In UHasselt’s Data Science Institute, over 150 enthusiastic researchers work on fundamental and applied data science research. Our research is driven by curiosity, civic engagement and fostered by collaboration with other scientists across various disciplines
Data governance defines who can take what action, upon what data, in what situations, for which purposes, using what methods.
Data engineering refers to all tasks and efforts needed in order to make raw data fit for analysis.
Data analytics and modelling
Through data analytics and modelling, we get closer to obtaining insights from data. DSI’s models are inspired by physics, mathematics, statistics, computer science (heuristic), and may involve machine learning and AI.
We consider this a transversal theme, which integrates the expertise of the other research lines with the intention to support the decision making process of for example researchers, clinicians, policy makers, businesses.
In this research line, we develop methods, tools and proofs of concept.
The following research tools are used for general data analysis, proteomics and clinical trial statistics.
Access to public datasets has become more important than ever. Public data is important to provide more transparency and trust to the general population. Open research data combined with the possibility to collaborate can be crucial for discovering new insights.
Here you may find the latest publications from the Data Science Institute, stored on the Documentserver of the UHasselt.
As part of the Flanders AI Research Program (FLAIR), Hasselt University conducts cutting edge research for meaningful impact on people, industry and society.
A team of UHasselt experts across multiple research domains has been appointed as Principal Investigator and tasked with studying state-of-the-art artificial intelligence solutions on real-life challenges.
Three pillars form the foundation of this program: research, education and networking.
As Covid-19 mathematical and statistical Modelling team (epidemiologists, statisticians, biologists, virologists, mathematicians, computer scientists,...) we try to predict the course of the virus and the way the course will change by taking measures or adept them. Based on the insights in different models, we advise policymakers, so they can decide on the measures that are necessary to contain or flatten the epidemic.
Interested in financially supporting the DSI-research?
Please find the ways to contribute at the following page.