Simula@BI
The purpose of Simula@BI is to facilitate collaboration on research and teaching in data science between BI Norwegian Business School and Simula Research Laboratory.
BI Research Centre
Research themes and funding
Research areas of interest include theoretical and applied directions within Computational Social Sciences.
Methodology
- Time-series
- Graph-data, graph modeling, graph constraints
- Natural Language Processing
Hybrid modeling (PDEs/ODEs-NN)
High performance computing
Applications
Econometric and financial modeling
- Causality/NLP/time-series
Social sciences
- Discovering and aggregating quantities of interest from semi-structured data
Marketing
- Behavioural modeling
Costumer care
- Churn/retention modeling
We expect these, and more, research areas to become more tightly defined as Simula@BI matures.