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Faculty of Science and Engineering

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
Go to the Data Science@UM website

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

  • Postdoc part of ESOF Panel on AI

    Wednesday, July 18, 2018

    Amrapali Zaveri, postdoc at IDS,  was part of a panel on “Increasing Scientific Productivity through Artificial Intelligence” of the EuroScience Open Forum conference.

     

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  • dumontier en wyatt

    The future of data in academia

    Wednesday, January 24, 2018

    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.  

     

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  • Institute for Data Science

    Institute of Data Science lands two major research projects on FAIR data

    Monday, October 9, 2017

    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.

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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."

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