Projects

Showing 11 - 20 results of 30

Predicting novel materials with specific desirable properties is a major aim of ab initio computational materials science (aiCMS) and an urgent requirement of basic and applied materials science, engineering and industry. Such materials can have immense impact on the environment and on society, e.g. on energy, transport, IT, medical-device sectors and much more. Currently,...

The mesopelagic layer of the oceans, also known as the Twilight Zone, extends between ~200 and 1000 m depth and is one of the vastest contiguous ecosystems on Earth. It plays a pivotal role in global biogeochemical cycles and climate, and hosts a massive biomass of zooplankton and small fish. However, scientific understanding and predictive capacity of biogeochemical...

The impact of digital technologies on industrial processes is widely discussed and often assumed as a "done deal". However, the industrial environment tends to move at its own pace, and the adoption of new digital technologies can represent a massive challenge in contexts dominated by electromechanics components.

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AQ-WATCH will develop a supply chain leading to the generation of seven downstream products and services that are innovative for improving air quality forecasts and attribution. These prototypes will be based on existing space and in situ observations of air quality and tailored to the identified needs of international users. The project will allow for the first time small...

The Copernicus Climate Change Service (C3S) has a critical role to ensure that the service meets the needs of a range of users for high-quality data and information on near- to medium- to long-term climate change. The ITT that this proposal addresses asks for recommendations on robust definition and adoption of methods for post-processing of forecast data and case studies to...

The pressure on urban areas is accelerating and the need to provide citizens with quality services in what concernssecurity, emergency, operational management and planning led to municipality decision to invest in the Lisboa Smart Management Platform (LSMP). It is paramount to be able to build the analytical capabilities on top of it and address some of the most...

The IOTWINS project will deliver large-scale industrial test-beds that leverage and combine data related to  manufacturing and facility management optimization domains that come from diverse sources, such as data APIs, historical data, embedded sensors, and Open Data sources.The goal is to build a reference architecture for the development and deployment of distributed...

The IOTWINS project will deliver large-scale industrial test-beds leveraging and combining data related to the manufacturing and facility management optimization domains, coming from diverse sources, such as data APIs, historical data, embedded sensors, and Open Data sources. The goal is to build a reference architecture for the development and deployment of distributed and...

We propose to create the EUropean-CANadian Cancer network (EUCANCan), a federated infrastructure whose mission is to enable Personalized Medicine in Oncology by promoting the generation and sharing of harmonized genomic and phenotypic data. EUCANCan builds on work performed by members of the consortium and related projects to align and interconnect existing European and...

Big data is nowadays being integrated in systems requiring to process a vast amount of information from (geographically) distributed data sources, while fulfilling the non-functional properties (real-time, energy-efficiency, communication quality andsecurity) inherited from the domain in which analytics are applied. Examples include smart cities or smart manufacturingdomains....

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