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dScience has four focus areas:

  • Community Services
    • Facilitating collaboration across disciplines, industrial and public sectors. Creating and maintaining meeting places and networks for students, researchers, and partners.
  • dScience Partner Program
    • Connecting UiO's computational and data science research with industry and public sector needs through partnerships with leading organisations in Norway.
  • Data Science Analytics Group
    • Accelerating data science integration in research projects through data management, HPC, AI and interactive data analysis.
  • Research and Projects
    • Crucial initiator and key supporter for project applications and project development at the University of Oslo. Hosts, coordinates and facilitates several large projects.

dScience Partner Program

Members of the partner program

Research activities & projects

Link to dScience research activities

DSTrain Programme

DSTrain programme

dScience events

12:00 PM, The Science Library

Landmines and unexploded bombs make huge areas of former war zones too dangerous to use, and clearing them is slow and risky. Join us in the Science Library where Associate Professor Tønnes Nygaard will talk about how humanitarian demining works today, and how robots and AI could make it faster and safer.

11:30 AM, dScience Lounge

Welcome to this week's lunch seminar in the dScience lounge with Iver Oknes.

8:55 AM, Georg Sverdrups hus

Digital Scholarship Days is an annual event designed for anyone working with research who wants to expand their knowledge of digital methods and tools, generative AI, machine learning, open research, research data management, and much more!

9:00 AM, UiO, Blindern, Georg Sverdrups Hus, Læringsoasen

Are you curious about how ChatGPT and other large language models work? This course will give an introduction to AI and Large Language Models (LLMs) like ChatGPT, Gemini Notebook and Gemini

 

 

News

 

 

Other relevant events

NORA events

  • Uncertainty Quantification in AI and Machine Learning Nov. 11, 2026 9:00 AM

    When a machine learning model makes a prediction, a natural question is how much that prediction can be trusted. Uncertainty quantification is concerned with answering exactly that, and it comes up across most areas of AI, from computer vision and natural language processing to robotics and climate modelling.

  • AI in Marketing - Navigating blue and red oceans Nov. 20, 2026 1:00 PM

    Welcome to a panel webinar on artificial intelligence and marketing, hosted by the NORA-HS student council. Three Professors from the University of Agder (Norway), the University of Turin (Italy), and the Stockholm School of Economics (Sweden) will join us to discuss what happens when AI is used in marketing practices and tactics.

Integreat events

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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