Priority areas
- Data engineering
- Statistical modelling
- Big-data analytics
- Decision support
06.02 · RESEARCH CENTER
Data Science and Big Data Analytics Research Center
Develops robust data pipelines, analytical models and decision-support methods grounded in traceable data and fit-for-purpose evaluation.06Research cluster
02Center number
EVIDENCEWorking principle
01CENTER MANDATE
Research focus and application pathway
The center develops domain-specific evidence, defines suitable conditions and works with relevant partners on validation and responsible application.
From research question to reliable evidence
Work is organized around explicit questions, appropriate methods, controlled data and stage-specific conclusions. Engineering or application claims are tied to the tested configuration, conditions and available evidence.
Open, task-based cooperation
The center may collaborate with universities, research institutions, scientific teams, technology companies and application partners on defined research, evaluation and validation tasks.
Discuss cooperation →Responsible communication
Research direction, project status and technical conclusions are stated separately. A research topic or early-stage result does not by itself constitute certification, regulatory approval, clinical guidance or a commercialization commitment.