Earth, Ocean, and Space Science

This area aims to support researchers and stakeholders in the EOSS field in achieving evidence-driven science by providing systematic and collaborative methods, assisted by data science tools, to address relevant societal challenges such as climate change or the sustainable management of the environment and its resources. Semantic interoperability, IoT, real-time data stream processing, simulation, big data analysis, immersive realistic visualization, Human AI and Digital Twins are a few examples of trends and challenges this innovation area encompasses, which align with research challenges such as computing systems to empower human capabilities, methods, and tools to boost the quality of future software systems, and performance, interoperability, and dependability of critical information systems. This area also aims to explore technology and know-how transfer in the context of research projects through consultancy projects, specifications, and software prototypes, resulting in the licensing of inventions and software copyright registrations aligned with the industry's needs. These goals are in line with INESC TEC's strategy for the ocean.