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.
10 mei 2021
Learning Complex Policy Distribution with CEM Guided Adversarial Hypernetwork
Frans Oliehoek presented his paper "Learning Complex Policy Distribution with CEM Guided Adversarial Hypernetwork" at the 20th International Conference on Autonomous Agents and Multiagent Systems (Aamas 2021) on may 5th, 2021.
10 mei 2021
AI in de designfase: onbegrensd beperkt?
Catholijn Jonker gaf op 22 april j.l. een voordracht "AI in de designfase: onbegrensd beperkt?" over Hybrid Intelligence met het thema ‘AI in healthcare: towards a doctor-driven approach?’ tijdens het derde online Medical Delta Café van 2021.
04 mei 2021
Case Study AI in Image Driven Care
On monday April 12th Catholijn Jonker gave the lecture "Case Study AI in Image Driven Care" at the Lorentz Center. It was part of the workshop Explainable Medical AI.
09 maart 2021
Paper about influence in structured multiagent environments published
Making decisions in complex environments is a key challenge in artificial intelligence (AI). Situations involving multiple decision makers are particularly complex, leading to computational intractability of principled solution methods.
09 maart 2021
New EU's Horizon 2020 grant
We are pleased to announce that the project "artificial Intelligence threat Reporting and Incident response System” (IRIS) has been recently granted under the EU's Horizon 2020 research and innovation programme.