Discover the research at Stockholm University through our pages for research subjects, projects and research groups!
They also lead you to our researchers profile pages, our departments and courses and programmes.
Showing 1-10 of 10 results
Emerging technologies, such as algorithmic decision-making, surveillance tools, and generative artificial intelligence (AI), are examples of technologies expected to significantly impact the education sector. To what extent do current university studies prepare students for AI? In what way do they educate students for an AI-mediated future workplace?
The Data Science Research Group focuses on core data science research, as well as on applications where data science can provide insights for decision making. We formulate novel data science problems and develop algorithmic methods and methodological workflows.
The ongoing digital transformation affects us all. For organizations, investing in digital technologies opens up new opportunities for value creation. We are interested in how their performance and culture change because of digital transformation.
Technological advances allow both humans and things to be more connected and exchange information. Our research focuses on how we can participate in real and virtual societies, with regards to application areas such as culture, transport, intelligent vehicles and e-health.
All over the world, organizations are looking to perform better and gain competitive advantage by using IT and digital technologies. The IT Management and Governance group studies how to manage and govern IT and digital investments to support digital transformation.
The Learning Analytics and AI for Education Group does research on how data-driven methods (learning analytics) can be used to understand and strengthen education. We also study the application of AI technology in educational contexts.
The Natural Language Processing Research Group develops, applies and evaluates NLP methods, in particular involving large language models, across various domains. We focus on topics such as privacy, explainability, and domain adaptation.
PRECIS research group deals with theories, methods and tools for analysis and design of organizational and IT solutions in congruence. The group’s research covers three key topics – Enterprise Modelling, Business Process Management, and Conceptual Modelling.
The ReVisE group explores how emergent technologies like IoT, AI, VR and MR can enhance educational practice through innovative visualizations and real-world applications. We collaborate with schools and industry partners across Sweden.
The STIR group brings together a mix of technologists and social scientists. Together, we research and build new digital technologies. Our work is situated within the Human–Computer Interaction field.
