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dScience Partner Program
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DSTrain Programme
dScience events
How can ethical principles keep pace with rapidly evolving AI in healthcare? In this seminar, PhD researcher Jonathan Adams presents structured methods that combine philosophical foundations with practical tools to guide ethical AI development.
Join us for our weekly lunch seminar in the dScience lounge.
Do you work with sustainability? This seminar is a unique opportunity for you to connect with other researchers at the university.
Do you work with sustainability? This seminar is a unique opportunity for you to connect with other researchers at the university.
News
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Networking and Knowledge Sharing at the DSTrain Workshop Mar. 27, 2025 8:00 AM
On March 17–18, the DSTrain Workshop gathered postdoctoral researchers and invited speakers at Thon Hotel Opera in Oslo for two days focused on open science, data sharing, and interdisciplinary research.
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Equinor Hosts dScience Partner Program Workshop on AI and Time Series Anomaly Detection Mar. 26, 2025 7:59 AM
FORNEBU, March 12, 2025 – Leading experts from Equinor and the University of Oslo gathered at Equinor’s headquarters for a focused seminar on artificial intelligence and time series anomaly detection. The event, part of the dScience Partner Program’s Thematic Working Groups (TWG) initiative, brought together researchers and industry practitioners to exchange knowledge, explore technological advances, and identify potential areas for collaboration.
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Improving Research with Data Science at UiO Mar. 24, 2025 3:35 PM
As data-driven research reshapes scientific discovery, the Data Science Analytics Group (dSAG) at dScience, University of Oslo (UiO), serves as a vital link between data science and research within numerous sciences across the university.
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Discussions on AI, Chatbots, and Democracy Mar. 14, 2025 10:25 AM
March 13, 2025 – Science Library, University of Oslo
AI, language models, and democracy were the focus of today’s dScience Lunch Seminar, where presentations and discussions explored how we communicate with AI and its societal impact. A full recording of the event is now available.
Other relevant events
NORA events
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Norway - UK Collaboration on Dementia and AI? Apr. 10, 2025 2:00 PM
Welcome to a webinar on how AI can be used in the work with dementia, using examples like the AI-Mind platform (Artifical Intelligence for Dementia Prevention) and the DPUK (Dementias Platform UK) Data Portal.
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AI in Biomedical Data- Industry Seminar: Bridging Innovation & Opportunity May 7, 2025 9:00 AM
Join us for an exciting half-day seminar bringing together industry leaders, startups, talented professionals and trainers in the field of biomedical data analysis coming from Norway, and wider Europe.
Digital Life Norway events
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Writing up your PhD Apr. 10, 2025 10:00 AM
This is a one-day workshop specifically for students in the final stages of writing up a doctoral thesis, and will cover topics important to finishing off a thesis.
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Visual Literacy: Design Principles for Scientists Apr. 24, 2025 9:00 AM
This course teaches scientists visual literacy and the basic design principles required to excel at creating impactful scientific visuals that inform, engage & inspire.
Integreat events
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Integreat Tuesday seminar: Willem Waegeman Apr. 29, 2025 2:15 PMMaking AI systems more trustworthy through uncertainty disentanglementThis seminar is part of the seminar series on the thematic focus of uncertainty quantification (Objective 4: Machine learning with quantified uncertainty).
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Critical perspectives on generative AI for academia May 8, 2025 10:00 AM
This workshop brings together scholars from diverse disciplines to discuss fundamental issues around the implementation and use of large generative language models in academia. Registration
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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