The LT2016 Researchers’ Night projects for 2016 and 2017 will take place in major Lithuanian cities, i.e. Vilnius, Kaunas, Klaipeda, Siauliai and Moletai, as well as in rural areas. The project aims to enhance public recognition of researchers and their work through bringing scientists and public closer to one another and thus increasing an understanding of the impact of researchers' work on citizen's daily life as well as encouraging young people to choose careers in science and research. Both events will offer a broad range of varied activities addressing all categories of the public at large, regardless of age and scientific background, i.e. notably: Meetings and activities together with researchers; Lectures, discussions; Visits to open laboratories; Real life observations and experiments; European corners; Various contests, games, exhibitions, movie and online broadcast watching. All the activities planned will actively involve researchers and will offer a balanced combination of "serious" activities and funny ones to be attractive for the general public. Activities will be hosted in labs, lecture halls, meeting places, cafes, while in the rural areas they will take place in schools or public spaces. Some activities conducted in the main sites will be broadcasted online. Common concept for the Night in 2016 and 2017 will be Learning about Technology Futures. Therefore activities of Researchers’ Night projects in 2016 will be organised with focus on Virtual Reality thus building foundations for the Night in 2017 which will focus of "science futurity" or Futures of technologies. Both events will be finalised with the grand event unifying different fields - music, science and cinema. We expect at least 500.000 people made aware of the Researchers' Night and its objectives through the awareness campaign and 11.500 direct attendees to the various events planned in 2016 as well as in 2017.

Current evidence suggests that the global fight against corruption faces serious challenges: policy decisions are not well informed, the corruption landscape is complex and enormous, while measuring corruption is so far mostly based on subjective approaches, and there is lack of appropriate technological tools to support anti-corruption. To address these challenges, FALCON is designed and dedicated to support the composition, update and management of comprehensive corruption intelligence pictures, within domains and jurisdictions of interest. This will be accomplished following a multi-actor, evidence-based, data-driven approach, building upon existing assets and prior work of consortium partners. FALCON will, first, develop and validate objective and actionable indicators (individual and composite) of corruption that can be used to inform policy decisions. Second, it will design, implement and integrate powerful data analytics tools, data pipelines and applications that support the management of the entire lifecycle of corruption intelligence pictures. This will enable comprehensive corruption risk assessment, informed policy making, and improved anticorruption law enforcement. FALCON will be piloted in four corruption domains – corruption schemes at border crossings, sanction circumvention by kleptocrats/oligarchs, public procurement fraud, conflicts of interest of politically exposed persons (PEPs) – involving law enforcement experts (police authorities and border guards) from six (6) European countries and other key actors (i.e., GovTech providers, academia, financial intermediaries, policy makers, NGOs, and civil society). FALCON’s implementation will be incremental and iterative, forming synergies between SSH and technological expertise, and will adhere to the principles of Trustworthy AI and responsible research and innovation. Lastly, FALCON has defined specific key exploitable results and performance indicators for measuring its progress and success.

The D4FLY project will augment the current caThe D4FLY project will augment the current capabilities and capacities of border authorities in countering emerging threats in document and identity verification (e.g., forged documents, impostor fraud, morphed faces) at manual and highly automated border control points and in the issuance process of genuine documents. The confluence of D4FLY set of tools and systems will improve the quality of verification and reduce major time sinks in the processes thus enabling real on-the-move border crossing experience for travelers. Novel sensor hardware based on advanced lightfield cameras and novel algorithms developed in the project will enhance verification accuracy and robustness via the combined usage of 2D+thermal face, 3D face, iris and somatotype biometrics. Analytical means to identify known criminals based on somatotype and 3D face data generated from mugshots and observation data will be developed. Various operational needs of end-users with different threat landscapes constitute the backbone of D4FLY development efforts. D4FLY will create a resilient document verification system that can verify a multitude of physical and electronic security features (e.g. Kinegrams®, MLIs, CLIs), detect complex forms of electronic fraud and advanced morphing, and identify fraud in breeder documents. The potential benefit of blockchain technology in identity verification will also be investigated. The D4FLY solution will consist of a border control kiosk geared with enhanced enrolment, verification and detection capabilities; smartphones applications for improved performance and verification capabilities; and a non-stop on-the-move system for biometric verification. The innovation will be validated against European societal values, fundamental rights, privacy, data protection and applicable legislation. Four different border control points and one document fraud expertise center will form the project’s testing and demonstration ground.

Maritime Domain Awareness is the combination of activities, events and threats in the maritime environment that could have impact on marine activities and EU territory. During the past decades, advances in Information and Communication Technologies have provided better means to monitor and analyse vessel activity. Today private and public source of data such the Automatic Identification System or space related data can be combined with Vessel Traffic Services, Vessel Traffic Management Systems and Vessel Traffic Monitoring & Information Systems data enabling the development of value added information resulted by the combination of such data. European waters are navigated daily by some 12,000 vessels, which share their positions to avoid collisions, generating a huge number of positional messages every month. It is important that this overabundance of information will not overwhelm the marine operator in charge for decision-making. The challenge is twofold: on one side encourage the exchange of heterogeneous data among administration valorising the CISE network currently in place, on the other exploit at the best these datasets by means of automated processing in a way to minimise false alert that might results by an incorrect processing or interpretation of the results. PROMENADE will improve solutions for the vessel tracking, behaviour analysis and automatic anomaly detection by means of the application Artificial Intelligence (AI) and Big Data (BD) technologies, and to promote collaborative exchange of information between maritime surveillance authorities, shortening the time to market and assuring the compliance with legal and ethical regulations. An open, service-based toolkit implementing “state of art” AI / BD techniques also benefiting of HPC (High Performance Computing) platform is the core activity of the project. The project’s developments will be demonstrated and evaluated in 3 operational scenarios and 1 simulated defined by Border Guards Authorities.