Full-stack Engineering for Data Science
Our research is characterized by a strong focus on the engineering aspects of big data and data science systems. By means of combining and integrating our strengths in the hardware, software and data management layers of the data stack, in DDS we are in a unique position to address the challenges and innovations that come with the full-stack engineering of big data and data science systems.
Visual and Social Data
Humans play roles in the analytics, for example interpreting the data science outcomes in visual analytics, or for example aiding data science systems in the interpretation of data by means of human computing and crowdsourcing. In addition, many applications are handling data that concerns people and that is for example generated by those people: this brings challenges in terms of the interpretation of that data and its handling that go beyond the standard data science challenges. In DDS, our research is characterized by a strong focus on the aspects of data science that relate to humans, in a variety of roles.