Data science

How can we take advantage of large data sets effectively and efficiently?

Big data, in particular combining multiple data sources, lets us ask new and more nuanced questions, get precise answers and discover new and surprising information. Big data masses require automating their processing, and the interpretation of data. We need efficient methods for analyzing, refining and visualizing big data, so that we can benefit from it reliably and timely. Our emphases in research on data science include the following:

  • big data, data mining
  • data analytics, modeling, prediction
  • data visualisation
  • machine learning, AI
  • automated decision making
  • high-performance computing, cloud computing