Logica was a multinational IT and management consultancy company headquartered in Reading, United Kingdom and a wholly owned subsidiary of CGI Group.Formerly listed on the London Stock Exchange and a constituent of the FTSE 250 Index, Logica was acquired by the Canada-based CGI Group in August 2012 for £1.7 billion in cash.It had offices in London and a number of major cities across England, Wales and Scotland, as well as in other countries around the world. Wikipedia.
Agency: European Commission | Branch: H2020 | Program: IA | Phase: REFLECTIVE-6-2015 | Award Amount: 3.85M | Year: 2016
The popularisation of digitisation techniques has boosted the generation of digital cultural heritage assets in recent years. However, such techniques should not be regarded as an end in and of themselves, but as a means for enabling European citizens to engage with cultural heritage more closely and in different ways. ARCHES aims to create more inclusive cultural environments particularly for those with differences and difficulties associated with perception, memory, cognition and communication. It will achieve this through in-depth research analysis and the development of innovative applications, functionalities and experiences based on the reuse and redevelopment of the aforementioned digital resources. Our participatory research methodology situates real user needs at the heart of an iterative design and implementation process, through their active involvement in 3 pilot exercises. This will also facilitate the validation of potential solutions in scenarios at 6 museums, as well as engagement with broader audiences (e.g. children, the elderly, and other potentially marginalised groups) and extension to other sectors, mainly education and tourism. The online accessible software platform, applications for handheld devices and multisensory activities will form the basis of a technical approach that will exploit state of the art technologies e.g. augmented reality, avatars, relief printers and models, context-sensitive tactile audio guides, metadata and advanced image processing techniques to underpin the generation of a dynamic ecosystem. In this framework, museums will play an important role by adapting content and reinterpreting cultural heritage in manners most suitable for target groups. Our interdisciplinary consortium involving academia, SMEs, research centres and museums will focus on ensuring widespread communication and exploitation, stimulating cross-border collaboration to address a challenge common across Europe.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: PHC-25-2015 | Award Amount: 4.88M | Year: 2016
ProACT targets Europes 50 million multimorbid patients to proactively self-manage and offset the EUs annual 700billion cost of chronic disease management. ProACT aims at providing and evaluating an open application programming interface to integrate a variety of new and existing technologies to advance home based integrated care (IC). Cloud based data analytics will determine correlations between technology use and the influence of support actors to impact on the health and quality of life of patients. Research will examine 4 models of care/support, central to implementing effective, continued and coordinated patient-centric care/self-management. Development of a novel data aggregation and cloud platform system will enable data analysis for improvement of IC, effective measurement of results and comparison of efficiency and costs, so that the relationship between patients and their personalized care network is optimized. Proof of concept trials (120 patients in total, with associated care/support actors) will be carried out within Health Services (Ireland and Belgium) with associated living lab facilities to ensure patient co-design technology approaches. Clinical status information, therapies and activity tools will be deployed for the conditions of: chronic heart failure (CHF), diabetes and chronic obstructive pulmonary disease (COPD). Tools to support mild cognitive impairment and detect early onset dementia are included. Commercial potential will be validated during the project supported by a European feasibility study to assess the cultural and political determinants for adoption and scalability of the ecosystem. ProACT engages a multidisciplinary EU consortium of 3 public and 9 private organizations (including 2 of the worlds leading ICT companies, the largest home care provider and 2 EU service provider and technology networks) to develop and validate the ecosystem. Individually partners could develop the components. Together we can develop the system.
Agency: European Commission | Branch: FP7 | Program: CP-FP | Phase: SEC-2013.2.1-2;SEC-2013.4.1-2 | Award Amount: 4.72M | Year: 2014
FORTRESS will identify and understand cascading effects by using evidence-based information from a range of previous crisis situations, as well as an in-depth analysis of systems and their mutual interconnectivity and (inter-)dependency. FORTRESS will seek to intervene in current crisis response practices by bridging the gap between the over-reliance on unstructured information collection on one side and a lack of attention to structural, communication and management elements of cross-border and cascading crisis situations on the other. It will use state of the art information collection and modelling tools to assist stakeholders in evaluating what information is significant, relevant and of greater priority so that they can adjust their actions accordingly. It will do so by using evidence-based information from historical crisis case studies (WPs 2 and 3), as well as comprehensive analysis of the different relationships between systems (WP 4), and systems and sensitivity information from current crisis management contexts and practices in four system simulations (WP 5). This will enable FORTRESS to build a collaborative and accesible, modelling platform for cascading and cross-border effects in a range of crisis situations (WP 6). This will feed into the development of the FORTRESS Incident Evolution Tool (FIET) in WP7; a user-friendly tool with cross-border capabilities that can be used in a cascading crisis. FIET can be used as a foresight tool to assist decision-makers in understanding the potential effects of their decisions in training environments. FIET is also a decision support tool that is user-friendly enough to be employed during a crisis to assist real-time decision making. FIET will be subject to rigorous testing in the field to evaluate its effectiveness, and the project will ensure its user-friendliness by undertaking extensive training with decision-makers to optimise the look and feel of the system (WP 8).
Agency: European Commission | Branch: H2020 | Program: CSA | Phase: DRS-06-2015 | Award Amount: 1.96M | Year: 2016
Standardisation is a powerful tool to achieve better interoperability. However, it needs to overcome a lack of interest and modest participation from stakeholders. Also, promising research results are not always used as the basis for new standards. The overall goal of ResiStand is to find new ways to improve the crisis management and disaster resilience capabilities of the European Union and individual Member States through standardisation. ResiStand contributes to an improved disaster resilience by identifying and analysing the drivers, constraints and expectations of three main stakeholder communities: Standardisation Organisations, End-Users and Suppliers, consisting of researchers, industry and SMEs. Based on this information, gaps in standardisation are identified and a prioritised roadmap for new initiatives will be created. The roadmap will be complemented by a critical evaluation of standards as a tool to improve disaster resilience. ResiStand aims at implementing a pre-standardisation process that supports the development of standards. The feasibility of the process will be tested by developing a new work item. The aim is that stakeholders will continuously utilize this ResiStand Process in the future, and that the project delivers a better understanding of the potential of standards for contributing to an improved disaster resilience. ResiStand will support the management of increasing threats to society such as armed conflicts, terrorism, pandemics and natural disasters, which have increasingly cross-border, even global consequences due to the on-going globalisation. Protection of citizens through anticipation, preparedness, response and adaptation to crisis situations i.e. maintaining disaster resilience will be more efficient. Collaboration between national, European and international stakeholders will be improved by unified processes and management systems as well as by technical, procedural, operational and semantic interoperability.
Agency: European Commission | Branch: H2020 | Program: IA | Phase: FCT-04-2015 | Award Amount: 3.80M | Year: 2016
The Internet has become a key piece of any business activity. Criminal activity is not an exception. Some crimes previous to the Internet, such as thefts and scams, have found in the Internet the perfect tool for developing their activities. The Internet allows criminals hiding their real identity and the possibility to purchase specific tools for stealing sensitive data with a very low investment. The overall objective of RAMSES is to design and develop a holistic, intelligent, scalable and modular platform for Law Enforcement Agencies (LEAs) to facilitate digital Forensic Investigations. The system will extract, analyse, link and interpret information extracted from Internet related with financially-motivated malware. Customers, developers and malware victims will be included in order to obtain a better understanding of how and where malware is spread and to get to the source of the threat. To achieve these ambitious objectives, this project will rely on disruptive Big Data technologies to firstly extract and storage, and secondly look for patterns of fraudulent behaviour in enormous amounts of unstructured and structured data. We will focus on 2 case studies: ransomware and banking Trojans. In order to this, RAMSES brings together the latest technologies to develop an intelligent software platform, combining scraping of public and deep web, detecting manipulation and steganalysis for images and videos, tracking malware payments, extraction and analysis of malware samples and Big Data analysis and visualizations tools. Validation pilots will take place in three different EU countries (Portugal, Belgium and Spain) being the first a mono-LEA pilot in each site and the second a collaborative investigation pilot between several LEAs. Commercial potential will be validated during the project supported by a feasibility study to assess determinants for the adoption of the platform and appropriate business models.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-16-2015 | Award Amount: 3.16M | Year: 2015
PROTEUS mission is to investigate and develop ready-to-use scalable online machine learning algorithms and interactive visualization techniques for real-time predictive analytics to deal with extremely large data sets and data streams. The developed algorithms and techniques will form a library to be integrated into an enhanced version of Apache Flink, the EU Big Data platform. PROTEUS will contribute to the EU Big Data area by addressing fundamental challenges related to the scalability and responsiveness of analytics capabilities. The requirements are defined by a steelmaking industrial use case. The techniques developed in PROTEUS are however, general, flexible and portable to all data stream-based domains. In particular, the project will go beyond the current state-of-art technology by making the following specific original contributions: i) Real-time scalable machine learning for massive, high-velocity and complex data streams analytics; ii) Real-time hybrid computation, batch data and data streams; iii) Real-time interactive visual analytics for Big Data; iv) Enhancement of Apache Flink, the EU Big Data platform; and v) Real-world industrial validation of the technology developed The PROTEUS impact is manifold: i) strategic, by reducing the gap and dependency from the US technology, empowering the EU Big Data industry through the enrichment of the EU platform Apache Flink; ii) economic, by fostering the development of new skills and new job positions and opportunities towards economic growth; iii) industrial, by considering real-world requirements from industry and by validating the outcome on an operational setting, and iv) scientific, by developing original hybrid and streaming analytic architectures that enable scalable online machine learning strategies and advanced interactive visualisation techniques that are applicable for general data streams in other domains.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: FCT-14-2014 | Award Amount: 4.54M | Year: 2015
The Unity vision is to strengthen the connection between the police and the diverse communities they serve to maximise the safety and security of all citizens. The end-user focus of Unity shall identify best practices in Community Policing (CP) through primary and secondary research to enhance cooperation between Law Enforcement Agencies (LEAs) and citizens through the development and live pilot demonstrations of technological tools in six EU member states that facilitate, strengthen and accelerate community and LEAs communications. These tools shall be amplified and supported by the design and delivery of CP training and awareness raising activities to LEAs, citizens and community partners, including online virtual communities. Unity will provide LEAs with a new CP model and shared framework of governance and enabling tools and technology to support closer cooperation for greater, more effective and efficient and more inclusive CP. The citizen-centred approach of Unity support the combined protection, safety, security and well-being of communities, but it will also support a more collective, shared ownership of large scale, collective risk. Coordinated by pioneers and practitioners in CP, Unity seeks new ways of working in which the police will serve as a catalyst for change within communities, helping the latter to become an integral part of the solution, and thereby sharing the ownership and delivery of a sustainable CP model which simultaneously embraces the benefits of technology while meeting diverse community needs. This new and sustainable citizen-centred CP model will have community trust and confidence at its heart, with the ability for two-way flows of information and communication to allow for greater understanding of the problems and issues faced by communities. By working with citizens and community stakeholders to arrive at a full understanding of their concerns, targeted interventions and solutions can be agreed to keep local communities safe
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: COMPET-05-2015 | Award Amount: 2.18M | Year: 2016
Understanding the Physics of Inflation is one of the key questions in present-day fundamental cosmology. For this purpose, the study of the polarization of the Cosmic Microwave Background (CMB) anisotropies provide a unique probe to the early Universe. However, it is well-known that foreground signals, and in particular emission from our Galaxy, will be the major limiting factor of the possible constraints on the existence of B-modes. This proposal will make use of ESAs PLANCK satellite mission (30-857 GHz), in combination with the ground-based observations provided by the QUIJOTE experiment (10-20 GHz) and other ancillary radio maps, to address the still open problem of the detailed physical modelling of the radio foregrounds in polarization. This project will provide: a) state-of-the-art legacy maps of the synchrotron and the anomalous microwave emission (AME) in the Northern sky; b) a detailed characterization of the synchrotron spectral index, and the implications for cosmic-rays electron physics; c) a model of the large-scale properties of the Galactic magnetic field; d) a detailed characterization of the AME, including its contribution in polarization; and e) the best complete and statistically significant multi-frequency catalogue (from 10 to 217 GHz) of radio sources in both temperature and polarization. The combination of PLANCK and QUIJOTE will provide reference data products which will be an asset for other sub-orbital experiments, as well as in the preparation of future space missions. Finally, we will also provide specific software tools for a more efficient exploitation of our data products, with functionalities far beyond of the existing ones. These tools will not only allow an advanced visualization, but also they will allow the possibility of carrying out specific predictions/simulations for the design of future B-mode experiments, which we expect it will be widely used by the Cosmology and Astrophysics community.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: BES-10-2015 | Award Amount: 4.00M | Year: 2016
The enduring humanitarian crisis in the Middle East, the unrelenting high levels of violence in Afghanistan and new outbursts of violence in South-Sudan have made 2014 another record-breaking year for acts of violence against humanitarian aid workers. In 2000 41 significant attacks on aid workers were recorded across the globe. By 2014, that number had risen to 190. In this 15-year period, over 3,000 aid workers have been killed, injured or kidnapped. Despite the increasing availability of tracking and monitoring technologies, the number of humanitarian workers that fall victim to attacks continues to rise. Clearly, a novel and innovative approach to tracking and decision-making is needed. Information systems for fleet management, GPS for navigation and location or RFID tags for inventory management are just a few of the technologies that have changed the humanitarian operations. Until now, however, there is no integrated decision support system that provides real-time analyses from the data streams that are generated by these technologies. This lack of integrated real-time information prevents an understanding of potentially threatening situations, increases response times and creates insecure communications, all leading to inadequate protection and hampered efficiency and effectiveness. The aim of better protection and more efficient and effective operations can only be achieved by devel-oping technologies along with the policies for their use. GPS, for example, notwithstanding its capability to provide live tracking of vehicles for recovery, cannot prevent an ambush or kidnapping. Technologies therefore need to go hand in hand with procedures and policies in order to provide useful early warnings to decision-makers on the ground as well as decision support for scheduling, navigation, risk management and coordination. Policies, in other words, provide for the essential guidance on how to use the technologies in the field. This project will develop human-centred technologies that take into ac-count actual real-world practices of humanitarian aid workers, and provide policies for better protection and a more effective and efficient response. Based on principles of Privacy by Design, this project will build the iTRACK system, an integrated intelli-gent real-time tracking and threat identification system to improve protection of responders and assets, and provide information management and logistics services such as real-time information updates and analyses as well as navigation, routing and scheduling. iTRACK will achieve this through an interdiscipli-nary, socio-technical approach, which will draw on the latest advances in sensor development, GIS, secu-rity & privacy, artificial intelligence, information management, risk analysis, and humanitarian logistics.
Agency: European Commission | Branch: FP7 | Program: CP-FP | Phase: SEC-2013.7.2-1 | Award Amount: 1.94M | Year: 2014
The increase in urban population lead to an increase in crime. This is aggravated by illegal immigration, criminal striping, degradation of zones. The increase of criminal activity is manifested in an increased frequency of small crimes like graffiti, theft, robbery, destruction of rubbish bins. This has had a big impact for local governments, citizens and businesses. Local government agencies are trying to solve these problems. As was shown in New York, a reduction in petty crimes increases the sense of public order which produces further reduction in crime in general. These organizations often treat the problem with classical solutions such as increase in police resources, reintegration of offenders, rehabilitation of degraded areas and modern solutions such as urban video surveillance. However, these new technologies are often underused and inadequate. The SmartPrevent project aims to enhance detection and prevention of crimes in local urban areas by exploiting the full potential of video-surveillance systems. We will develop and provide four important benefits: i) Systematic characterization of usual petty crimes in an area under automatic surveillance; ii) automatic detection of the most usual and frequent criminal activities; iii) a set of automated tools capable of alerting the appropriate responders; and iv) early prevention of crimes by prediction and early detection of crimes. Rather than providing new methodologies or tools, SmartPrevent will focus on: a) improving already-existing methodologies by means of a set of guidelines for the use of video-surveillance systems; and b) providing a set of tools capable to improve of the existing crime detection systems. Our solution will be validated by deploying a realistic prototype scenario, which will actively involve the detection and prevention for crimes in an urban areas and management of these detections by final users.