Institute of Data Science
Vast amounts of data being generated across all segments of society. If taken advantage of, these data offer an unprecedented opportunity to accelerate scientific discovery, to improve healthcare and wellbeing, and to strengthen our communities. Data Science is an interdisciplinary field concerning the scientific methods, systems and workflows to obtain insights from data.
Data Science has the potential to affect all aspects of human activity. We embrace this development and are preparing a new generation of data scientists, scholars and entrepreneurs who work in a collaborative manner to tackle the world’s most pressing problems.
Research
Research at IDS focuses on:
- accelerating scientific discovery through powerful platforms for scalable, collaborative and reproducible discovery science
- improving clinical care and wellbeing by developing a learning health system to understand the health of diverse populations and to maximise the wellness and health outcomes for individuals.
- empowering communities so that they can learn what works, what doesn’t, and how to enact change to improve the quality of life for themselves and their neighbours
IDS aims to tackle impactful research problems through multidisciplinary teams involving students, researchers, partners, and stakeholders inside and out of the university. We aim to train the next generation of data scientists to be even more collaborative and interdisciplinary.
News
Maastricht verwelkomt 2026 World Conference on Computational Intelligence
In 2026 komen drie grote congressen over computational intelligence samen in Maastricht.
Universiteit Maastricht partner in ICAI-samenwerking
Vanaf 1 september is het Innovation Center for Artificial Intelligence officieel een samenwerkingsverband tussen 18 Ne
Universiteit Maastricht helpt landbouw met software
Twee recent gestarte Europese projecten helpen landbouwers aan nieuwe softwaretechnieken en maken het vinden van op hun p
GENIUS-lab: Kunstmatige intelligentie als hulp voor de mens
Hoe kan kunstmatige intelligentie experts bij hun werk helpen?
Adriana Iamnitchi houdt van een uitdaging
Adriana Iamnitchi’s carrière was als een gespreid bedje.
Calendar
Prof. Michel Dumontier
Professor Data Science
"Data science offers a solid foundation to examine and understand the world we live in. Importantly, it has never been so easy for young researchers to tackle important issues facing communities using cheap computing power and somebody else's data."
