Research Area Data Science
Connecting methodologies to applications and vice versa.
DSCE has been integrated in the Eindhoven AI Systems Institute (EAISI).
Googling on the definition of Data science yields many millions of answers. We use a simple pragmatic definition: “The art of extracting information out of real-world data in order to create value for society”. Data may be structured or unstructured, static or streaming and may have many different formats. Value can be in the form of predictions, automated decisions, models learned from data or any type of data visualization delivering insights. Our definition excludes very important research done on the hardware that is needed to generate, store and process the data. It also excludes research that is using modelled data only.
EAISI’s mission is plain and simple: we want to stimulate AI research at TU/e and create AI for the real world. Our Data Science research is covering a wide variety of methods, techniques and applications. Due to the nature of scientific research we normally ‘go deep’ within one’s own discipline. However, in our vision the most interesting and promising new research happens at the interface of disciplines and is inspired by cooperation with external parties.