Faculty and research

Department of Data Science and Analytics

The Department of Data Science and Analytics is the ninth department at BI Norwegian Business School and was established in 2020. Our faculty have a background in statistics, machine learning, statistical learning, and/or artificial intelligence.

BI Norwegian Business School registers our scientific publications in the national database Cristin (Current Research Information System In Norway).

Below is a list of the most recent publications. Follow this link to Cristin to make an advanced search.


  • Moss, Jonas & Grønneberg, Steffen (2023)
    Partial Identification of Latent Correlations with Ordinal Data
    Psychometrika, 88, p. 241-252. Doi: 10.1007/s11336-022-09898-y
  • Moss, Jonas (2023)
    Measuring Agreement Using Guessing Models and Knowledge Coefficients
    Psychometrika. Doi: 10.1007/s11336-023-09919-4
  • Høst, Anders Mølmen; Lison, Pierre & Moonen, Leon (2023)
    Constructing a Knowledge Graph from Textual Descriptions of Software Vulnerabilities in the National Vulnerability Database
  • Miroshnychenko, Ivan; Vocalelli, Giorgio, De Massis, Alfredo, Grassi, Stefano & Ravazzolo, Francesco (2023)
    The COVID-19 pandemic and family business performance
    Small Business Economics. Doi: 10.1007/s11187-023-00766-2
  • Bashiri Behmiri, Niaz; Fezzi, Carlo & Ravazzolo, Francesco (2023)
    Incorporating air temperature into mid-term electricity load forecasting models using time-series regressions and neural networks
    Energy, 278. Doi: 10.1016/j.energy.2023.127831
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