One pervasive trend is to quantify more and more aspects of the world and our lives through data. Datafication is radically influencing the way people, companies, societies, and governments exist and operate. This creates new opportunities as well as new hazards. The INSY department aims to enable man and machine to deal with the increasing volume and complexity of data, in close cooperation with their environment.
Together with the software technology department, INSY is responsible for the Computer Science bachelor programme and the two master tracks, Software Technology (ST) and Data Science & Technology (DST). The department also contributes to the Computer Science specializations Cybersecurity, Bioinformatics, and EIT Innovation of the master in Digital Media Technology.
The department integrates fundamental research, engineering and design in the interlocking fields of data processing, interpretation, visualization and interaction using model- and knowledge-based methods and algorithms. The research is inspired by challenges from the domains of consumer electronics and entertainment, cultural heritage, social media, medical and health sciences, security and privacy, and safety and incident management. The department underpins the EEMCS thematic research lines Data Science, Safety & Security, and Health & Wellbeing.
PAL 4 Future Health
Can computers improve themselves?
Instead of writing detailed algorithms, a Dutch researcher is teaching computers how to prioritise tasks
Odette Scharenborg Elected
Odette Scharenborg was elected onto the IEEE Speech and Language Technology Technical Committee* (IEEE SLTC; period 2019-2021).
Do not expect too much from robots yet
Can computers figure out what’s important?
The real world is too complex to be modelled in detail, so a Dutch researcher is helping computers prioritise what’s important to get things done.