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.