Data Science @ UM
Vast amounts of data are 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 used to obtain insights from data.
Value proposition
We are a pioneering, university-wide network of data-driven researchers at an institution with more than 25 years’ experience in Data Science education and research. Our community consists of multidisciplinary teams that address significant scientific problems and major societal issues through and related to data science including social, legal and ethical concerns in a wide range of academic disciplines.
- University-wide network
- 25 years experience
- Multi-disciplinary teams
How can we use data science to create knowledge that strengthens and empowers society? The data science community at Maastricht University helps provide the answers.
News
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Programming quantum computers, like the quantum computer itself, is still in its early stages. Quantum computing researchers tend to be physicists, mathematicians, or computer scientists who have a special interest in the mathematical framework of quantum mechanics.
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For the series "The societal impact of UM research", Professor Christopher Brewster was interviewed by Observant's Dennis Vaendel. This edition is entitled "How UM computer scientists are developing software for farmers".
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Atoms and smaller elementary particles behave in unusual, sometimes unpredictable ways. It sounds strange, but it is this unpredictability that gives a quantum computer its power. Executing precise calculations with previously unheard-of possibilities in a way that physicists still do not completely...
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Dani Shanley and Joshi Hogenboom on synthetic data, the pains and gains of interdisciplinarity, and why AI likely won’t release us from having to study the world we live in.
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On April 19, during her inaugural lecture, Anna Wilbik explained how we can squeeze out the whole potential of data to the last drop.
