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Build your competence on relevant research
BI has one of Europe's most productive research environments in business, management and marketing. We work hard to be the best in the subjects we teach. BI is committed to help develop subjects and industries to better and serve society. To achieve this, we must do research. BI's research contribution performs on an international top level. An expert panel in 2018, commissioned by the Research Council of Norway, evaluated the state of social science research in Norway, and gave the represented institutes from BI top marks. On a scale of 1 to 5 (excellent), they got 4 and 5. They were, amongst other criteria’s, assessed based on quality, productivity, international focus, and publications.
BI has organized its academic activities in 9 departments and 8 research centers, which contribute with relevant and future-oriented research. The research covers a wide range of disciplines belonging to a modern business school. BI's researchers published over 200 scientific journal articles in 2020 and more than 30% of these have been published in highly acclaimed publications. By studying at BI, you build your competence on updated insight and research, and ensure that your profile is relevant for the future job market.
“According to the investor Warren Buffet, price is what you pay, and value is what you get. I want to contribute to aligning the two, so that you get what you pay for.”
“I want to improve decision-making by making sure politicians look at all relevant knowledge before they make a decision.”
“I am a legal scholar, so I first and foremost want to influence policy making in data protection and competition law. Maybe it's far-fetched, but I want a future where corporations compete as intensely for protecting our data as they currently do for collecting it.”
Together with researchers from Harvard and Stanford, Professor Jon H. Fiva, will lead a new research project to investigate whether all citizens in fact have equal opportunities to move up in the political hierarchy.
The project is about better understanding the risk in losing access to external funding and how institutions in society handle tensions in the financial system.
A mathematical project aimed at making computers better at identifying images. Image recognition technology has a huge array of uses, from Google searchers to self-driving cars.
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