated by scientific research, will ensure smooth execution of searching, monitoring, identifying and assessing innovations both under development or already proven, including the level of technology readiness for uptake or industrialisation. EU-HYBNET will bring together practitioners and stakeholders to identify and define their most urgent requirements for countering hybrid threats by undertaking an in-depth analysis of gaps and needs and prioritising those that are crucial to address through effective research and innovation initiatives, including arranging training and exercise events to test the most promising innovations (technical and social) which will lead to creation of a roadmap for success and solid recommendations for uptake, industrialisation and standarisation across the European Union.