Facilities NWA-ORC Consortium AI

DesignLab is a creative and cross-disciplinary ecosystem at the University of Twente, connecting science and society through design. Faculty and students from all fields work together with companies and governments to implement and develop scientific and technological insights.

Behavioural Data Science Incubator (BDSI) sparks innovation and collaboration in data science that involves human behaviour: we accelerate and inspire data-driven research within BMS that uses statistical models, machine learning or simulation techniques.

The Ethics and Epistemology of Artificial Intelligence (AI) initiative—or the “EthEpi of AI”, for short—aims to advance fundamental AI research, taking advantage of the best that an interdisciplinary research community has to offer. Our strategy is to address a methodological lacuna in the field of AI and to contribute to the resolution of pressing issues connected to the concept of “intelligence”.

The BMSLab aims to seek solutions to social challenges by implementing state of the art technology. A high-tech environment provides the opportunities for smart innovations which can contribute to social science research.

The BMS Datalab webpage sets out how to handle research data safely, legally, ethically correct, and methodically soundly.

The Data Science and Artificial Intelligence Lab (DS&AI Lab) of the faculty of EEMCS aims to connect external organisations to our researchers and students.

MKB Datalab-Oost (SME Datalab East) is an initiative of Radboud University and University of Twente and helps SMEs and (semi-)governmental institutions in the East Netherlands region to do smarter business with AI and data.

Several researchers at the University of Twente are exploring ways to use data and artificial intelligence (AI) to improve education decision-making.

In AI hub East Netherlands, entrepreneurs, knowledge institutions and governments in the region work together on AI applications for a more sustainable and healthier life.

Digital twinning for urban and rural environmental modelling. The focus is on collaboration and interdisciplinary research aiming at developing solutions that can address global challenges such as climate change, biodiversity loss, pandemics, and pollution, among others.

In the geo community, the term “geoAI” is becoming more and more pervasive. The scientific field of geospatial artificial intelligence (geoAI) combines innovations in spatial science with the rapid growth of methods in AI and big data. It can be identified as a three-pillar: data-driven, knowledge-driven, and highlights geospatial applications.

The Centre for Networked Systems and Intelligence (EDGE) unites close to a hundred researchers from the University of Twente and partners across sectors, driving cutting-edge research in computing, communications, and sensing technologies.

We are currently at the start of launching a research lab called: “Embedded AI Lab” intending to investigate the possibilities of applying Machine Learning solutions to problems that are limited in computing power, memory and inference time while achieving acceptable performance.

The Interaction Lab is a place that connects different fields of research that involve interactive technology. The lab offers a space to study, interact, use, and discover new equipment

The Virtual Reality Laboratory (VR-Lab) on the University of Twente is a high-tech environment used to facilitate multi-stakeholder decision making processes. The inspiring lab makes it possible to present and discuss ideas using the latest audio and video technologies.

Genesis Lab is a laboratory for research and development of physical, mathematical, and computational modules for generative design systems as well as a platform for devising multi-agent systems for gamification of design.

The Twente University Centre for Cybersecurity Research (TUCCR) is a public-private partnership where experts, professionals, entrepreneurs, researchers, and students from industry and knowledge partners collaborate to deliver talents, innovations, and know-how in the domain of cybersecurity.