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.



Research groups

News

17 maart 2019

Information Diffusion Backbones in Temporal Networks

Xiu-Xiu Zhan is giving a contributed talk “Information Diffusion Backbones in Temporal Networks” at Young European Probabilists (YEP 2019) workshop "Information diffusion on random graphs".

10 maart 2019

Hackathon XAI 2018 - 'Explainability in Lifestyle Support'

Current state of the art lifestyle-support applications offer context-aware advice, but lack giving insights in how (and why) such advice was formed. At TNO, we have been working on a number of novel XAI methods that are able to enrich the inferred advice. The goal of the hackathon is to build a next-level support application by offering the best explainability.

10 maart 2019

Van Leeuwenhoeklezing: Met machines meer mens

De snelle ontwikkeling van kunstmatige intelligentie brengt nieuwe kansen voor mensen. Zo zijn er intelligente therapeutische programma’s die mensen helpen om over mentale problemen heen te komen zoals vliegangst, hoogtevrees, slaapproblemen, posttraumatische stress.

06 maart 2019

Catholijn Jonker geeft voordracht bij Landelijk Architectuur Congres

Steeds meer professionals, zoals artsen en rechters, laten zich bij hun besluitvorming bijstaan door IT-systemen die gebruik maken van Big Data en zelflerende algoritmes. Hierbij is het vaak om commerciële of technische redenen niet mogelijk om te achterhalen hoe een advies tot stand is gekomen. De ethische implicaties hiervan zijn verstrekkend en potentieel maatschappij-ontwrichtend.

19 februari 2019

PAL 4 Future Health

On wednesday February 6th 2019, we organized the “PAL 4 Future Health” event to share and discuss the results of the European PAL-project (http://www.pal4u.eu/ ). This project has developed empathic educational technology to enhance the diabetes self-management of children.