Il Mondo Maggioli
Being an innovative company means continuously increasing investments in Research and Development (R&D) in order to maintain technological skills at the highest levels in the national and international context. It is thanks to these activities that we have given shape to an area of excellence by developing cutting-edge ICT technologies
The business model of the R&D team is based on the self-financing model, therefore a large part of our research activity is based on projects funded by the European Commission through programs such as Horizon 2020, FP7, Connecting Europe Facility and AAL.
In this context we have collaborated closely with hundreds of European companies, universities and public administrations, deepening challenging and heterogeneous application domains such as industry 4.0, e-health, cyber/physical security, augmented reality and others.
In all projects, our role is always linked to activities that involve the use of innovative ICT technologies. Collaboration with some partners has been particularly productive and a common research environment has been created consolidated in various projects.
We are currently actively involved in 26 projects of the Horizon 2020 and Horizon Europe program.
The R&D department is very important for young people. Among those who participate in the team's activities, many are under 35 and we always try to invite undergraduates and post-graduates to participate in our projects, to apply them concretely on challenging projects in the field of IT technologies and architectures. These experiences contribute to increasing personal skills, at the same time giving the possibility to elaborate research theses or scientific papers.
The initiatives we collaborate with are oriented to specific areas such as Artificial Intelligence, such as Natural Language Processing, Computer Vision and Data Analysis & Predictive, as well as spanning other application domains.
The projects and collaborations range, in any case, on different levels ranging from the regional experience to the European context. With funding from the Puglia Region, the Eolo project is being implemented, a highly innovative cloud services platform to manage the activities of professionals, freelancers and small professional firms; the purpose of the platform is to support users in their daily activities with tools related to their profession and with the joint help of editorial content relevant to their business.
Maggioli R&D department consist of three main branches:
With a total amount about 100 collaborators, the R&D department has seen a rise in the last few years thanks to the beginning and development of various important research projects with prestigious international partners, with whom we are studying cutting-edge ICT solutions and new ways to employ the most advanced technologies.
We have developed strictly proprietary Cloud infrastructure and solutions by identifying and leveraging the best technologies on the market. We provide our clients with the highest levels of security, availability, flexibility and scalability for all their business needs.
Three Data Centers to secure Cloud solutions with reliable AgID (Agency for Digital Italy)-certified service providers and utmost data integrity through data replication services, multiple backup copies, multiple Internet access points.
The Maggioli Group boasts operational partnerships with Data4 (colocation), MiX (Exchange Internet), Retelit (networking), Fortinet (security), VMWare (virtualization), Microsoft (operating systems), Commvault (backup), Hitachi (storage) and enterprise agreements for the commercial distribution of cloud licensing with VMWare (VMWare vCloud Director solution), Microsoft (Azure and 365), Google (Cloud and Workspace), Veeam (Veeam Backup&Recovery) and Acronis (Data Cloud).
EUropean Federation for CAncer IMages (EUCAIM) joins 79 partners to deploy a pan-European digital federated infrastructure of FAIR cancer-related de-identified images from Real-World. The infrastructure is designed to preserve the data sovereignty of providers, and provide a platform, including an Atlas of Cancer Images, for the development and benchmarking of AI tools towards Precision Medicine. EUCAIM will address the fragmentation of existing cancer image repositories by building on repositories of the AI4HI initiative, European Research Infrastructures and national/regional repositories and include clinical images, pathology, molecular and laboratory data.
EUCAIM targets clinicians, researchers, and innovators, providing the means to finally build up validated clinical decision-making systems supporting diagnosis, treatment, and predictive medicine to benefit citizens. EUCAIM will define the legal grounds for the operation on a pan-European scale, adapting to the particularities of different countries on managing clinical data. EUCAIM will implement a federation of providers compliant with this legal ground, defining common data models, ontologies, quality standards, FAIR principles and de-identification procedures. EUCAIM will provide a comprehensive dashboard for data discovery, federated search, metadata harvesting, annotation and distributed processing, including federated and privacy-preserving learning. EUCAIM will build a central hub hosting the Atlas of Cancer Images, to enable development of trustworthy AI tools. EUCAIM will support new providers in building the federation and monitoring the distributed infrastructure. EUCAIM will align with the European Health Data Spaces initiative toward a sustainable flagship repository of high-quality data and tools. EUCAIM brings together clinical data providers, researchers, Research Infrastructures, and industry with mature solutions addressing the challenges of implementing such a cancer imaging infrastructure.
RadioVal is the first multi-centre, multi-continental and multi-faceted clinical validation of radiomics-driven estimation of NAC response in breast cancer. The project builds on the repositories, tools and results of five EU-funded projects from the AI for Health Imaging (AI4HI) Network, including a large multi-centre cancer imaging dataset on NAC treatment in breast cancer. To test applicability as well as transferability, the validation with take place in eight clinical centres from three high-income EU countries (Sweden, Austria, Spain), two emerging EU countries (Poland, Croatia), and three countries from South America (Argentina), North Africa (Egypt) and Eurasia (Turkey).
INCISIVE aims to address three major open challenges in order to explore the full potential of AI solutions in cancer imaging: (1) AI challenges unique to medical imaging, (2) Image labelling and annotation and (3) Data availability and sharing. In order to do that INCISIVE will develop and validate: (1) an AI-based toolbox that enhances the accuracy, specificity, sensitivity, interpretability and cost-effectiveness of existing cancer imaging methods, (2) an automated-ML based annotation mechanism to rapidly produce training data for machine learning research and (3) a pan-European repository federated repository of medical images, that will enable the secure donation and sharing of data in compliance with ethical, legal and privacy demands, increasing accessibility to datasets and enabling experimentation of AI-based solutions.
The INCISIVE models and analytics will utilize various cancer imaging scans, biological data and EHRs, and will be trained with 1 PB of available data provided by 8 partners within the project. INCISIVE solution will be investigated in three validation studies for Lung, Breast, Prostate and Colorectal Cancer, taking place in 8 sites, from 5 countries (Italy, Spain, Greece, Cyprus and Serbia), with participation of at least 2,600 patients and a total duration of 1,5 year. INCISIVE moves beyond the state of the art, by improving sensitivity and specificity of lower cost scanning methods, accurately predicting the tumor spread, evolution and relapse, enhancing interpretability of results and “democratizing” imaging data.
The burden of cancer is rising globally and is estimated to have reached 18.1 million new cases and 9.6 million cancer deaths in 2018. Despite the rising cancer incidence, improvements in early detection and therapeutic treatment have improved cancer survival. As a consequence, the number of cancer survivors is increasing globally, creating the need to improve not only treatment but also wellness and follow‐up care. Cancer treatment often involves combined modalities such as surgery, chemotherapy, and radiotherapy. In the past decades, more effective and targeted therapeutic modalities and less destructive cancer treatments have been developed such as immunotherapy and drug‐targeted therapy. Even so, cancer and its treatment have important physical and psychosocial sequelae.
ONCORELIEF will leverage the above 6 drivers in order to skillfully and methodologically overcome technical challenges, by introducing new approaches that will allow the utilization of big datasets in order to develop a user-centered AI System to facilitate the integration of QoL assessment instruments through the use of PROMs and PREMs in order to improve post-treatment health status, increase the wellbeing, and follow‐up care of cancer patients. This will be achieved through an intuitive smart digital assistant (Guardian Angel), able to provide personalized support in post-treatment activities and tasks, suggest actions regarding the patients’ overall health-status, improved wellbeing and active health-care and ultimately maintain him/her engaged on a wellness journey that will safeguard his/her health over the foreseeable prolonged post-cancer treatment period.
TeNDER will create an integrated care ecosystem for assisting people with chronic diseases of Alzheimer’s (AD), Parkinson’s (PD) and comorbidity with Cardiovascular Diseases (CVD) through the use of affect based micro tools. These microservices will recognise the mood of a person and thus adapt the system’s probes to the person’s needs via a multi-sensorial system, even in the most severe cases, and match with clinical (from Electronic Health Records (EHRs)) and clerical patient information, while preserving privacy, monitoring the ethical principles, providing data protection and security, with the result of an increased Quality of Life (QoL). In addition, interactive communication and social services will strength the elderly support, extending their autonomy and care supply chain.
TeNDER will perform 5 large scale pilots, involving 5 user partners and 1500+ TeNDER final users in 4 different European regions, with at least 735 patients (+40% in the patients control group, making a total of 1030 patients), 85 health professionals (physicians mainly), 30 social workers, 570 caregivers (professional and relatives) and 60 other staff (clerks, Hospital IT support, etc.), to provide tailor suited integrated care services to promote wellbeing and health recovery.
POSITIVE aims at designing, building and commercializing a digital platform for healthy, mobile seniors to prevent future cognitive and physical decline. The platform tackles the problem of growing loneliness and apathy amongst seniors, caused not necessarily by social isolation resulting from immobility but by a lack of meaningful connections and a clear purpose in life. Seniors desire to be not only consumers but also creators. This frequently overlooked fact creates a disconnect between what seniors want and what society and companies offer them. To alleviate that, POSITIVE is designed to address self-actualization needs of seniors.
POSITIVE consists of online (a) physical events facilitation, and (b) content. Both parts are co-created and sustained by the end users – seniors. The events are led by seniors or external organizations and have a personalized broad range from educational topics, through discussion clubs to organizing startups. Content part includes possibilities to share knowledge, learn, track health and be entertained. In order to differentiate itself from other offers, POSITIVE leverages technology and close user design (e.g., psychology-based gamification) in all services.
CarerSupport integrated, deployed and tested an integrated ICT platform enabling the participation and collaboration of informal carers, psychologists and health professionals towards facilitating the training, learning, orientation, and psychological support. In particular, the project deployed and offered to informal carers:
CarerSupport was piloted with the participation of 200 informal carers, formal carers and stakeholders in 7 different pilot sites from 4 European countries (Italy, Norway, Romania and Switzerland).
SOCIABLE piloted a radically new ICT based approach for integrated support of mental activity, as well as boosting of social interaction for individuals that have been diagnosed to suffer from mild dementia. SOCIABLE integrated human support and care services offered by care centers and specialized/expert operators (e.g., geriatric internist, geriatric psychiatrist, neurologist, neuropsychologist), with state-of-the-art ICT infrastructure and independent living technologies.
This new approach was build upon three tested technological pillars, which had proven therapeutical value, namely:
SOCIABLE was piloted with the participation of 350 senior citizens in 7 different pilot sites from 4 European countries (Greece, Italy, Norway and Spain).
Overall, SOCIABLE integrated, deployed and operated an innovative ICT-enabled online service for assessing and accordingly reinforcing the mental state of the elderly through pleasant gaming activities for cognitive training, while at the same time boosting their social networking and activating their day-to-day interpersonal interactions. SOCIABLE was envisaged as a service with high potential for societal impact that could add significant value to current service offerings of care services providers. Furthermore, it was associated with a clear business potential for sustainability and wider use by care service providers within (but also outside of) the SOCIABLE consortium.
The constantly increasing demand of scarce resources and critical raw materials (CRMs), requires efficient usage of resources - reuse and recycling of materials- and responsible waste management and prevention. The circular economy’s model establishes a virtuous cycle where products and resources can be reused, repurposed and recycled to maximize productivity of resources, to reduce waste and by products that can become raw materials (RMs) entering in other industrial processes, thus reducing the depletion of natural resources and the overall environmental effects on climate change. Plooto aims to deliver a Circular and Resilient Information System (CRIS) to support manufacturers in their green, digital and circular transition. CRIS enables waste reduction and end-to-end traceability of Secondary Raw Materials (SRM) through interconnected digital services for real-time decision making, monitoring and certification of materials and products.
Plooto delivers: a) a transformation framework based on traceability strategies for materials/products per business case, with reference processes for SRM use from waste deposit to new products, and governance models for circular value chains; b) ICT tools for modelling product, production processes and supply chains, as an aggregation of individual component Digital Twins with cognition capabilities (cognitive Digital Twins – CDTs); c) Data will feed RM-recovery and waste dataspaces allowing the provision of material certification and product passport; and d) A circular sustainability balanced scorecard (framework+toolkit) to assess impact of decisionmaking at CDT level based on various KPIs. The solution will be piloted in three different circular supply chains demonstrating waste reduction, reusability of scrap and production by-products, operational improvement.
By incorporating different pipelines of machine learning and analytical tools at different levels (from machines to process steps and from processes to the whole production plant), FACTLOG enables the realization of the Cognitive Factory as an ensemble of independent but intertwined ECTs, that are (i) able to self-learn, and thus to effectively detect and react to anomalies and disruptions but also to opportunities that may arise, (ii) enjoy a local or global view of operations and (iii) are capable for short-, mid- and long-term reasoning and optimization.
FACTLOG is driven by several specific, yet indicative, business cases in the process industry and focuses its innovation regarding analytics, AI and optimization on the deployment and assessment of coherent Enhanced Cognitive Twins for the specific sectors represented in FACTLOG and even for the plants in which it will be pilot tested and evaluated. It will be implemented by a just right consortium of twenty partners, five of which are manufacturers and a further three represent manufacturing clusters. Technology and scientific contributors from leading academic institute and focused ICT vendors (mostly SMEs) bring in all necessary knowledge and innovation.
KYKLOS 4.0 will demonstrate, in a realistic, measurable, and replicable way the transformative effects that CPS, PLM, LCA, AR and AI technologies and methodologies will have to the Circular Manufacturing (CM) Framework. To this end, Kthe project will (1) perform large-scale piloting in 7 pilots to demonstrate the technical, environmental and economic viability of its ecosystem to reshape intra-factory processes and services, (2) show the value in terms of operational efficiency improvements by at least 15%, (3) deliver resources reusable solutions (second use of material, part and components reuse) for the whole manufacturing sectors, (4) ensure scalability for future scale of novel CM technologies and services at least at the level of year 2024, (5) engage over 100 key European industry actors, (6) transfer knowledge and technology to increase use of KYKLOS 4.0 Ecosystem to at least 50%, (7) strengthen the position of Europen CM technologies providers and sector fostering a market share of up to 12%, (8) pursue a strong plan for sustainability by incubating at least 3 post-project replication sites, and (9) mobilize additional sector investments of at least 6 times the EC contribution.
AquaSPICE aims at materializing circular water use in the European Process Industries, fostering awareness in resource-efficiency and delivering compact solutions for industrial applications. That challenging aim necessitates (i) multiple state-of-the-art water treatment and re-use technologies, (ii) diverse closer-loop practices regarding water, energy and substances, (iii) a cyber-physical-system controller in the form of a system for real-time monitoring, assessment and optimization of water (re-)use at different interconnected levels and (iv) an effective methodological, regulatory and business framework. AquaSPICE not only offers these but claims their sufficiency, as also supported by the breadth of European process industries who are here to evaluate (i)-(iv).
AquaSPICE’s innovations emanate from the requirements of 6 Case Studies, involving 8 industrial actors (DOW, BASF, Water-Link, Solvay, ARETUSA, Agricola, JEMS and TUPRAS) in 6 EU countries (Germany, Netherlands, Belgium, Italy, Slovenia and Romania) and 1 associated country (Turkey).
ENERMAN envisions the factory as a living organism that can manage its energy consumption in an autonomous way. It will create an energy sustainability management framework collecting data from the factory and holistically process them to create dedicated energy sustainability metrics. These values will be used to predict energy trends using industrial processes, equipment and energy cost models. ENERMAN will deliver an autonomous, intelligent decision support engine that will evaluate the predicted trends and access if they match predefined energy consumption sustainability KPIs. If the KPIs are not met, ENERMAN will suggest and implement changes in energy affected production lines control processes: an energy aware flexible control loop on various factory processes will be deployed.
The ENERMAN administrators will be able to use the above mechanisms in order to identify how future changes in the production lines can impact energy sustainability using the ENERMAN prediction engine (based on digital twins) to visualize possible sustainability results when in-factory changes are made in equipment, production line. The ENERMAN digital twin will predict the economic cost of the consumed energy based on the collected and predicted Energy Peak load tariff, Renewable Energy System self-production, the variations in demand response, possible virtual generation and prosumer aggregation. Finally, ENERMAN considers the operators actions within the production chain as part of a factory’s energy fingerprint since their activity within the factory impacts the various production lines. In ENERMAN, we include a training mechanism with suggested personnel good practices for energy sustainability improvement through the production lines. Current and predicted energy consumption/sustainability trends on specific assets of the factory are collected and visualized in a Virtual, eXtended reality model of the factory to enhance the situational energy awareness of the factory personnel.
EU Higher Education Institutions (HEIs) have more than 128 cybersecurity academic programs (undergraduate and graduate) as identified by ENISA (CyberHEAD), JRC (ATLAS) and a variety of reports by the 4 pilot projects (Sparta, CyberSec4Europe, ECHO, CONCORDIA). These academic programs, with their static curricula, do not provide the dynamic capabilities and emerging skills needed in the market. The digital transformation imposes the HEIs to enhance their role in preparing the new generation workforce and to upskill the existing one in meeting the challenging and ever-growing cybersecurity challenges (e.g., massive AI attacks).
Seventeen (17) HEIs and thirteen (13) security companies from sixteen (16) Member States propose the agile CyberSecPro professional cybersecurity practical and hands-on training program that will complement, support and advance the existing academic programs by linking innovation, research, industry, academia and SME support. CyberSecPro aims to bridge the gap between degrees, working-life and marketable cybersecurity skill sets necessary in the digitalization efforts and become the best practice for all cybersecurity training programs.
LAZARUS is a three-year research and innovation project that aims to heal many of the security issues that befall modern software during its development lifecycle. The recently introduced area of DevSecOps - in medium to large companies - unfortunately lacks automated security tools, while most existing solutions are targeting only one narrow step of the SDLC process but miss a much needed holistic overview of the global security solution. LAZARUS innovates by intervening in multiple steps of the SDLC, performing targeted security checks and collecting valuable information and intelligence from each step, and exploiting advanced ML and AI methods to convert this intelligence into actionable insights and recommendations.
The main innovations of LAZARUS are illustrated in the figure below. Moreover, we provide advanced features for developers, that employing our tools would be able to deploy more intelligent and distributed solutions through dedicated APIs. LAZARUS follows an open-source approach for the core functionality, which is supported by a realistic and viable business model for the sustainability and further exploitation of the project after it reaches the end of this financing phase.
GUARD aims to develop an open and extensible platform for advanced assurance and protection of trustworthy and reliable business chains spanning multiple administrative domains and heterogeneous infrastructures. The purpose is manifold: i) to increase the information base for analysis and detection, while preserving privacy, ii) to improve the detection capability by data correlation between domains and sources, iii) to verify reliability and dependability by formal methods that take into account configuration and trust properties of the whole chain, and iv) to increase awareness by better propagation of knowledge to the humans in the loop.
The distinctive approach of GUARD will be the architectural separation between analysis and data sources, mediated by proper abstraction; this paradigm will result in an open, modular, pluggable, extendable, and scalable security framework. This holistic solution will blend security-by-design with enhanced inspection and detection techniques, raising situational awareness at different levels of the companies’ structure by tailored informative contents, so to enable quick and effective reaction to cyber-threats.
CYRENE vision is to enhance the security, privacy, resilience, accountability and trustworthiness of Supply Chains (SCs) through the provision of a novel and dynamic Conformity Assessment Process (CAP) that evaluates the security and resilience of supply chain services, the interconnected IT infrastructures composing these services and the individual devices that support the operations of the SCs. In order to meet its objective, the proposed Conformity Assessment Process is based on a collaborative, multi-level evidence -driven, Risk and Privacy Assessment Approach that support, at different levels, the SCs security officers and operators to recognize, identify, model, and dynamically analyse advanced persistent threats and vulnerabilities as well as to handle daily cybersecurity and privacy risks and data breaches.
CYRENE will be validated in the scope of realistic scenarios/conditions comprising of real-life supply chain infrastructures and end-users. Furthermore, the project will ensure the active engagement of a large number of external stakeholders as a means of developing a wider ecosystem around the project’s results, which will set the basis for CYRENE’s large scale adoption and global impact.
CyberSANE aims to enhance the security and resilience of Critical Information Infrastructures (CIIs) by providing a dynamic collaborative, warning and response system supporting and guiding security officers and operators (e.g. Incident Response professionals) to recognize, identify, dynamically analyze, forecast, treat and respond to advanced persistent threats (APTs) and handle their daily cyber incidents utilizing and combining both structured data (e.g. logs and network traffic) and unstructured data (e.g. data coming from social networks and dark web).
In achieving that aim, CyberSANE will introduce a holistic and privacy-aware approach in handling security incidents, addressing the complexity of these nets consisting of cyber assets hosted in cross-border, heterogeneous Critical Information Infrastructures (CIs). Moreover, CyberSANE is fully in-line with relevant regulations (such as the GDPR and NIS directive), which requires organizations to increase their preparedness, improve their cooperation with each other, and adopt appropriate steps to manage security risks, report and handle security incidents.
MITIGATE will realize a radical shift in risk management methodologies for the maritime sector towards a collaborative evidence-driven Maritime Supply Chain Risk Assessment (g-MSCRA) approach that alleviates the limitations of state-of-the-art risk management frameworks. To this end, the project will integrate, validate and commercially exploit an effective, collaborative, standards-based risk management (RM) system for port’s critical information infrastructures (CIIs), which shall consider all threats arising from the global supply chain, including threats associated with portCIIs interdependencies and associated cascading effects.
The MITIGATE system will enable port and other maritime supply chain participants’ operators to manage their security in a holistic, integrated and cost-effective manner, while at the same time producing and sharing knowledge associated with the identification, assessment and quantification of cascading effects from the global ports’ supply chain. In this way, they will be able to predict potential security incidents, but also to mitigate and minimize the consequences of divergent security threats and their cascading effects in the most cost-effective way, i.e. based on evidence associated with simulation scenarios and security assurance models.
UPCAST provides a set of universal, trustworthy, transparent and user-friendly data market plugins for the automation of data sharing and processing agreements between businesses, public administrations and citizens. Our plugins will enable actors in the common European data spaces to design and deploy data exchange and trading operations guaranteeing (i) automatic negotiation of agreement terms, (ii) dynamic fair pricing, (ii) improved data-asset discovery, (iii) privacy, commercial and administrative confidentiality requirements, (iv) low environmental footprint, as well as ensuring compliance with (v) relevant legislation and (vi) ethical and responsibility guidelines. UPCAST will support the deployment of Common European data spaces by consolidating mature research in the areas of data management, privacy, monetisation, exchange and automated negotiation, considering efficiency for the environment as well as compliance with EU and national initiatives, AI regulations and ethical procedures.
Four real-world pilots across Europe will operationalise a set of working platform plugins for data sharing, monetisation and trading, deployable across a variety of different data marketplaces and platforms, ensuring digital autonomy of data providers, brokers, users and data subjects, and enabling interoperability within European data spaces. UPCAST aims at engaging SMEs, administrations and citizens by providing a transferability framework, best practices and training to endow users in order to deploy the new technologies and maximise impact of the project.
DataVaults aims to deliver a framework and a platform that has personal data, coming from diverse sources in its centre and that defines secure, trusted and privacy preserving mechanisms allowing individuals to take ownership and control of their data and share them at will, through flexible data sharing and fair compensation schemes with other entities (companies or not).
The overall approach will rejuvenate the personal data value chain, which could from now on be seen as a multi-sided and multi-tier ecosystem governed and regulated by smart contracts which safeguard personal data ownership, privacy and usage and attributes value to the ones who produce it.
NEMO aims to establish itself as the game changer of AIoT-Edge-Cloud Continuum by introducing an open source, flexible, adaptable, cybersecure and multi-technology meta-Operating System, sustainable during and after the end of the project, via the Eclipse foundation (NEMO consortium member).
To achieve technology maturity and massive adoption, NEMO will not “reinvent the wheel”, but leverage and interface existing systems, technologies and Open Standards, and introduce novel concepts, tools, testing facilities/Living Labs and engagement campaigns to go beyond today’s state of the art, make breakthrough research and create sustainable innovation, already within the project lifetime. NEMO will introduce innovations at different layers of the protocol stack, enabling on-device Cybersecure Federated ML/DRL, deliver time-triggered (TSN) multipath ad-hoc/hybrid self-organized and zero-delay failback/self-healing multicloud clusters, multi-technology Secure Execution Environment and on-Service Level Objectives meta-Orchestrator, Plugin and Apps Lifecycle Management and Intent Based programming tools. Moreover, NEMO will be “by design” and “by innovation” cybersecure and trusted adopting state of the art mechanisms such as Mutual TLS and Digital Identity Attestation. NEMO will be validated in 5 most prominent industrial sectors (i.e. Farming, Energy, Mobility/City, Industry 4.0 and Media/XR) and 8 use cases in 5 +1 Living Labs, utilizing more than 30 heterogenous IoT devices and real 5G infrastructure. The impact will not only safeguard EU position in data economy and applications verticals, but lower energy efficiency, reduce pesticides and CO2 footprint. Beyond Eclipse adoption, NEMO sustainability, wide acceptance and SMEs engagement will be achieved via open source ecosystems, standardization initiatives and 2 Open Calls that will provide financial support of 1,8M€ and access to NEMO Living Labs to SMEs and enlarge NEMO by at least 16 new entities
UNICORN aims to simplify the design, deployment and management of secure and elastic – by design – multi-cloud services. This will be achieved by i) development and design libraries that will provide security enforcement mechanisms, data privacy restrictions, monitoring metric collection and resource management across multiple cloud sites; ii) enabling continuous orchestration and automatic optimization of portable and dynamic cloud services running on virtual instances or micro-execution containers for increased security, data protection privacy and vast resource (de)allocation.
Towards this end, and building upon this umbrella concept, the UNICORN vision can be considered two-fold: to enable software developers to design and develop secure and elastic applications and to increase the awareness of all stakeholders, in particular SMEs and Startups. UNICORN will reduce software release time and provide a powerful tool for SMEs to improve software design and continuous productivity enhancement.
ARCADIA aims to facilitate application developers to develop a software that is able to take advantage of the underlying infrastructure, while in parallel support the deployment and dynamic configuration of applications in an optimal and autonomic manner. The proposed framework will rely on the design and development of a novel reactive software development paradigm for concurrent and highly distributed applications as well as the design and development of holistic applications’ deployment and management framework over programmable infrastructure. The notion of breakdown of applications in a set of micro-services along with the definition of appropriate service chaining schemes that are used during the applications’ deployment and execution time is dominant within the project. Adoption of principles and techniques already available in novel software engineering paradigms as well as those evolved within the Network Function Virtualization (NFV) and Software Defined Networking (SDN) era are highly envisaged.
ARCADIA’s reference implementation and developed toolkits are going to facilitate application developers to design and develop infrastructural-agnostic applications and lead to the evolvement of novel and innovative paradigms for the deployment of advanced applications, boosting in this way their productivity as well as the competitiveness of the EU software development industry. Furthermore, the development of applications executed over programmable infrastructure will enable the deployment of eco-systems offering a plethora of innovation opportunities for software industry as well as SMEs. Advanced applications and end-to-end services may be introduced at lower risk while keeping the network reliable and secure and improving its utilization and operational efficiency.
SEPTON aims to address the gap in the generic technologies and processes referring to the IT network infrastructure with a holistic approach towards reinforcing NMD security within the healthcare centre premises. The project will advance cutting-edge solutions in healthcare cybersecurity targeting the aforementioned health providers and particularly focusing on networked medical devices (NMDs).
The SEPTON approach will result in a comprehensive cybersecurity toolkit providing tools and mechanisms to be used in hospitals and care centres for
NESTOR aims to demonstrate a fully functional next generation holistic border surveillance system providing pre-frontier situational awareness beyond maritime and land border areas following the concept of the European Integrated Border Management. NESTOR long-range and wide area surveillance capabilities for detection, recognition classification and tracking of moving targets (e.g. persons, vessels, vehicles, drones etc.) is based on optical, thermal imaging and Radio Frequency (RF) spectrum analysis technologies fed by an interoperable sensors network including stationary installations and mobile manned or unmanned vehicles (aerial, ground, water, underwater) capable of functioning both as standalone, tethered and in swarms. NESTOR BC3i system will fuse in real-time border surveillance data combined with web and social media information, creating and sharing a prefrontier intelligent picture to local, regional and national command centers in AR environment being interoperable with CISE and EUROSUR.
METICOS aims to introduce Big Data Analysis of border control information systems, in order to provide a step-change towards more modern and efficient Smart Border management and towards gaining societal and political acceptance of modern control technologies of EU borders such as “no gate solutions”. It is therefore positioned as an initiative to create a real-time decision-support system with regard to different Smart Border control technologies that empowers two major stakeholder groups within the European border control sector (i.e., travellers and border control authorities & service providers) to ensure user acceptance, secure positive societal impact and maximize border control process efficiency.
To this end, the METICOS project will develop a platform that integrates information systems and networks of data sources in order to validate the efficiency and users acceptance of border control technologies like fingerprint and iris scanners. The proposed platform will provide metrics and KPIs to authorities and decision makers, based on a number of independent variables: performance expectancy, effort expectancy, facilitating conditions, physical privacy, accuracy, information privacy, ethical and societal perceptions. METICOS will be demonstrated and validated under real operating conditions. This will involve two pilot implementations executed at five different countries involving real travellers and staff.
The Search and Rescue project will design, implement and test through a series of large scale pilot scenarios a highly interoperable, modular open architecture platform for first responders capitalising on expertise and technological infrastructure from both COncORDE and IMPRESS FP7 projects. The governance model of Search and Rescue will be designed to operate more effectively and its architectural structure will allow to easily incorporate next generation R&D and COTS solutions which will be possibly adopted in the future disaster management systems. The Model will also support a unified vision of the EU role and will provide a common framework to assess needs and integrate responses. The framework will enable supportive approach using a wider range of decisional support features and monitoring systems and will also give to first responders an effective and unified vision of (a) the dynamic changes going on during event’s lifetime and (b) the capabilities and resources currently deployed in the field.
UP2030 aims to guide cities through the socio-technical transitions required to meet their climate neutrality ambitions. It will do so by enabling a quantum leap from a ´business as usual´, project-by-project decarbonisation approach to a vision-driven, strategy-based approach that is anchored on sound projects and renewed policy development.
The approach uses urban planning and design as a vehicle to create better connected, more compact, net-zero neighbourhoods in the city pilots – i.e. neighbourhoods that promote liveability and, through designing with intent, promote mitigation action. Unlike fragmented innovation processes that focus on the deployment of a specific solution to achieve incremental progress, UP2030 proposes that cities should themselves be at the centre of the innovation approach to drive transformative change.
The project develops the 5UP methodological framework that supports cities in:
AI4Gov is a joint effort of policy makers, public institutions / organizations, legal, Social Science and Humanities and Big Data/AI experts to unveil the potentials of Artificial Intelligence (AI) and Big Data technologies for developing evidence-based innovations, policies, and policy recommendations to harness the public sphere, political power, and economic power for democratic purposes. The project will also uphold fundamental rights and values standards of individuals when using AI and Big Data technologies. Hence, the project aims to contribute to the promising research landscape that seeks to address ethical, trust, discrimination, and bias issues by providing an in-depth analysis and solutions addressing the challenges that various stakeholders in modern democracies are faced with when attempts are made to mitigate the negative implications of Big Data and AI.
In this direction, the project will introduce solutions and frameworks towards a two-fold sense, to facilitate policymakers on the development of automated, educated and evidence-based decisions and to increase the trust of citizens in the democratic processes and institutions. Moreover, the project will leverage the capabilities of state-of-the-art tools for providing un-bias, discrimination-free, fair, and trusted AI. These tools will be validated in terms of their ability to provide technical and/or organisational measures, causal models for bias and discrimination, and standardized methodologies for achieving fairness in AI.
PolicyCLOUD delivers a unique integrated environment addressing the full lifecycle of policy management: modelling, monitoring, enforcing, simulation, analysis and compliance. The environment will utilize the capabilities offered by the European Cloud Initiative, with an emphasis on data analysis to facilitate evidence-based policy making. The co-creation of multi-modal policies will follow an innovative modelling process for structural representation of schema-based policies.
PolicyCLOUD environment will integrate a set of reusable models and tools, ranging from social dynamics and behaviour analysis, to situational knowledge acquisition, opinion mining and sentiment analysis, complemented with tools for data aggregation, linking and cleaning. Citizen participation will be ensured exploiting techniques for incentives management and a Living Lab approach put forward by the project. A toolkit which allows the specification of transferable and re-usable analytics tasks in a declarative way, their integration in the policies management path, as well as an adaptive visualization environment, will realize PolicyCLOUD’s vision of openness and extensibility.
The intense ongoing work towards 5G readiness has reached the point where the performance gains provided by 5G infrastructures should be exploited by third party innovators and SMEs, to create a new, open and dynamic ecosystem from both technology and marketing perspectives. Towards the materialization of the 5G performance gains at application and market level, key contributions are expected by the domain of design and development of Network Application (NetApp). In this context, EVOLVED-5G endorses the vision where the world of NetApps follows the paradigm of mobile applications hosted in a related market place.
Moreover, the EVOLVED-5G project will contribute towards the fourth industrial revolution or Industry 4.0. Recognized as one of the major vertical industries by 5G-PPP (referring to the digital evolving of workspaces), Industry 4.0 brings innovative use cases, yet technologically challenging, and create a fertile environment for SME-driven entrepreneurship, where new use case-tailored functions (as NetApps) can be provided to compose a digitalized, secure, and automated generation of the industrial operations (mainly referring to functions for process and machine control as well as procedures for advanced product lifecycle management). The industry-oriented EVOLVED-5G NetApps will be tested, validated, and certified in a vendor-agnostic experimentation platform, and progressively define the first set of NetApps that the EVOLVED-5G marketplace will host.
The main objective of the project Motor-5G is to motivate and skill competitive young researchers through involvement and engagement in a variety of research activities enabling them to work on real-life technical issues, across multiple European countries and organizations, and providing a strong networking opportunity through participation as speakers in conference and workshop events and through engagement with industry and other stakeholders (e.g., standardization). We also want to provide them with communications skills, the ability to work in groups and an understanding of the integrity and ethics in research.
The project focus is on embedding artificial intelligence into 5G communication systems for the smarter use of network-generated data, the automated enabling of network operators and service providers to adapt to changes in traffic patterns, security risks and user behavior and thus paving the way towards safe and reliable next-generation wireless ecosystems.
The project considers aspects such as use of drone-based technology for enhanced multi-antenna and data forwarding techniques, use of artificial intelligence for novel adaptive digital beamforming techniques applied on realistic antenna arrays; communications in the millimetre-wave bands, blockchain-based approach to spectrum management and sharing, use of machine learning for enhanced quality of experience, and would in parallel focus on novel business models to sustain profitable operation of beyond 5G ecosystems. The research team would comprise young researches supervised by committed experts from the industry and academia to advance the state of the art in the above areas. Three demonstration scenarios have been
VOX is an ambitious project whose goal will be to facilitate and exploit the convergence of two important technologies, natural language processing (NLP) and computer vision (CV). Both technologies are experiencing a huge performance increase due to the emergence of data-driven methods, specifically machine learning (ML) and artificial intelligence (AI). On the one hand, CV/ML are driving the extended reality (XR) revolution beyond what was possible up to now, and, on the other, speech-based interfaces and text-based content understanding are revolutionising human-machine and human-human interaction.
VOX will employ an economical approach to combine these two. VOX will pursue the integration of language- and vision-based AI models with either unidirectional or bidirectional exchanges between the two modalities. Vision systems drive both AR and VR, while language understanding adds a natural way for humans to interact with the back-ends of XR systems or create multimodal XR experiences combining vision and sound.
The results of the project will be twofold:
XR2Learn will deliver the XR2Learn platform around which it establishes a cross-border innovation community for XR in learning, bringing XR technology providers, application designers, education experts, application developers, end-users and decision makers in direct access to communicate, collaborate and matchmake interests enabling also bottom up innovation creation. XR2Learn will go beyond offering sound technical and business support for the creation of XR applications for education: XR2Learn will provide access to authoring tools for development of applications through its platform, deliver tools for emotion/affect detection and for automated adaptation of the learning experience to the user needs and emotions, deliver guidance relevant to educational design and use case definition, provide opportunities for piloting and user testing mediated by the large networks brought by XR2Learn partners, promote tools that enable and boost the re-use and sharing of the learning materials/XR applications, offer business development support and additionally, support IPR management through NFTs enabling novel business model implementation. XR2Learn will support innovators (ICT-SMEs) all the way from ideation to commercialisation offering them tailored business and technical support as well as direct funding through FSTPs.
BRIDGES aims to support and boost the pan-European interactive technologies industry and contribute to “bridging” the gap between interactive technologies and industry, through the development of a holistic solution for (remote and co-located) group interaction in room-scale immersive mixed reality (or eXtended Reality – XR) environments that blend the physical and virtual space. The BRIDGES solution is based on an existing platform, the Immersive Deck, which will be further researched and developed into a turn-key product with widespread applicability that may act as a stimulus for the uptake of interactive technologies by industry.
BRIDGES will focus on the areas of training and informal learning, culture, and entertainment, as it is widely recognized that immersive XR is an extremely promising tool for the enhancement of a user’s experience in these areas, and an optimal medium for achieving enhanced performance, engagement, a high level of effectiveness, and the transfer of skills and knowledge into the real world. To ensure widespread uptake, within BRIDGES, we will be carrying out extensive and comprehensive studies to validate the proposed solution “in-the-wild”, i.e. in the real world settings of major international airports in Germany and Greece for training firefighters and first responders, and in a highly visited informal educational and cultural center – museum in Greece, for enhancing the learning and recreational experience of visitors. The extensive validation effort undertaken by BRIDGES is expected to lead to the short-term commercial deployment of the BRIDGES end-results in the specific domains addressed by the project pilots, but also to provide replicability recommendations and scale-up guidelines for deploying the resulting XR platform in other industrial and entertainment domains, in the longer term.
SYNERGIES introduces a reference Energy Data Space Implementation that will attempt to unleash the data-driven innovation and sharing potential across the energy data value hain by leveraging on data and intelligence coming from diverse energy actors (prioritizing on consumers and introducing them as data owners/ providers) and coupled sectors (buildings, mobility) and effectively making them reachable and widely accessible.
In turn, it will facilitate the transition from siloed data management approaches to collaborative ones which promote the creation of a data and intelligence ecosystem around energy (and other types of) data and enable the realization of data (intelligence)-driven innovative energy services that (i) value the flexibility capacity of consumers in optimizing energy networks’ operation, maximizing RES integration and self-consumption at different levels of the system (community, building), (ii) evidently support network operators in optimally monitoring, operating, maintaining and planning their assets and coordinating between each other (TSO-DSO collaboration) for enhancing system resilience, (iii) create an inclusive pathway towards the energy transition, through consumer empowerment, awareness and informed involvement in flexibility market transactions, (iv) step on real data streams and intelligence to deliver personalized and automated features to increase prosumer acceptance and remove intrusiveness, (v) facilitate the establishment of sustainable LECs by enhancing their role with Aggregator and BSP functions, and (vi) establish solid grounds for the creation of a new economy around energy data produced and shared across a complex value chain, in a secure, trustful, fair and acceptable manner.
Duration: 30 months
Budget: €. 1.748.987,00
Founding: € 221.597,00
Role: System developer; WP3 Leader
Sito web: http://life-genera.eu/
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SYNERGY introduces a novel reference big data architecture and platform that leverages data, primary or secondarily related to the electricity domain, coming from diverse sources (APIs, historical data, statistics, sensors/ IoT, weather, energy markets and various other open data sources) to help electricity stakeholders to simultaneously enhance their data reach, improve their internal intelligence on electricity-related optimization functions, while getting involved in novel data (intelligence) sharing/trading models, in order to shift individual decision-making at a collective intelligence level.
To this end SYNERGY will develop a highly effective a Big Data Platform and AI Analytics Marketplace, accompanied by big data-enabled applications for the totality of electricity value chain stakeholders (altogether integrated in the SYNERGY Big Data-driven EaaS Framework). SYNERGY will be validated in 5 large-scale demonstrators, in Spain, Greece, Finland, Austria, and Croatia, involving diverse actors and data sources, heterogeneous energy assets, varied voltage levels and network conditions and spanning different climatic, demographic and cultural characteristics.
TREEADS aims to build upon state-of-the-art high TRL products and unite them in a holistic Fire Management platform that optimize and reuse per phase the available Socio-technological Resources in all three main phases of Wildfires. For the prevention and preparedness TREEADS propose the use of a real-time risk evaluation tool that can receive multiple classification inputs and work with a new proposed neural network-powered Risk factor indicator. To create a model of Fire adapted communities (FAC) in parallel to insurance incentives, TREEADS will use alkali activated construction materials (AAM) integrating post-wildfires wood ashes (PWA) for fire-resilient buildings and infrastructure. TREEADS also uses a variety of technological solutions such as the Copernicus infrastructure, and a swarm of small drones customized for accurate forest supervision. In the area of Detection TREEADS propose a variety of toolsets that will accommodate most needs.
Stemming from Virtual reality for the training, wearables for the protective equipment of the emergency responders. to UAV (drones), UAG and airships for improving capacity in temporal and spatial analysis as well as to increase the inspected area coverage.. Last, TREEADS will build a new land and field-based restoration initiative that will use all modern techniques such as agroforestry, drones for seed spread, Internet of things sensors that will be able to adapt the seeding process based on the ground needs and on the same time with the help of AI to determine post-fire risks factors. TREEADS solution will be demonstrated and validated under real operating conditions. Demonstration will involve Eight complex pilot implementations executed in seven EU countries and in Taiwan.
The overall goal of leADS is to provide insights into the changing advanced digital skills (ADS) demands within a dynamic technological development context and current digital transformation to equip skills suppliers (education and training) with the knowledge, guidance and best practices to shape the future of European ADS talent and support the effective implementation and collaborative success of the ADS programme within the Digital Europe Programme (DEP). leADS will act across three key areas within which it will develop key knowledge (ADS Demand Report, ADS Gap Analysis) and insights that will be translated into actions and guidance (ADS Guidelines, ADS Roadmap) through active engagement with the broader education and training community and the SPECIALISED cohort of projects through deficaded topic groups (Impact Analysis, DIGITAL ADS Recommendations) directly connecting them with the skills ecosystem (Supply, Demand Generators, Demand).