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.
02 November 2022
Kun je een trauma verwerken met virtual reality
Hoe kan een ervaring in Virtual Reality je echte leven veranderen? Kan VR bij mensen gedragsverandering of traumaverwerking tot stand brengen? Dr. ir. Willem-Paul Brinkman van de TU Delft legt het uit in dit college.
02 November 2022
Kaitai from the Cybersecurity Group @ EEMCS was invited to present technical talks and introduce the group at the ONE Conference
Kaitai from the Cybersecurity Group @ EEMCS was invited to present technical talks and introduce the group at the ONE Conference - the Europe’s prime cybersecurity event, hosted in The Hague with 2000+ attendees.
01 November 2022
Frans Oliehoek new Director ELLIS Delft Unit
04 October 2022
Drivers of partially automated vehicles are blamed for crashes that they cannot reasonably avoid
People seem to hold the human driver to be primarily responsible when their partially automated vehicle crashes. But is this reasonable? Researchers Niek Beckers, Luciano Cavalcante Siebert, Merijn Bruijnes, Catholijn Jonker & David Abbink from the AiTech initiative investigated the apparent mismatch between the public’s attribution of blame and finding from the human factors literature regarding human’s ability to remain vigilant in partially automated driving.
28 September 2022
IETF/IRTF Applied Networking Research Prize for Cybersecurity paper
A recent paper co-authored by Professor Georgios Smaragdakis and colleagues from DE-CIX Internet Exchange, Max Planck Institute for Informatics, and the Brandenburg University of Technology receives the joint Internet Engineering Task Force (IETF) and the Internet Research Task Force (IRTF) Applied Networking Research Prize.