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dScience Breakfast Club: How to succeed with partnerships between academia, business and the public sector?

Welcome to the dScience Breakfast Club, where we invite you to discuss and talk about dScience's new partner program.

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Welcome to the dScience lounge on Tuesday, March 14 from 8:45am. Our Partner Program Manager David Cameron and Center Director Morten D?hlen will answer questions about the partner program, and discuss success criteria for partner collaboration between academia, Norwegian business and society.

The dScience partner program is established to develop projects, as well as drive long-term capacity building in areas that are particularly important for Norway. The purpose is to connect outstanding research at UiO with partners, in order to:

  • create greater value from data and digital resources
  • contribute to the green transition of the society
  • contribute to the development of profitable workplaces
  • take strong international positions in selected research areas

The dScience partner program covers important topics such as machine learning, artificial intelligence, digital twin technology, data management and knowledge representation.

KONGSBERG, Helse S?r-?st, Equinor, DNB, DNV and Norges Bank Investment Management (NBIM) are in the dScience partner program from the start, and several companies and units in the public sector are expected as partners.

Program

08:45 – Breakfast is served
09:00 – Brief introduction of the Partner Program by David Cameron and Morten D?hlen
09:15 – Q&A and further discussion

To participate, please fill out the registration form.

Register here

About the dScience Breakfast Club

In these breakfast meetings, researchers and others who work within the thematic field can meet and discuss a chosen topic. These meetings are open to everyone, but we ask you to sign up due to limited space. Breakfast will be served, accompanied with juice and coffee/tea. This is a monthly happening initiated by the dScience council.

Organizer

dScience
Tags: dscience, breakfast meeting, machine learning, causality
Published Mar. 10, 2023 2:00 PM - Last modified Mar. 10, 2023 2:02 PM