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BI Research Centre

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.

Calendar

Upcoming activities

About the Simula@bi Research Seminars


The research seminars in data science will consist of talks on fundamental and applied research within statistics, machine learning and artificial intelligence.

To register for an event, click on the event above. The registration opens  about 1 week before the event. This webpage will be updated as soon as we have confirmed the participation of the speakers.

Seminars spring 2023

  • Tuesday 24 January 2023 - Seminar in statistics/econometrics with Tomás Del Barrio Castro, University of the Balearic Islands 
  • Tuesday 7 February 2023 - Seminar in data science with Arthur Turrell, Office for National Statistics UK
  • Tuesday 14 February 2023 - Seminar in statistics/econometrics with Florian Bechtold, Bielefeld University
  • Tuesday 7 March 2023 - Seminar in AI with Luca Gazdag, University of Oslo
  • Tuesday 14 March 2023 - Seminar in statistics/econometrics with Head of European Power Research Gabriele Martinelli, Refinitiv
  • Tuesday 21 March 2023 - Seminar in machine learning with Ed Saiedi, BI Norwegian Business School 
  • Tuesday 18 April 2023 - Seminar in statistics with G. Stefan Gudmundsson; University of Aarhus
  • Tuesday 16 May 2023, Seminar in machine learning with Mattias Villani, Stockholm University 
  • Tuesday 23 May 2023, Seminar in statistics/econometrics with Rickard Sandberg, Stockholm School of Economics
  • Tuesday 30 May 2023, Seminar in machine learning with Andrey Kutuzov, University of Oslo 
  • Tuesday 6 June 2023, Seminar in mathematics with Angela Angelska, University of Tampa, FL USA

Open participation. Contact Siri Johnsen for information: siri.johnsen@bi.no

If you would like to suggest a speaker, contact Assistant Professor Silvia Lavagnini

Join our e-mail list to get invitations to our events about 1 week before the event.