Research groups

AreaS is a transdisciplinary research group for Area Studies. It was established in June 2016 and is a part of the Department of Languages, Literature and Culture at Østfold University College (HiØ), Norway.

AreaS is open for colleagues from other departements and faculties at the college, as well as from other institutions. The focus of the group is the analysis of physical and abstract areas. “Physical areas” refer to continental, subcontinental, national or subnational dimensions. “Abstract areas” refer to political, cultural, economic, historical or linguistic constructions that in one way or another have been or are tied to and integrated within territories.

Trough book publications, seminars and active participation to the public debate, AreaS promotes democratic principles and analyzes of how these principles can be strengthened or undermined.

The Research Group for Cyber-physical systems (CPSForsk) looks at systems where it is essential to observe and manage physical things. Therefore, we investigate digitalization: robots, smart houses, energy efficiency, and modern production technology. In our research we include modeling, real time systems, networks, cloud services and Internet-of-Things.

The research group focuses on developing methods, tools, and techniques to increase participation in both professional and end-user design practices in the digital society. We aim to further the agenda of making design accessible to everyone, by empowering people with tools to actively engage in and contribute to co-creative practices in the digital society. Currently, the group is involved in projects in several domains, health, education, engineering, and media, providing a diverse research environment for the group members.

DIGICOM conducts research on various forms of communication within the digital society. Communication is important for human beings, and the ways we communicate are changing rapidly.

The Information Systems and Software Engineering (ISSE) research group conducts research and teaching in the broad field of information systems and software engineering disciplines.

Machine Learning (ML) and Artificial Intelligence (AI) are enabling technologies for the digital society. Our group conducts both basic research to develop new methods in AI and ML, as well as apply cutting-edge methods in diverse application domains.