Digitalization opens many doors to new knowledge and gives us new ways to understand and work with both old and new problems. Success requires collaboration across various disciplines which ensure the whole value chain of data flow, from collection and quality control to how to reap the benefits of the data and how to interact with them. Below follows a brief overview over important themes for our research group.
Data Processing
Effective data processing is particularly important when the resources are limited. An example of such a problem is for example surveys done in harsh environments with limited access to processing and network capacity. Good quality data processing is also the corner stone for further analysis with for example machine learning. Insight starts with good data.
Visualization
Visualization of data influences what data gathers our attention and what decisions we make. Effective visualization can make difficult problems manageable, nudge us in the right direction and make our everyday life easier. Visualization is therefore an important part of digitalization processes. For projects where one analyzes different datasets across competence fields, we have developed an advanced visualization software named Enlighten which facilitates the work. Below you may see a video from the project EPOS-N, European Plate Observation System – Norway, which shows the software in action.