dScience events

How can machines and humans learn together to improve rehabilitation outcomes? In this seminar, Associate Professor Ulysse C?té-Allard will present cutting-edge research on the use of wearable biosensors and machine learning to create adaptive, intuitive control systems for rehabilitation technologies. Learn how co-learning and self-learning approaches enable these systems to respond dynamically to muscle activity, paving the way for more personalized and effective human-computer interaction in assistive technology.

Join us at the dScience Lunch Seminar where Andreas Carlson, Professor at the Department of Mathematics, will present how fiber geometry can be used to control droplet flow. He will discuss how droplets move on fibers, the flow regimes on twisted fibers, and how these insights can be applied to improve water harvesting with fog nets.

Do you work with sustainability? This seminar is a unique opportunity for you to connect with other researchers at the university.

The PhD special event highlights a diverse spectrum of research topics, ranging from statistical methods for change detection and methane emission analysis using drones, to the role of electric vehicles in renewable energy integration, trustworthy AI through explainability and fairness, and advances in data-constrained language modeling.

Join us at the Science Library on May 8, 2025, from 12:00 PM to 1:15 PM.

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 at the Science Library on April 3, where theoretical physicist Morten Hjorth-Jensen explores how Quantum Technology and Artificial Intelligence are shaping the world of tomorrow. Learn how these powerful tools intersect, what they mean for science and society, and where the frontier of innovation is headed.

Discover the Tsetlin Machine, an AI method that learns logical, human-understandable rules while matching neural networks in performance. Led by Prof. Ole-Christoffer Granmo, this seminar covers its fundamentals, applications, and recent advancements.

Open to students and researchers. Free event sponsored by Norwegian AI Cloud (NAIC). Register now!

How can we make sense of messy, limited data in the search for better cancer treatments? In this week’s dScience Lunch Seminar, Professor Manuela Zucknick presents a powerful probabilistic modeling approach that tackles the challenges of small, noisy datasets in high-throughput drug combination screens—paving the way for more precise and reliable predictions in oncology.

How can we integrate complex models with real-world data under uncertainty? At this week’s dScience Lunch Seminar, Berent ?nund Str?mnes Lunde from Equinor will discuss ensemble-based data assimilation, a method used in fields like weather forecasting and subsurface modeling. He will introduce the Ensemble Information Filter (EnIF), an approach that improves statistical efficiency, removes ad-hoc localization, and addresses key challenges in large-scale systems. Join us for a discussion on the future of data assimilation and its applications.

DSTrain Workshop at Thon Hotel Opera, Oslo. The workshop covers key transferable skills, including open science and data sharing strategies and how to conduct interdisciplinary research. With expert talks, postdoctoral presentations, and discussions.

Invitation-only workshop. 

How do we communicate with chatbots, and how does artificial intelligence influence democracy? Join us at the dScience Lunch Seminar at the Science Library for a discussion on these pressing questions. Linguists Ingrid Lossius Falkum and Nicholas Allott will explore how humans perceive and interact with AI-powered language models, while political scientist Rune Karlsen will present research from the KnowAI project, investigating AI’s role in shaping political knowledge, public opinion, and democratic processes. 

Equinor invites dScience Partner Program members to a closed Thematic Working Group (TWG) workshop on AI/ML for anomaly detection in time series. Partners will share insights from key projects, discuss common challenges, and explore solutions for the future. The goal is to foster collaboration and identify potential joint research initiatives.

Invitation-only workshop.

Join us in the dScience Lounge for a talk by ?gnes Király on the anisotropic mechanical behavior of rocks—how their textures influence deformation from the Earth’s crust to its core.

Seismic anisotropy is often discussed, but what about viscous anisotropy? ?gnes will explain how rock textures shape both elastic and viscous behaviour and discuss modeling techniques.

Join us for our weekly lunch seminar with ?ystein S?rensen. Learn how intensive longitudinal data from apps and wearables can reveal complex patterns in psychological research. ?ystein S?rensen will present a method to improve dynamic structural equation models (DSEMs) using regression splines, making them more flexible and accurate. He will also discuss the benefits of using Stan and key challenges in analysing such data.

Join us for this week’s dScience Lunch Seminar with Krubeal Danieli as he explores how bio-inspired AI enables flexible navigation. His research, drawing on neuroscience, models how the brain forms internal maps in real time, allowing agents to explore and navigate without extensive training. This talk bridges the gap between neuroscience and AI. Complimentary lunch included!

Technology Outlook: The Future of AI and Robotics in Healthcare.

As artificial intelligence and robotics continue to advance, their role in healthcare is becoming increasingly significant. At the Norway Life Science Conference 2025, dScience is organising a parallel session that explores how these technologies are reshaping the health sector. Leading experts will present key developments, challenges, and opportunities, offering insights into what the future holds.

Welcome to the kick-off meeting of the research network DART: Digital Arctic Twins, funded by the University of the Arctic.

Join us at the Science Library on February 6, 2025, from 12:00 PM to 1:15 PM, for a talk on Environmental Digital Twins. Professor Einar Broch Johnsen from the University of Oslo will explore how digital replicas of natural systems, such as the Oslo fjord, can transform environmental management through live data, simulation, and semantic technology. Good opportunity to learn about cutting-edge applications of digital twin technology!

Programming with Python is essential in many fields, but navigating packages, environments, and Integrated Development Environments (IDEs) can be challenging. This workshop is designed for those starting with Python or struggling with these aspects. It simplifies the process, providing practical guidance and hands-on activities to help participants confidently manage their Python setup and workflow.

Join us for a workshop hosted by the dScience Partner Program and DNV, where we delve into the critical role of industry collaboration in achieving a successful Twin Transition. This workshop will focus on the integration of digital transformation and sustainability—emphasising on how artificial intelligence (AI), can be harnessed to address pressing industrial challenges while advancing sustainability goals.

Through expert talks, interactive group work, and collaborative discussions, we will explore the opportunities and risks associated with AI in industry and discuss how to ensure trust and accountability in AI-enabled systems.