dScience events
Welcome to our weekly lunch seminar held in the dScience lounge area with Øyvind Christiansen.
Welcome to our dScience lunch seminar in the Science Library with Hedvig Nordeng.
News
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Safety of AI in Energy & Critical Infrastructure – recap from workshop Apr. 17, 2024 5:29 PM
The workshop on "Safety of AI in Energy & Critical Infrastructure" held on March 21, 2024, at NBIM London office, addressed the integration of AI in critical infrastructure and energy systems. The focus was on tackling common challenges and accelerating the safe implementation of AI, emphasising collaboration between the UK and Norway.
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Exclusive Discussions on The Guild’s Twin Transition Insight Paper at the Norwegian Embassy in the UK Apr. 9, 2024 4:27 PM
On March 20 th, 2024, in collaboration with King’s College London and the Norwegian Embassy in the UK, the University of Oslo organised an exclusive discussion of The Guild's Insight Paper The Twin Transition Century: The role of digital research for a successful green transition of society .
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Strengthening dScience team with new External Engagement Adviser Feb. 27, 2024 3:11 PM
We are delighted to announce that Birte Hansen has joined the dScience Partner Program Team as our new External Engagement Adviser. Welcome aboard!
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Viewpoint: The digital and green transitions are not parallel processes but transformations that affect each other deeply Feb. 26, 2024 11:35 AM
The ongoing and comprehensive digital transition of society can and must contribute towards the green transition, and the digital transition must also become greener, says Morten Dæhlen, leader of dScience - Centre for Computational and Data Science, at University of Oslo.
Other relevant events
NORA events
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Destination Earth Info Meeting May 14, 2024 10:00 AM
Norwegian Space Agency, Norwegian Digitalisation Agency, Norwegian Research Council and Innovation Norway welcomes you to an info meeting about Destination Earth (DestinE).
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DigitalHelse2024 May 29, 2024 8:30 AM
DigitalHelse2024 is a meeting platform for healthcare and social services, businesses, researchers, users, and decision-makers to explore solutions, learn, and inspire. (In Norwegian)
Digital Life Norway events
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Trondheim meet-up - Navigating Academic Life - Event 4 May 21, 2024 5:00 PM
An academic career allows focusing on new scientific challenges and questions, to dive deep into the undiscovered aspects of nature, all while being surrounded by an environment and people sharing a dedication for excellence. This is inspiring, but early career academics also have many more challenges than other career paths, many of which go beyond the research subject one was prepared for. For example, projects are mired with delays; misunderstandings and miscommunications with supervisors and colleagues; managing emotions after a never-ending series of failed experiments and uncomfortable confrontations with professors etc…. The academic life can also be intoxicating, keeping one so focused on their research field that it leaves them unaware and incapable to adapt when they career paths leads them outside academia. All of this can be overwhelming, and many PhD and Postdoc finds themselves lost and uncomfortable, unaware of how to navigate the many.
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AI for scientific writing May 22, 2024 10:00 AM
As technology continues to advance, AI's role in scientific writing is poised to expand further, facilitating collaboration, knowledge dissemination, and ultimately advancing the pace of scientific discovery. Embracing AI in scientific writing not only streamlines workflows but also holds the promise of fostering a more collaborative and interconnected global scientific community.
Integreat events
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Deep learning for sequence based gene expression prediction May 23, 2024 2:30 PM
Biostatistical seminar with Ksenia Sokolova, Department of Computer Science, Princeton University, USA.
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Integreat Tuesday seminar: Eric Laber May 28, 2024 2:15 PM
Reinforcement learning for respondent-driven sampling
What is Computational Science and Data Science?
Computational science is about the development of methods and algorithms to solve and understand complex phenomena and problems. Data science is about the development of methods, algorithms and systems to organize, refine and extract knowledge from data. dScience merges computational science and data science.
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