About the project
The SODA project aims to develop groundbreaking statistical and machine-learning methods for real-time anomaly detection. Additionally, the project aims to pioneer novel applications of these algorithms, including monitoring AI systems for anomalous behavior.
Project team
- Principal Investigator Ingrid Kristine Glad, University of Oslo
- Per August Jarval Moen, University of Oslo
- Sebastian Grau Nielsen, University of Oslo
- Nils Lid Hjort, University of Oslo
- Martin Tveten, Norwegian Computing Center
- Idris Eckley, Lancaster University
Project period
1 October 2025 - 30 September 2029
Funded by
Research Council of Norway, Researcher Project for Experienced Scientists (FRIPRO)(project number 356322)