GSS EU Science Funding Gateway

Proposals should also demonstrate the following:

• Deliver a breakthrough in terms of accuracy and realism
• Optimally fuse observations and models
• Integrate downstream sectors at the source of data production (adjacent science sectors)
• Include a rigorous handling of quality and confidence of information
• Develop capabilities of the new digital continuum enabling research communities to continuously learn and update themselves from data and information originating from different sources

With the advent of big data analytics and supercomputing, AI methods have the potential to allow exploiting the full potential of simulations and observations at significantly enhanced scales and to substantially increase the value, which can be extracted from investments into digital infrastructures and hardware. Achieving this will require a co-design approach with user communities. Target should be the development of more integrated systems and a consistent set of standard methods and protocols in the areas of (a) model and data fusion for optimal synergy between observations and models, including provisions to include information from the entire digital continuum-from smart sensors, IoT, big data to citizen science type of information, high-performance computing; and (b) visualisation and artificial intelligence based knowledge generation from spatio-temporal information.