The S-5P, S-4 and S-5 instruments aboard the Copernicus atmospheric Sentinel missions can be exploited to monitor the profile of ozone concentration in the Earth’s atmosphere with unprecedented accuracy and timeliness. As the most important radiatively active gas in the stratosphere and short-lived climate forcer, oxidizing agent and pollutant in the troposphere, ozone shall be vertically retrieved from the surface to the mesosphere. This cannot be done by a single instrument due to the limited capability of remote sounding in an assigned spectral region and observation geometry. It can be achieved by merging information of multiple measurements of the same target. The AURORA project demonstrates that the synergistic use of geostationary (GEO) and low Earth orbit (LEO) satellite sensor data in different frequency ranges is a viable strategy for full, vertical ozone profiling. A novel approach, based on the assimilation of GEO and LEO fused products by application of an innovative algorithm to S-4 and S-5 synthetic data, is adopted to assess quality of the unique ozone vertical profile obtained in a context simulating the operational environment. The vertical ozone distributions are then used to calculate tropospheric columns and UV surface radiation, thus focusing on lower atmosphere layers. A technological infrastructure, exploiting virtual machines and cloud data sharing, is created to implement the data processing chain, including a geo-database and web-services for data access. The infrastructure represents a best practice that plays a key role in ensuring wider use of Copernicus Sentinel data for academia and industry. It is the basis for a market analysis of pre-market applications and uptake in commercial communities. Strategic dissemination and exploitation is targeted at both European (academia, CAMS, GEOSS, thanks to existing, strategic contacts) and international level (TEMPO and GEMS, in USA and ASIA, who investigate synergy and data exchange).

Complementing the ACI/IATA efforts, FLYSEC project aims to develop and demonstrate an innovative integrated and end-to-end airport security process for passengers, enabling a guided and streamlined procedure from the landside to airside and into the boarding gates, and offering for the first time an operationally validated innovative concept for end-to-end aviation security. On the technical side, FLYSEC achieves its ambitious goals by integrating new technologies on video surveillance, intelligent remote image processing and biometrics combined with big data analysis, open-source intelligence and crowdsourcing. Repurposing existing technologies is also in the FLYSEC objectives, such as mobile application technologies for improved passenger experience and positive boarding applications (i.e. services to facilitate boarding and landside/airside wayfinding) as well as RFID for carry-on luggage tracking and quick unattended luggage handling. Besides more efficient background checks and passenger profiling, FLYSEC aims to implement a seamless risk-based security process within FLYSEC combining the aforementioned technologies with behavioural analysis and innovative cognitive algorithms. A key aspect in the design of FLYSEC risk-based security is applying ethical-by-design patterns, maximizing the efficiency of security controls through passenger differentiation ranging from “unknown” to “trusted”, while remaining ethical and fair in the process. Policy, regulatory and standardisation aspects will also be examined in the context of FLYSEC innovative security concept.

According to current discussion within the community of stakeholders, there is in the Geographic Information (GI) sector a gap between the knowledge currently being offered by the European universities and the knowledge and skills requested by the enterprises and public authorities. This is partly due to a fast technological development but also due to societal changes, for instance the EU INSPIRE directive and the e-government action plans within the member states.giCASES, as a Knowledge Alliance project, aimed to enable and strengthen innovation in GI education and industry and to facilitate the collaborative creation, management and sharing of knowledge.These objectives have been addressed by developing new methods for co-creation of knowledge, where industrial partners and universities jointly developed new case-based learning materials by facilitating the exchange flow and co-creation of this knowledge. The project specifically addressed the Geographic Information (GI) sector.The giCASES method for co-creation of knowledge consists of process patterns, supplementary material and a collaboration platform. A process pattern is here a general description of a business process, which may be slightly modified in a particular case in order to suit the specific conditions better. All case studies are different from each other, but the processes they use to co-create knowledge have many characteristics in common which are captured in giCASES by the concept of business process patterns.giCASES considered the following paradigms:• co-creation of knowledge: the process through which two or more organizations and/or actors interact with each other in a collaborative fashion to generate learning content. • case studies: consisting of a real-world problem, which tackle specific topics and issues and has well-defined scopes, learning outcomes, results, actors and corresponding roles, and is addressed in a learning environment. • case-based (collaborative) learning: the educational approach adopted within the giCASES project, where knowledge is cooperatively produced by all the actors involved in the specific case studies planned. • (case-based) learning/training material: the whole of materials produced and/or used to co-create knowledge. • (case-based) learning/training tools: the solutions and technical tools adopted to store, visualize, reproduce, present or aid the development and exchange of learning/training material as well as the results of the learning process.The specific objectives of the giCASES project have been to improve the quality and relevance of GI courses provided by the University members of the consortium, to facilitate the growth of new knowledge-sharing processes and tools between enterprises and universities.In the approach taken in this project, enterprises and academia collaborated both when creating learning material based on real cases and during the courses. Collaborative web-tools have been identified to support the collaboration and co-creation of knowledge among different stakeholder groups. The new learning material and collaborative teaching have been tested in university settings. The project outcomes are provided under open licenses. In order to optimize the spread and usage of the project results, dissemination actions have been specifically addressed to external universities adhering to the open learning paradigm and companies that want to have a close connection to academia. In addition, the project results can also improve the knowledge management within the participating organisations. Questions related to processes for creation of knowledge and knowledge repositories have been placed at a strategic level, also within the enterprise, including Public Authorities with the possibility to enlarge their vision and perspective in the Academic context and in the European level.