Cybersecurity Made In Europe LABEL
To help European cybersecurity companies position themselves on the market and be recognized as European, the European Cyber Security Organisation (ECSO) has initiated the Cybersecurity Made in Europe Label. This initiative involves introducing an industry-driven quality label, designed to promote European cybersecurity companies and increase their visibility on the European and on the global market. The Label will contribute strongly toward a stronger vision of a cyber-secure digital Europe.
REPLICATE – REnaissance of Places with Innovative Citizenship and Technology
1 Febbraio 2016 – 31 Gennaio 2021
The objective of REPLICATE is to demonstrate Smart City technologies in energy, transport and ICT in districts in San Sebastia, Florence and Bristol addressing urban complexity and generate replication plans in other districts and in follower cities of Essen, Nilufer and Lausanne.
1 febbraio 2019 – 31 gennaio 2022
SPARTA mira a reinventare il modo in cui la ricerca, l’innovazione e la formazione sulla sicurezza informatica vengono svolte in Europa in tutti i settori e le competenze, dalle fondamenta alle applicazioni, nel mondo accademico e industriale. SPARTA creerà una comunità di lunga durata in grado di collaborare per definire, sviluppare, condividere ed evolvere soluzioni che aiuteranno i professionisti a prevenire il crimine informatico e migliorare la sicurezza informatica
1 settembre 2019 – 31 agosto 2022
Il progetto CyberSANE propone una soluzione all’avanguardia per migliorare il rilevamento e l’analisi degli attacchi informatici alle infrastrutture critiche. Si aggiunge quindi alla base di conoscenze sulla situazione attuale relativa a questo tipo di minaccia informatica. Inoltre, CyberSANE supporta gli operatori della sicurezza (come i professionisti della risposta agli incidenti) nella preparazione, nella risposta e nell’adozione delle misure appropriate per la gestione dei rischi, nonché nel processo decisionale relativo agli incidenti di sicurezza.
Scientific Large-scale Infrastructure for Computing/Communication Experimental Studies – Design Study
1 Settembre 2020 – 31 agosto 2022
The main objective of SLICES-DS is to adequately design SLICES in order to strengthen research excellence and innovation capacity of European researchers and scientists in the design and operation of Digital Infrastructures. The SLICES Design study will build upon the experience of the existing core group of partners, to prepare in details the conceptual and technical design of the new leading edge SLICES-RI for the next phases of the RI’s lifecycle.
1 giugno 2020 – 31 maggio 2023
The EU-funded E-CORRIDOR project will develop a flexible, secure and privacy-aware framework aimed at ensuring the safety and security of multimodal transport systems. Specifically, it will design a framework for the security of passengers and transportation operators. Collaborative policy-aware edge-enabled information sharing, analysis and protection-as-a-service will form the basis of the new framework.
1 Settembre 2020 – 31 agosto 2023
The EU-funded HumanE-AI-Net project brings together leading European research centres, universities and industrial enterprises into a network of centres of excellence. Leading global artificial intelligence (AI) laboratories will collaborate with key players in areas, such as human-computer interaction, cognitive, social and complexity sciences. The project is looking forward to drive researchers out of their narrowly focused field and connect them with people exploring AI on a much wider scale. The challenge is to develop robust, trustworthy AI systems that can ‘understand’ humans, adapt to complex real-world environments and interact appropriately in complex social settings. HumanE-AI-Net will lay the foundations for designing the principles for a new science that will make AI based on European values and closer to Europeans.
1 ottobre 2020 – 30 settembre 2023
SIFIS-Home aims at providing a secure-by-design and consistent software framework for improving resilience of Interconnected Smart Home Systems at all stack levels. To this end, the framework enables the development of security, privacy aware and accountable applications, algorithms and services, and makes it possible to detect and dynamically react to cyber-attacks and intrusion attempts or violation of user-defined policies, thus increasing control and trust of Smart Home end users,
1 novembre 2020 – 31 ottobre 2023
The EU-funded MEDINA project will propose a framework for achieving a continuous audit-based certification for cloud service providers, complying with the EU Cybersecurity Act. The project will also address the definition and assessment of technical and organisational measures, security testing, machine-readable certification language and audit evidence management.
Multimodal Extreme Scale Data Analytics for Smart Cities Environments
1 gennaio 2021 – 31 dicembre 2023
MARVEL aims to collect, analyse and data mine multi-modal audio-visual data streams of a Smart City and help decision makers to improve the quality of life and services to the citizens without violating ethical and privacy limits in an AI-responsible manner.
1 gennaio 2020 – 31 dicembre 2023
SoBigData ++ è il progetto europeo che si configura come l’implementazione del precedente Progetto SoBigData (2015-2019). Il progetto ha l’obiettivo di dare vita ad un’infrastruttura di ricerca distribuita, paneuropea e multidisciplinare per l’analisi dei big social data, e al contempo supportare il consolidamento di una comunità di ricerca europea interdisciplinare, finalizzata all’utilizzo del social mining e dei big data per comprendere la complessità del nostro contemporaneo, ormai una società interconnessa a livello globale.
Scientific Large-scale Infrastructure for Computing/Communication Experimental Studies – Starting Community
expected: 1st February 2021 – 31st January 2024
With SLICES-SC, we aspire to foster the community of researchers around this ecosystem, create and strengthen necessary links with relevant industrial stakeholders for the exploitation of the infrastructure, advance existing methods for research reproducibility and experiment repeatability, and design and deploy the necessary solutions for providing SLICES-RI with an easy to access scheme for users from different disciplines. A set of detailed research activities has been designed to materialize these efforts in tools for providing transnational (remote and physical) access to the facility, as well as virtual access to the data produced over the facilities. The respective networking activities of the project aspire in fostering the community around these infrastructures, as well as open up to new disciplines and industrial stakeholders.
Social Explainable AI (SAI)
expected: 1st February 2021 – 31st January 2024
SAI will develop the scientific foundations for novel ML-based AI systems where (i) each individual is associated with its own “local AI twin” (called Personal Data Ecosystem, PDE), which acts as the individual’s proxy in a complex ecosystem of interacting PDEs; (ii) PDEs elaborate local data via explainable AI models tailored to the specific characteristics of their human peers; (iii) PDEs interact with each other to build more complex global AI models and/or come with collective outcomes built on the local models; (iv) interaction between local PDEs is driven by (quantifiable) models of the individual and social behaviour of their human peers; (v) quantifiable human behavioural models coupled with complex network analysis makes the global AI models and outcomes explainable-by-design. The ultimate goal of SAI is thus to provide the foundational elements enabling a collective of distributed explainable AI PDEs to create, via a human-centric approach, global AI models whose processes and outcomes are explainable and tailored to the needs and constraints of individual users. The interactions between PDEs in SAI will be engineered to preserve the plurality of information inherent in the data, giving them all the elements to take informed decisions and avoid biases, or, at least, to transparently expose biases inherent in data and in the decision process.
Pitem Pa.C.E. – Far Conoscere
Far conoscere (Faire connaitre) si propone, tramite il censimento, la digitalizzazione e la successiva valorizzazione del patrimonio culturale materiale e immateriale, di realizzare percorsi tematici, legati a varie epoche storiche, per fare emergere le specificità e le attrattività dei territori dell’area ALCOTRA.