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RESIST - Resilience and Security for Trustworthy AI Systems
Our vision is to make Sweden a role model in secure trustworthy AI by pioneering cyber resilience across the AI lifecycle.
Department of Computer and Information Science (IDA)
The Department of Computer and Information Science is one of the largest departments in northern Europe in its field. Research activity covers artificial intelligence, human-computer interaction, software and computer systems, and data science.
Semantic Web
The Semantic Web is an extension of the traditional Web in which interlinked data with well-described semantics has been added in a machine-processable form.
ELLIIT Focus Period Linköping 2026: Wireless Sensing Technologies for Emerging Applications
The ELLIIT Focus Period in Linköping 2026 will take place from April 7 to May 8, bringing together researchers from several international universities and ELLIIT environments. The organizing division is the Division of Communication Systems...
The Division of Statistics and Machine Learning (STIMA)
The STIMA division is part of the Department of Computer and Information Science. The research and teaching activities are focused on modern data analysis and the division hosts the international master's programme in Statistics and Machine Learning.
Cybersecurity (CYBER)
The division Cybersecurity is part of the Department of Computer and Information Science. The division conducts research and education in cybersecurity and consists of four research groups,
Human-Centered Systems (HCS)
The Division of Human-Centered Systems is a division within the Department of Computer and Information Science. The division's research and teaching is focused on studying and improving the interaction between humans, technology, and society.
Artificial Intelligence and Integrated Computer Systems (AIICS)
The AIICS division is part of the Department of Computer and Information Science. The division's main focus is research and teaching in artificial intelligence, its theoretical foundations and its applications.
Computational Cardio-Oncology
Many pediatric cancer care survivors develop serious cardiovascular complications later in life. The emerging field of computational cardio-oncology leverages advanced data methods to better predict and prevent these complications.
Sports Analytics
Sports analytics deals with using data related to sports events to obtain insights about the sport and its surroundings. The insights can relate to player and team performance, strategies, training, injuries, and rules of the game.