Centres, groups and other initiatives

Center for Applied Mathematics and Operations Research

AMOR aims to be a leading research center for curiosity driven, groundbreaking and innovative research at the intersection of applied mathematics, artificial intelligence (AI), statistics, and operational challenges in business and industry.

Karen Spens, Fabian Harang og Ole Robert Reitan
News

New research project aims to cut emissions and food waste in the grocery industry

Reitan Retail has partnered with BI Norwegian Business School to launch a groundbreaking research project aimed at developing solutions to reduce emissions and food waste within the grocery sector.

News

    For all years

  • BI Thursday, December 18, 2025

    Research opportunities at BI Norwegian Business School

    The Department of Data Science and Analytics invites applications for several researcher positions in Oslo, focusing on applied mathematics, AI, and decision sciences.

  • BI Monday, September 8, 2025

    BI researchers awarded EU funding

    Erna Engebrethsen and Mehdi Sharifyazdi will investigate logistics and maritime infrastructure for Carbon Capture Storage and Transportation (CCS) in the Nordic and Baltic regions.

  • BI Friday, August 29, 2025

    Oslo Maritime Stiftelse støtter BI-forskning

    Støtten vil gå til professor Ellen J. Eftestøl og hennes forskerteam, som skal undersøke hvordan EUs og FNs rammeverk for skipsfart vil påvirke norske rederiers flåtesammensetning, teknologiinnføring og valg av alternative drivstoff.

  • External link Tuesday, August 19, 2025

    AMOR and REMA 1000 at the Professional Day of the Langs Akerselva Festival

    At the professional day of the festival Langs Akerselva, Professor Fabian Harang from BI Norwegian Business School and Sindre Andreassen, Head of Operations at REMA 1000, engaged in a dialogue on how collaboration between academia, business, and public administration can help address complex and real-world challenges in society and industry.

  • External link Tuesday, August 19, 2025

    AMOR at Arendalsuka: Collaboration between business and academia

    During Arendalsuka, Professor Fabian Harang from BI Norwegian Business School took part in a panel debate in the DN tent alongside Ole Robert Reitan (CEO and owner of Reitan Retail), Sigrun Gjerløw Aasland (Norwegian Minister of Research and Higher Education) and Alexandra Bech Gjørv (CEO of SINTEF).

  • BI Wednesday, June 11, 2025

    BI med i regjeringens milliardsatsing på KI

    BI-AMOR er en av partnerne i senteret «Sustainable, Risk-averse and Ethical AI» som skal forske på hvordan man kan utvikle KI som svarer på bærekraftsmål om energiforbruk, sikkerhet og ansvarlighet.

  • External link Friday, April 11, 2025

    International Shipping: Who Levels the Playing Field?

    In the realm of international shipping, the regulatory landscape is complex and diverse, with multiple rules shaping the industry's market conditions

  • External link Monday, March 31, 2025

    AMOR Strengthens Collaboration with Harvard Business School and Leading U.S. Universities

    In March, Prof. Fabian Harang, Director of AMOR – Center for Applied Mathematics and Operations Research at BI Norwegian Business School, visited Harvard Business School together with Mr. Tore Høylie from the top management of REMA 1000.

  • External link Monday, March 24, 2025

    Paradox in Sustainability Reporting: More Standards May Reduce Transparency

    A recent study published in European Management Journal sheds light on a surprising paradox in sustainability reporting: while the Global Reporting Initiative (GRI) standards have become increasingly comprehensive, their growing complexity may be undermining the very transparency they aim to promote.

  • External link Friday, February 14, 2025

    A New Approach to Approximating Fair Prices of Complex Financial Products

    Pricing complex derivatives remains a key challenge in financial mathematics. These instruments, often used to hedge risk, have intricate, path-dependent payoffs that make traditional pricing methods computationally intensive and analytically complex.