Note the location is Tapijnkazerne Z, Room 0.014. See you there !
FYI @maasuniversity @UM_DKE @MaCSBio @FasosMaastricht @lawinmaastricht @FHMLmaastricht @umsbe @bigcat_UM @MAASTROclinic @MaastrichtUMC https://t.co/WRx4tb58HA
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.
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.
Dr Amrapali Zaveri, along with the co-authors, won the Best In-Use Paper at the 14th European Semantic Web Conference for the paper entitled 'smartAPI: Towards a more intelligent network of Web APIs'.
This week, Maastricht University was featured in the Frankfurter Allgemeine Zeitung in a series about exceptional universities. Amongst other people, the newspaper talked to Professor Michel Dumontier, Professor Hildegard Schneider and Martin Paul, UM’s president.
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."