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Faculty of Science and Engineering

Institute of Data Science

We have embraced the critical importance of “responsible data science by design” as a core element of our mission.


Responsible data science emerges when people and institutions operate according to social norms and values, legal obligations, and ethical actions when they procure, analyse, and disseminate data. “By design” refers to the need for


  • ongoing ethical reflection

  • organisational commitments

  • responsive technology development, and

  • evaluative mechanisms.


Responsible data science by design is important because


  • it enables communities to express their values and protect them

  • it fosters innovation

  • it facilitates the European single market, and

  • it empowers data science to help build a participatory data-driven society.


Read more about responsible data science by design at IDS.

Fast facts

  • focused on responsible data science by design
  • 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

  • ODISSEI logo

    Data Science Institute UM takes part in national consortium

    Monday, May 25, 2020
    Read more

  • Data Science Institute UM takes part in national consortium

    Thursday, May 14, 2020

    The Maastricht University Institute of Data Science (IDS) is a participant in the ODISSEI consortium, which received €9 million from The Dutch Research Council to accelerate the development of computational social sciences in the Netherlands over the next five years.

    Read more
  • womenindatascience

    The first ever Women in Data Science Conference in Maastricht

    Thursday, March 5, 2020

    Women in Data Science (WiDS) aims to showcase outstanding work done by women in the field. WiDS started at Stanford in November 2015 and has now evolved into a global conference with more than 200 events worldwide. 

    Read more

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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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