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It is the objective of the DataSense project to create a computer system that allows acting in the area of the discovery of data considered Sensitive (Sensitive Data Discovery). DataSense has two fundamental objectives that it intends to categorically solve:
• Allow the identification, classification, categorization and relationship of sensitive data present in unstructured information on a large scale in order to allow entities and organizations to obtain an understanding of their sensitive data.
• Allow organizations to respond immediately to the content and network (direct and indirect relationships) of the sensitive data they store and process (eg, right to forget)
In order to respond to the aforementioned objectives, DataSense is based on five concepts essential to overcome the state of the art of application and proposes a hybrid architecture that will take the risk of applying the area of Natural Language Processing and Automatic Learning ( Machine Learning) in the critical area of sensitive data protection. The concepts, described in detail in the following chapter are: Sensitive Data (Personal Data), Natural Language Processing, Humanly readable multi-format unstructured information analysis, Intelligence and training supported in human feedback and Interactive Visualization. These basic concepts of the proposed solution are supported by three layers of Artificial Intelligence: Identification of Entities mentioned, Machine Learning models for resolution of Coreferentiation and Feedback and learning of the models
MASAI Project (Mobility based on Aggregation Services and Application Interconnection) The MASAI project aims to create an interoperable ticketing system across Europe that can be adopted by all Member States, thus facilitating mobility among European citizens. ISCTE collaborates in the development of a multimodal planner and in information security for mobile devices.
The SealTall project aims to develop a system that integrates a set of solutions to monitor and control fishing activities, responding to different needs identified in the monitoring, control and surveillance systems. Additionally, the solution to be developed will address fishing management capabilities. ISCTE-IUL participated in the areas of computer vision, analysis of fishing data (Big Data Analysis) and identification of fishing patterns.
Resulted in the creation of a patent – Method and system of alert, monitoring and identification of activities in vessels – Patent No. 110128 (National Institute of Industrial Property).
In TeamUp5G we believe that motivation from involvement and engagement is key to learning. We want to place creative young researchers in front of the real world, enabling them to work on real-life technical issues, working across multiple European countries and organizations, presenting at workshops in front of industrial users/stakeholders, and becoming involved in standardization activities. We also want to provide them with communications skills, the ability to work in groups and an understanding of integrity and ethics in research. The project focus is ultra-dense small cell systems as an important component in future heterogeneous 5G networks (commercial deployment in 2020) and beyond. TeamUp5G considers aspects such as enhanced multi-antenna techniques, efficient backhaul/fronthaul, massive MIMO, communications in the millimetre-wave bands and visible light communications, as well as spectrum sharing and aggregation to enhance system capacity, decrease delay and energy consumption, and improve overall service quality. The research team of 15 young researches supervised by committed experts from the industry and academia will advance the state of the art with the design of novel physical/link/medium access control algorithms and protocols to enhance capacity and user satisfaction, new dynamic spectrum management, opportunistic optimisation of radio resources and cognitive radio techniques, together with self-organization capabilities, with different levels of collaboration, and techniques and methodologies to save energy. Both mobile broadband and internet of things applications and traffic will be harmonised. The new developed techniques will be analysed by simulation and prototyping and some show-cases (immersive video, drones) will be developed to illustrate the novelty and applicability of our ideas. The consortium will train the young researchers on how to contribute and will actively participate in the activities of standardization bodies.
Despite Portugal’s peaceful environment and generous reception policies, it’s not immune to borderless invisible threat that is violent extremism, radicalization and terrorism. Destructive forces from extremist groups – within our country and abroad – currently poses a threat to the security and social cohesion of the Portuguese society. This proposal aims to prevent and counter extremism and radicalization in PT, by combining communication technology with a more coordinated and knowledge-based prevention effort. Project activities will include:
1. Innovative multi-level communication campaign designed to reach vulnerable individuals at risk of radicalisation and recruitment by extremists, by providing alternative or counter narratives and sharing moderate voices
2. Quantitative and qualitative evaluation of multi-level communication campaign, reach and impact 3. Establishment of a multi-stakeholder network that will offer both strategic advice & skills enhancement of professionals
working in close contact with members of the public
4. Dissemination Action Plan preventing & countering extremism and radicalisation in Portugal, sharing good practices and lessons learned
These activities will result in outputs:
1 x multi-level communication campaign with:
o 3 x Micro-documentary
o 4 x Small awareness films mobile/web
o 3 x Social media Monitoring and Tracking Report
o Social media contents
o Offline activities with Press PR Actions and an Ambassadors Program
o 1 x Web Portal “RESILIENT and UNITED”
1 x Quantitative and qualitative evaluation Report
5 x training sessions for professionals, teachers and volunteers
1 Final publication and Action Plan dissemination compiling best practises and lessons learned
Direct benef: members of PT Islamic community, incl refugees (estim 15.000), 50 prof, 50 teachers, 25 volunteers. Indirect beneficiary’s governmental and non-governmental actors; At EU level, policy-makers, from RAN, CSEP; Other MS and Orgs.