By creating a sustainable strategic network of major European ICT hubs, the goal of HubLinked is to strengthen Europe’s software innovation capacity by learning from regions of proven ICT strength and sharing that knowledge will all regions. HubLinked will (i) improve the effectiveness University-Industry (U-I) linkages between computer science faculty and different types of companies (ii) develop global software innovator graduates that can work in any sector and (iii) upskill academic and industry staff to engage in U-I linkages for software innovation. Although the ICT sector is a major economic sector in Europe, HubLinked also includes SMEs in the non-software sector to provide a ‘low-cost low-commitment’ mechanism to prototype software innovations. An established partnership of large, industry-focused computer science faculties have come together with a representative mix of industry partners (large multinationals, SMEs in both the software and other sectors and start-up companies).HubLinked has six deliverables (i) effective U-I linkages (ii) the CSI4 curriculum framework for industry-oriented, internationalised, innovation-focused and interdisciplinary computer science degrees (iii) four Global Labs modules (iv) A portal of study and placement opportunities for students (v) An online professional development for academic and industry staff (vi) Form the HubLinked Association with a long term goal of including a partner from each EU country.We estimate the HubLinked partnership can directly reach over 3,000 companies, 12,000 students and 400 staff during the lifetime of the project. HubLinked will create a network of European ICT professionals that will increase the innovation capacity and competitiveness of European software hubs and help underpin education, research, innovation, trade and economic development for years to come.

Biometrics refers to the automated recognition of individuals based on their behavioural or biological characteristics. In spite of their numerous advantages over traditional authentication systems based on PINs or passwords (e.g., biometric characteristics cannot be lost or forgotten), biometric systems are vulnerable to external attacks and can leak privacy. Presentations attacks (PAs) - impostors who manipulate biometric systems by masquerading as other people - are serious threats to security. Privacy concerns involve the use of personal and sensitive biometric information, as classified by the GDPR, for purposes other than those intended. Vulnerabilities to PAs and privacy leakage are unacceptable and have hindered the deployment of biometric technology in commercial applications. The biometrics community has responded with presentation attack detection (PAD) technologies and privacy preservation mechanisms (biometric template protection schemes, BTP). Even though the latest PAD technologies are largely successful in protecting biometrics systems from known forms of PA, they tend to lack generalisation to different forms of attacks. The standard approach to privacy preservation involves some form of encryption or irreversible transformations, though the most recent fully homomorphic algorithms are general computationally prohibitive. Multi-biometric systems, explored extensively as a means of improving recognition reliability, also offer potential to improve PAD generalisation. Multi-biometric systems offer natural protection against spoofing since an impostor is less likely to succeed in fooling multiple systems simultaneously. For the same reason, previously unseen PAs are less likely to fool multi-biometric systems protected by PAD. Unfortunately, each sub-system in a multi-biometric approach to recognition has potential to leak privacy. Multi-biometric systems only compound the need for computationally prohibitive privacy preservation. RESPECT, a Franco-German collaborative project, will explore the potential of using multi-biometrics as a means to defend against diverse PAs and improve generalisation while still preserving privacy. Central to this idea is the use of (i) biometric characteristics that can be captured easily and reliably using ubiquitous smart devices and, (ii) biometric characteristics which facilitate computationally manageable privacy preserving, homomorphic encryption. The research will focus on characteristics readily captured with consumer-grade microphones and video cameras, specifically face, iris and voice. Further advances beyond the current state of the art involve the consideration of dynamic characteristics, namely utterance verification and lip dynamics. The core research objective will be to determine which combination of biometrics characteristics gives the best biometric authentication reliability and PAD generalisation while remaining compatible with computationally efficient privacy preserving BTP schemes.

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.

Driven by a powerful consortium, composed of nine EUt+ partner universities, two young researcher associations (FJI from Spain and LJZA from Latvia), and two strong industrial partners (ATIT from Romania and ABG from France), the ECROS project aims to revolutionize the professional development of Early-Career Researchers (ECRs) across Europe. The project will establish a cohesive talent ecosystem designed to empower R1 and R2 researchers, equipping them with the necessary skills to thrive in both academic and industrial settings. ECROS will deliver a range of impactful outcomes, including structured career guidance, enhanced collaboration frameworks, and comprehensive support systems for ECRs. By fostering academia-industry partnerships, offering mobility opportunities through industrial PhDs and placements, and providing entrepreneurial training, the project supports the diversification of research careers. The ecosystem will include the creation of the Young Researchers Statute and industry collaboration guidelines, ensuring researchers receive continuous support and recognition throughout their careers. Leveraging the strength of the consortium, the project aligns with the EU's Human Resources Strategy for Researchers (HRS4R) and the Charter and Code for Researchers, promoting policy recommendations for improving ECR conditions across Europe. By integrating these frameworks with a tailored talent toolbox, ECROS contributes to shaping future talent within the European Research Area (ERA), positioning ECRs for success in both academic and industrial sectors.