Research Area Data Science

Data Science Center

Connecting methodologies to applications to key users and vice versa.

We act as a window to the world

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.

DSCE’s mission is plain and simple: we want to stimulate the quality and quantity of Data Science research at the TU/e.  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. DSCE want to stimulation and support this important trend.

To realize our vision, we have a threefold strategy:

  1. We act as a window to the world. This has two directions: interested external parties can easily reach us in order to investigate potential cooperation possibilities. Vice versa TU/e groups are supported to reach out, communicate about their work and explore new cooperation possibilities.
  2. We act as a meeting place, where new interesting ideas are born. We facilitate and stimulate sharing of ideas, methods and application areas, both internally as well as externally.
  3. We help define new projects & organize support in obtaining funding. This is mainly done through our research programs, where researchers from various groups all work from their own expertise on commonly interesting challenges.

The DSCE core team runs the daily operations and initiates and stimulates the research programs. The core team exists of:

  • Jack van Wijk - Scientific Director
  • Mark Mietus - Director Operations
  • Wouter Duivesteijn - Program Manager Customer Journey (CJ)
  • Marius Monen - Program Manager Internet of Data (IoD) and Smart Manufacturing & Maintenance (SMM)
  • Pieter Van Gorp - Program Manager Health Analytics (HA) and Quantified Self (QS)
  • Patricia van Zachten - Communication & Secretary   

DSCE Core Team

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JADS

TU/e Data Science is proud member of  JADS (Jheronimus Academy of Data Science), a cooperation between Eindhoven University of Technology, Tilburg University, the municipality of ’s Hertogenbosch and the province Noord Brabant. JADS is the overarching label for Data Science research at TU/e and TiU, and also has a physical presence in ‘s Hertogenbosch.
‘s Hertogenbosch is to become the vibrant center of Data Science education, research and valorization in the region and in the Netherlands. Here scientists from both universities meet and work together on regular base, enabling multi-disciplinary cooperation.


Data Science education
All Data Science educational programs (Bachelor, Master, PDEng, and professional education) are organized in a joint JADS program, supported by TU/e and Tilburg University.

 

Contact us

  • Visiting address

    Data Science Center Eindhoven
    MetaForum 5.096
    Groene Loper 5
    5612 AZ Eindhoven
    The Netherlands
  • Postal address

    Data Science Center Eindhoven
    MetaForum 5.096
    PO Box 513
    5600 MB Eindhoven
    The Netherlands
  • Contact Person

    Patricia van Zachten - Knubben

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