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.
14 april 2019
Odette Scharenborg published in Speech Communication
The paper provides a systematic review of the literature on non-native spoken-word recognition in the presence of background noise, and posits an updated theory on the effect of background noise on native and non-native spoken-word recognition.
08 april 2019
Geslaagde ReJAM demo bij Pieter van Foreest
24 maart 2019
Cynthia Liem Tweeting for @NL_Wetenschap
In the week of March 25, Cynthia Liem will be Tweeting through this account, that by now has almost 7500 followers. Follow @NL_Wetenschap to learn more about Cynthia’s activities throughout the week!
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.