Date: 2nd of September 2026

Time: 17.00 - 19.30

Venue: Kirkegaa 24, KAU-B1-02

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Beyond Feature Importance: Explainable Time Series Forecasting using Knowledge Graphs and Attention

Program:

17.00: Refreshments

17.30: Semester Kick-off of Kristiania AI center activities, by Synne T. Bull, co-director of KAI  and rector Solfrid Lind

17.35-18.20: Speaker: Simon Schramm (BMW, Germany)

18.20-18.30: Q&A, Pedro Lind, professor, Kristiania

18.30–19.30: Join us for snacks and drinks! This is an excellent opportunity to network with colleagues, partners, and professionals across fields, and explore future collaboration around AI innovation and ethics.

Bio:
Simon Schramm is a Data Scientist within Corporate Strategy at the BMW Group, leading technical and research initiatives at BMW involving knowledge-graph-based scenario modelling, MLOps infrastructures, and strategic market forecasting. His research focuses on explainable AI, knowledge graphs, neurosymbolic AI, and interactive machine learning, with a particular emphasis on explainable time-series forecasting. He is also a PhD candidate in Applied Computer Science at the University of Bamberg and Alongside his academic work. With an interdisciplinary background spanning machine learning, stochastic engineering, statistics, and economics, his work combines cutting-edge AI methodologies with real-world industrial applications and decision-making.