Research institutes

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.

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

  • Data Driven Society event

    UM and Dutch Embassy host Berlin Science Week event

    Monday, November 5, 2018

    Maastricht University (UM) is the only Dutch university to have organised an event together with the Dutch Embassy during the famous Berlin Science Week.

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  • 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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Social media

    • Photo by UMIDS

      RT @CatalinaGoanta: Data quality dimensions https://t.co/7ksTqjO4eC

      1 day 3 hours ago
    • RT @CatalinaGoanta: @amrapaliz giving a talk at the Maastricht Law and Tech Lab, describes the importance of data quality for data analysis…

      1 day 3 hours ago
    • RT @bobdc: New blog entry: Querying machine learning distributional semantics with SPARQL -- Bringing together my two favorite kinds of sem…

      2 days 44 min ago
    • Great that you got to play around with it :) https://t.co/qvbXjeRadz

      2 days 10 hours ago
    • Photo by Institute of Data Science at University of Maastricht

      Please meet our colleague and assistant professor Visara Urovi, who joined IDS this January. Here, Visara will continue her work on distributed system solutions and analysis applied to the health domain by designing distributed platforms for health applications for chronic disease management. For example, in one of her projects, she used data from wearable monitoring to detect and create early interventions for the Metabolic Syndrome. She will also hold some teaching responsibilities and focus on creating actions and activities for facilitating women to the data science field.
      Prior, Visara first obtained a PhD in computer science at the Royal Holloway University of London (three years), and then a Post Doc from the eHealth Institute at the University of Applied Sciences of Western Switzerland (6 Years). During the last two years, she worked at the Business Institute for Smart Services, where she got involved with several Emotion Analytics projects, such as VERA as well as defining Blockchain Based solutions for data sharing.
      Last but not least, Visara loves spending time with her family and cooking Italian food and enjoys walks and good company.
      #UMDataScience #DataScience

      2 days 12 hours ago
    • Photo by Institute of Data Science at University of Maastricht

      Only three days left to apply for this challenging vacancy! We are looking for an enthusiastic Assistant professor in Data Science and Tech Law! Don't miss out on the chance to contribute to a cutting-edge research program that combines law with data science and artificial intelligence. Check out https://bit.ly/2sdcWHx and apply if you are interested.
      #UMDataScience #DataScience #academictransfer #job

      5 days 12 hours ago