Technology and industry
At NR, we develop and apply methods in statistical modelling, machine learning and language technology to address practical challenges in industry and the public sector.
Our methods support decision-making in areas such as forecasting, logistics, network modelling, process optimisation, reliability analysis, cost studies and large-scale data processing.
We work across a range of sectors, including transport, services and public administration. Although the applications differ, our methodological approach is consistent: data-driven, robust and tailored to the problem at hand.
In addition to solving applied problems, we contribute to the development of general methods through long-term research funded by basic grants and collaborative research centres.
Selected research topics
We use anomaly detection to identify unexpected events in data.
Automated image analysis improves infrastructure inspection and safety.
We study how AI makes decisions – and how to make them understandable.
