Big Data proccesing and analytics – Multimodal Data Fusion and Analytics Group

ICARIA

ICARIA Improving ClimAte Resilience of crItical Assets The frequency of natural disasters has steadily increased over the past two decades. It is far from irrational to assume that this trend could be significantly worsened in a short and long-time period according to reported climate change projections. With the help of a multidisciplinary team and a firm foundation, ICARIA aims to advance the use of asset-level modeling to better understand the direct and indirect effects of climate change caused by complex, cascading and compound disasters as well as the related risk reduction provided by suitable, sustainable, and affordable adaptation solutions. ICARIA focuses on both critical assets and infrastructures taking into account potential climate changes that can increase unexpected outages and failures, including but not limited to housing, natural, and land areas.…

TeChBioT

TeChBioT Surveillance and Reconnaissance Techniques for Chemical & Biological Threats Threats associated with chemical, biological, radiological and nuclear (CBRN) hazards include natural disasters, accidental incidents during the installation or transportation of hazardous materials, as well as intentional incidents, such as terrorist attacks or state-sponsored events. Over the past decade, CBRN threats that originate deliberately have persisted or even increased. However, the COVID-19 pandemic is the event that has generated the most attention regarding the social, political, and economic consequences of CBRN crises in general, as well as biological/ health emergencies and civil protection mechanisms. Important gaps and weaknesses remain in rapid detection, identification, and monitoring of low-volatile chemical warfare agents (CWAs) and non-volatile biological warfare agents (BWAs), mainly in complex natural environments. Gas chromatography combined with mass spectrometry (GC-MS) or…

DiMAT

DiMAT Digital Modelling and Simulation for Design, Processing and Manufacturing of Advanced Materials The DiMAT project addresses the sustainability and resilience of processes and systems within the materials manufacturing industry. An important takeaway from crises such as climate change and the pandemic was that sustainable action and resilient processes need to be the standard, not the exception. The digital transformation in the manufacturing industry (Industry 4.0, smart factory, etc.) is weakly coupled with materials science and engineering, a fact most prominent when considering that the share of the materials production cost is about 30-55 %, but the energy cost to produce a component is about 2-8 %. Large companies benefit from the close collaboration of the scientific community and the industry for the development of Integrated Computational Materials Engineering (ICME),…

LAGO

LAGO LESSEN DATA ACCESS AND GOVERNANCE OBSTACLES LAGO will deliver the foundation for a trusted EU FTC Research Data Ecosystem (RDE) to address the so-called “Data Issue” in the FCT research landscape, i.e., the lack of domain-specific data in sufficient quality and quantity to enable appropriate training and testing of the developed methods, platforms and tools. LAGO will be instrumental in identifying common barriers and subsequently providing the structural, governance and technical foundations to foster and innovate data-oriented research collaboration among LEAs, security practitioners, relevant EU agencies, academic and industry researchers, policy makers and regulators. For this purpose,LAGO will develop an evidence-based and validated multi-actor Reference Architecture for the FCT RDE for these actors to deposit, share and co-create data and tools for FCT research purposes based on common rules,…

ENCRYPT

ENCRYPT A scalable and practical privacy-preserving framework The deluge of big data, accompanied by developments in software and hardware technologies leveraging them, has created new opportunities for research and industry. The main challenges, though, faced by researchers and service providers working with personal data, are stemming from the fact that these data need to be processed in a privacy-preserving way, as they contain sensitive information. Although several technologies have been developed to facilitate the processing of data while preserving privacy, they have not made significant inroads into real use cases, due to several reasons. ENCRYPT will develop a scalable, practical, adaptable privacy preserving framework, allowing researchers and developers to process data stored in federated cross-border data spaces in a GDPR compliant way. Within this framework, a recommendation engine for citizens…

RAISE

RAISE Research Analysis Identifier SystEm The EU-funded RAISE project aims to address the challenge of an open, fair and reliable Research Community, where every researcher will be accredited for its work and all research data will be equally accessible for processing without violating data protection regulations. RAISE vision is to provide the infrastructure for a distributed crowdsourced data processing system, moving from open data to open access data for processing. RAISE will produce the mechanism for sending the algorithm to the dataset instead of sending the data to the algorithm. The success of such an application will provide to users a transparent way of processing and sharing data, enabling the research community to publish their outcomes with evidence-based authenticity of the data-analysis performed, ensuring at the same time the accreditation…

CTC

CTC Cut The Cord With the nature of terror incidents undergoing a technology-aided transformation (e.g. use of cryptocurrencies to enhance anonymity), the monitoring and analysis of financial transactions play a pivotal role in the effort to timely prevent actions and funding of global terrorism. Financial crime exploits every aspect of digital transformation and identifies non-traditional products for financing and supporting terrorist organisations, such as social media, cryptocurrencies, and other Financial Technologies. The prevention and disruption of terrorism financing requires international cooperation and advanced investigative techniques based on new technologies. The CTC project (Cut The Cord) aims to enhance the public-private cooperation through the establishment of a wide stakeholder community, with the vision to sustain it beyond the end of the project. Joint training exercises (theoretical and hands-on) will be organised…

STARLIGHT

STARLIGHT STARLIGHT – Sustainable Autonomy and Resilience for LEAs using AI against High priority Threats STARLIGHT aims to empower LEAs with automated, operational, and cyber-resilient investigation, intelligence, surveillance and control capabilities to tackle traditional and emergent criminal activities, terrorism, cybercrime, and cyber-attacks, within and at the borders of the EU. STARLIGHT also aims at contributing to the establishment of a strong EU AI-based security ecosystem, thus enhancing the EU’s strategic autonomy in the field of AI for LEAs. The ecosystem will be built around an AI framework for reliable, accountable, responsible and transparent LEA AI solutions that will enable the involvement and transfer of knowledge between LEAs, Researchers, Industry, SMEs, and Policy makers. Overall, STARLIGHT will ensure that European LEAs lead the way in AI innovation, autonomy and resilience, addressing…

VITALISE

VITALISE VIrtual healTh And weLlbeing Living Lab InftraStructurE The EU-funded VITALISE aims to establish new Living Labs in order to support the research community in the Health and Wellbeing domain. It also invests in learning about methodologies of user engagement and co-creation, such as design thinking, focus groups and ideation. VITALISE will design and develop ICT tools for shared access of similar devices and applications used across Living Labs, as well as for collecting, storing and sharing datasets. It will enhance closer interaction between multidisciplinary researchers among and beyond the consortium partners through the Joint Research Activities, Transnational Physical and Virtual Access. Physical access refers to access in the infrastructure by physical presence (17 Living Lab research infrastructures across Europe) while Virtual refers to remote access using digital tools. VITALISE…

ALAMEDA

ALAMEDA Bridging the Early Diagnosis and Treatment Gab of Brain Diseases via Smart, Connected, Proactive and Evidence-based Technological Interventions The EU-funded ALAMEDA project aims to provide new opportunities for improved personalized healthcare and prevention that have been enabled by the recent advances in the design and development of Innovative health risk prediction and intervention tools. ALAMEDA’s vision is to research and prototype the next generation of personalized AI healthcare support systems for people with brain diseases and disorders, specifically focusing on the needs of patients with Parkinson’s, Multiple Sclerosis and Stroke (PMSS). The project’s innovations will take advantage of new machine learning models, built upon lifestyle retrospective data as well as new streams of patient data that involve the monitoring of everyday activities, such as sleep behaviour and emotional status.…

CALLISTO

CALLISTO Copernicus Artificial Intelligence Services and data fusion with other distributed data sources and processing at the edge to support DIAS and HPC infrastructures Artificial Intelligence (AI) is already part of our lives and is extensively entering the space sector to offer value-added Earth Observation (EO) products and services. CALLISTO project integrates Copernicus data, already indexed in DIAS platforms such as ONDA-DIAS, utilising High Performance Computing infrastructures for enhanced scalability when needed. Complementary distributed data sources involve Galileo positioning data, visual content from UAVs, Web and social media data linking them with open geospatial data, in-situ sensor data. On top of these data sources, AI methods are applied to extract meaningful knowledge such as concepts, changes, activities, events, 3D-models, videos and animations of the user community. AI methods are also…

WQeMS

WQeMS Copernicus Assisted Lake Water Quality Emergency Monitoring Service Monitoring the extent of the effluents in the lake provides a warning about the risk of water contamination and contributes to impact mitigation strategies, both for the drinking water production and the environmental sustainability. WQeMS focuses its activities on the monitoring of lakes with the aim to provide an operational Water Quality Emergency Monitoring Service, which enhances our ability to deliver drinking water in all EU member states. The project exploits Sentinel satellite data for quality monitoring at a finer spatial resolution level, following validated processes with in situ data. WQeMS provides extensive information about water quality by building a multi-temporal and high spatial resolution monitoring framework. The goal is the optimization of the use of resources by gaining access to…

PathoCERT

PathoCERT Pathogen Contamination Emergency Response Technologies Pathogens are a determining factor in emergency response due to their life-threatening nature, both for the public as well as for the safety of first responders. In many cases, pathogen contaminations are difficult to detect, and require specialized technologies, tools and procedures to handle them. Waterborne pathogen contamination events can occur anywhere, and may be caused by various natural events or they can be the result of human activity, either accidental or malicious. During these emergencies, first responders may need to operate within a certain pre-defined incident area, and are likely to be exposed to contaminated water originating from various sources, such as surface water, wastewater or drinking water. This can pose a significant risk of illness, disease or even death, through skin contact,…

EOPEN

EOPEN Open interoperable platform for unified access and analysis of Earth Observation data Earth Observation (EO) data access through the Copernicus data distributor systems has paved the way to monitor changes on Earth, using Sentinel data. One of the main objectives of EOPEN is to fuse Sentinel data with multiple, heterogeneous and big data sources, to improve the monitoring capabilities of the future EO downstream sector. Additionally, the involvement of mature ICT solutions in the Earth Observation sector shall address major challenges in effectively handling and disseminating Copernicus-related information to the wider user community, beyond the EU borders. EOPEN will fuse Copernicus big data content with observations from non-EO data, such as weather, environmental and social media information, aiming at interactive, real-time and user-friendly visualisations and decisions from early warning…

aqua3S

aqua3S Enhancing Standardisation strategies to integrate innovative technologies for Safety and Security in existing water networks Exposure of citizens to potential disasters has led to vulnerable societies that require risk reduction measures. Drinking water is one of the main risk sources when its safety and security are not ensured. aqua3S combines novel technologies in water safety and security, aiming to standardize existing sensor technologies complemented by state-of-the-art detection mechanisms. Hence, it could propose innovative solutions to water facilities and responsible authorities in order to detect and tackle water-related crises in a timely manner. On the one hand, sensor networks are deployed in water supply networks and sources, supported by complex sensors for enhanced detection; on the other hand, sensor measurements are supported by videos from Unmanned Aerial Vehicles (UAVs), satellite…