Faculty and research

Department of Data Science and Analytics

The Department of Data Science and Analytics is a new academic department at BI Norwegian Business School. We are currently hiring faculty with 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 (2022)
    Infinite diameter confidence sets in Hedges’ publication bias model
    Journal of the Korean Statistical Society. Doi: 10.1007/s42952-022-00169-1
  • Avesani, Diego; Zanfei, Ariele, Di Marco, Nicola, Galletti, Andrea, Ravazzolo, Francesco, Righetti, Maurizio & Majone, Bruno (2022)
    Short-term hydropower optimization driven by innovative time-adapting econometric model
    Applied Energy, 310. Doi: 10.1016/j.apenergy.2021.118510
  • Langguth, Johannes; Filkukova, Petra, Brenner, Stefan, Schroeder, Daniel Thilo & Pogorelov, Konstantin (2022)
    COVID-19 and 5G conspiracy theories: long term observation of a digital wildfire
    International Journal of Data Science and Analytics (JDSA). Doi: 10.1007/s41060-022-00322-3
  • Straume, Hans-Martin; Asche, Frank, Oglend, Atle, Abrahamsen, Eirik Bjorheim, Birkenbach, Anna M., Langguth, Johannes, Lanquepin, Guillaume & Roll, Kristin Helen (2022)
    Impacts of Covid-19 on Norwegian salmon exports: A firm-level analysis
    Aquaculture, 561. Doi: 10.1016/j.aquaculture.2022.738678
  • Yang, Wei-Ting; Reis, Marco, Borodin, Valeria, Juge, Michel & Roussy, Agnès (2022)
    An interpretable unsupervised Bayesian network model for fault detection and diagnosis
    Control Engineering Practice, 127. Doi: 10.1016/j.conengprac.2022.105304
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