Digitization Digital technologies make it possible to conduct research in completely new ways. We further develop and adapt innovative technologies and tools to collect detailed observations of the marine environment, analyze large amounts of satellite data, develop digital twins, and improve models. Our data products are managed, visualized, and conveyed through effective solutions based on established standards. Observation systems in the oceanWith modern technologies for measurements and communication in the sea, we can collect extensive data to understand processes and changes over time. By using new and innovative sensors, communication, and storage solutions, we are building, through international cooperation, future observation systems for the Arctic and other ocean areas. Use of satellite dataEuropean and other countries' satellites today cover most of the globe and provide access to large amounts of data. Such data can be used to extract detailed information, for monitoring the environment and possible dangerous situations. However, this requires access to advanced and scalable tools, for fast processing and analysis. Artificial intelligenceComputers can be programmed to analyze and recognize patterns in large amounts of data. This is called machine learning, an important field within artificial intelligence. In research, this is used, among other things, for the analysis of large amounts of data and for the forecasting of changes in the environment or climate. Through the use of artificial intelligence, we can prepare far better forecasts than before, and present good and secure analysis and decision-making bases. Management of research dataDigitization is central to the efficient handling of data that is collected or generated by modeling tools, and to the dissemination of research and development results to both the public and private sectors. Data assimilationData assimilation are methods that combine measurements of the climate and environment, such as temperature and wind, with models. Through this process, more accurate descriptions of a current state are produced, which in turn will form the basis for more secure forecasts. Visualisation of research dataResearch data can be difficult to understand because it is complex, and often contains special types of measurements and technical terms intended for experts. It is therefore important to convey these in a way that is adapted to different recipient groups. Digital twinsVirtual representations of reality are very useful in a number of different fields. Computer programs can monitor and simulate how the state of the ocean changes over time, by combining observations from various instruments, with analysis and modelling tools. In this way, the way wind, waves, and current affect windmills, platforms, or other structures in the ocean can be simulated.