NR has been a significant contributor to statistical and mathematical modelling in the upstream oil and gas industry since the 1980s. We are stil very active in developing new and better methods and we use our expertise in data analysis to optimize oil exploration and development.

We cover a wide range of applications including forecasting, time series analysis, network modelling, optimal delivery, logistics, optimal steering of industry processes, reliability analysis, cost surveys and analysis of very large data sets.

We do research and development of methodologies for analysis of digital remote sensing data from satellites and aircrafts. Application areas include environmental monitoring, climate change monitoring, environmental emergency detection, natural resource mapping and map revision.

The focus is to include as many as possible in the information society. We study barriers and opportunities for different user groups, e.g. people with visual or hearing impairment, and people with cognitive deficits.

Digital technology in society relies on functionality providing security and protection of privacy. At NR we work with advanced technologies for specification, implementation and validation of solutions that ensure both appropriate and reliable security properties.

Smart sensing uses data captured from sensors and other sources to create value in a variety of application areas. We work with understanding user behaviour and applications in health care and welfare, intelligent transport systems, electrical grids, and smart cities.

We have extensive knowledge in the fields of image analysis and machine learning. Object extraction, characterization and recognition from images are central for many of these applications. Another central theme is the analysis of sequences of data, including motion detection and characterization.

This center for research-based-innovation is funded by the Research Council of Norway. Big Insight produces innovative solutions for key challenges facing our consortium of private, public and research partners, by developing original statistical and machine learning methodologies.