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.
Fast facts
- interfaculty institute
- fosters a collaborative environment for cross-disciplinary data science research and training
- develops standards to facilitate navigating the knowledge landscape
- led by prof. Michel Dumontier
- hiring for diverse data science positions
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
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Vanaf 1 september is het Innovation Center for Artificial Intelligence officieel een samenwerkingsverband tussen 18 Nederlandse kennisinstellingen, waaronder de Universiteit Maastricht
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Twee recent gestarte Europese projecten helpen landbouwers aan nieuwe softwaretechnieken en maken het vinden van op hun praktijkgerichte kennis eenvoudiger.
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Hoe kan kunstmatige intelligentie experts bij hun werk helpen? Deze vraag wil het net gestarte GENIUS-lab beantwoorden. Onderzoekers zoeken betere manieren waarmee kunstmatige intelligente systemen informatie uit data halen. Het lab is een samenwerking tussen de Technische Universiteit Delft, de...
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Adriana Iamnitchi’s carrière was als een gespreid bedje. Ze werkte als full professor bij het Department of Computer Science and Engineering van de University of South Florida. Toch zocht ze een andere uitdaging en kwam naar Maastricht, om zich hier te storten op onderzoek naar sociale media.
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Op 25 oktober ging het internationale onderzoeksconsortium iCARE4CVD van start. Het consortium wil meer inzicht verwerven in hart- en vaatziekten en zoekt nieuwe manieren om deze ziekten in de toekomst optimaal te voorkomen en behandelen.
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."