Hi all, we are now on Instagram !! Follow us here to catch behind the scenes of what goes on in our institute: https://www.instagram.com/ids_um/ :)
Happy Weekend everyone !!
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 at IDS focuses on:
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.
From Apple's personal assistant Siri helping you out to Netflix recommending content for you, artificial intelligence and big-data technologies are increasingly affecting our daily lives. Is society prepared for the data revolution we are experiencing? And what will the data-filled world of the future look like? These questions are being explored on 26 January during Maastricht University’s 42nd Dies Natalis. Keynote speakers Sally Wyatt and Michel Dumontier share their thoughts on data in academia.
The Institute of Data Science (IDS) at Maastricht University is the only European research group invited to take part in an international research project led by the National Center for Advancing Translational Sciences (NCATS) in the USA.
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."