Datascience - Community
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. The data science community of Maastricht University is home to multiple institutes covering a wide range of expertise.
The community is made up of research institute within Maastricht University that are linked to the field of data science
GSBE: Data-Driven Decision-Making (D3M)
D3M’s team focuses on key research areas including disruptive technologies and business models, consumer and workforce analytics, risk and uncertainty quantification, big data’s role in official statistics, pensions, financial markets and asset pricing, micro- and labour economics, digital platforms, and fields such as large-scale optimisation (both applied and theoretical) and related mathematical systems.
Business Intelligence & Smart Services (BISS)
The Business Intelligence & Smart Services (BISS) institute is a collaboration between Maastricht University, Zuyd University of Applied Sciences, and the Open University. BISS carries out excellent, fundamental and applied research in the field of Business Intelligence and Smart Services.
DataHub provides building blocks for your data driven research, and works continuously on innovative research driven solutions and actively involved in developing knowledge, guidance and capacity building in managing and sharing data, primarily for the health sciences.
Department of Bioinformatics (BiGCaT)
BiGCaT is involved in (inter)national initiatives to collect, share and integrate biological data.
Department of Data Science and Knowledge Engineering (DKE)
Research at DKE is focused on Robotics, Agents and Interaction, Networks and Strategic Optimization and Biomathematics and Bioinformatics. Teaching takes place in the Bachelor's programme: Data Science and Knowledge Engineering and the two Master's programmes: Artificial Intelligence and Data Science for Decision Making.
Department of Toxicogenomics (TGX)
At the Dept. of Toxicogenomics (TGX), a multidisciplinary team of biologists, chemists, toxicologists and bioinformaticians is working in close collaboration to establish the biological impact of exposures to potentially toxic compounds.
Institute of Data Science (IDS)
The mission of the Institute of Data Science is to foster an interfaculty environment for collaborative innovation in the development and application of data science technologies.
Maastricht Centre for Systems Biology (MaCSBio)
The Maastricht Centre for Systems Biology (MaCSBio) aims to develop a set of computational and mathematical models, applicable in science and clinic, that will advance our understanding of biological systems, and predict progression and treatment of complex diseases over time.
Maastricht European Centre for Privacy and Cybersecurity (ECPC)
The European Centre on Privacy and Cybersecurity offers a platform for research focused on legal issues related to personal data protection and cybersecurity.
Maastricht MultiModal Molecular Imaging Institute (M4I)
The Maastricht MultiModal Molecular Imaging Institute (M4I) is a state-of-the art molecular imaging institute that brings together a powerful palette of high-end, innovative imaging technologies.
The Maastricht Study is an extensiveness phenotyping study that focuses on the etiology of type 2 diabetes. The Maastricht Study is expected to become one of the most extensiveness phenotyping studies in both the general population and type 2 diabetic participants world-wide.
MAASTRO Clinic is a radiotherapy institute that provides radiation therapy for various types of cancer for patients in Limburg.
The importance of ELSI
Data, information, knowledge and understanding has always driven society - the revolution of new methodologies and technologies that we are developing and discovering today push that drive into hyperspace!
Data as a commodity has commercial value, social value, and personal value. Privacy as the dynamic boundaries of relationships between people is challenged by this data revolution. We cannot necessarily rely on traditional, established understandings of society to meet the challenges of this revolution. The revolution challenges us to re-imagine who we are, how we relate to each other, and who we want to be.
Our work examines how existing ethics and law approaches impact on the new methodologies of data science, and how those new data science methodologies challenge on our understandings of law and ethics. We work on the governance of data use. We look at how data are controlled, at the interfaces of privacy, of individuality and solidarity. We ask how we can achieve a consistency between individuals’ different and often competing and conflicting expectations in society. We seek to reconcile those different expectations - between expectations of privacy and the open data society.
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.
...the tool with which undergraduates and even high school students can provide creative solutions and recommendations.
Michel Dumontier, Professor of Data Science
...wondering whether you would trust a robot to take care of grandpa.
Lucy Suchman, Professor of Anthropology of Science and Technology in the Department of Sociology at Lancaster University (UK).
...a great power that comes with great responsibility - can we ensure a fair and equitable society?
Michel Dumontier, Professor of Data Science, Maastricht University.
...your smart fridge knowing how much milk you drink and your smart heating system knowing when you are not home. There’s inevitably a trade-off between convenience and vulnerability.
Apostolis Zarras, assistant professor at the Department of Data Science and Knowledge Engineering, Maastricht University
...not easily available to the public and a decentralised marketplace for exchanging data will change that.
Oskar Person (1990) holds a BSc from the Maastricht Science Programme and is currently doing the Master in Data Science for Decision Making at the Department of Knowledge Engineering.