The objectives are
- to invent new efficient and effective means of enabling value creation from big data and
- to develop software prototypes as a foundation for empirical studies and demonstrations with real-world data in collaboration with users.
The thematic area of Big Data involves the invention, integration, and empirical study of algorithmic techniques, and it involves analytics including machine learning and data mining. As such, Big Data has very substantial interfaces to the thematic areas Artificial Intelligence (in relation to machine learning) and Algorithms and Data Structures. There are also links to the thematic area Cyber Physical Systems and Internet of Things, e.g. in relation to distributed data platforms.
Further, there are links to the thematic area Human Computer Interaction, CSCW and InfoVis, e.g. in relation to the efficient visualisation of massive data. The area Business Innovation, Processes and Model is concerned in part with aspects related to introducing Big Data technologies into organisations. Finally, there are relations to the thematic area Ethics, e.g., in the areas of transparency and privacy.