Sikrere veier, rasovervåkning, miljøgevinster, bedre helsetjenester. Eksperter på Big Data ser en rekke nye muligheter innen avansert bildeanalyse og gjenkjenningsteknologi.
Uni Research Computing carries out research and development in Big Data analysis, environmental flow modelling, evolutionary ecology and language processing. It focuses on the development of methods, software and IT-infrastructure and their application to real-world problems.
The department collaborates with partners from academia and the public and private sectors. It receives funding from national and international research councils, from Norwegian government departments and industry.
Big Data Analysis
Uni Research Computing has a strategic focus on Big Data Analysis and its application in the sciences. It is the host of the Center for Big Data Analysis, concerned with the development of data models, analysis methods and software. It operates a state-of-the-art Hadoop-based big data engine.
Environmental Flow Modelling
The department is engaged in simulation, analysis and evaluation of a wide range of fluid flows, with an emphasis on the atmosphere and ocean at local scales. Applications include dispersive transports, fluid-structure interactions associated with human activities, offshore renewables, weather prediction, CO2 storage and aquaculture.
Uni Research Computing focuses on the evolution of mating systems in birds as well as evolutionary ecology applied to marine systems, particularly understanding evolutionary and plastic responses to contemporary drivers such as fishing and climate change.
Research and development activities encompass natural language processing, text mining and corpus linguistics. A major focus is on extracting information from large archives of news and social media, e.g. to support social science and humanities research.