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Monday started off the summer school with a keynote speech by guest speaker Prof. Arvid Lundervold, chaired by center leader Helwig Hauser from CEDAS. Later, Associate Professor Hauke Bartsch gave a talk on the DIY (do it yourself) part of data science, where the participants are able to take part of the applications discussed.

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Tuesday was first reserved for the statistics team, with instructors Stein Andreas Bethuelsen, Professor Iain George Johnston and Professor Mattias Villani from the University of Stockholm, giving talks on the applications of statistics through Bayesian learning and decision making. The participants could then choose between two DIY sessions. With Professor Reza Arghandeh from Western Norway University of Applied Sciences on the statistics team, or instructor Hauke Bartsch from the University of Bergen, on the data science 101 team. The rest of the day became open to social activities, such as board games and hikes.

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Wednesday started with talk on machine learning, by CEDAS's own co-leader Pekka Parviainen, and guest speaker Vaneeda Allken, from the Institute of Marine Research. She discussed how to bridge the gap between theoretical and practical AI, and its usage in trawl surveys in the fishing industry. After lunch, participants could join either of our instructors, Pekka Parviainen and Muhammad Ammar Malik on DIY Machine Learning, or DIY Statistics with instructors Yushu Li, Stein Andreas Bethuelsen and Iain Johnston.

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Thursday started with two talks on visual data science by Professor Cagatay Turkay and Professor Jan ByÅ¡ka, with later options to do either DIY machine learning with Pekka Parvianinen and Muhammad Ammar Malik, or DIY Visual Data Science with Cagatay Turkay. Thursday was capped off with a lovely three-course dinner at the Zander K Hotel.

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Friday closed off the summer school with another talk by Prof. Cagatay Turkay on visual data science. And later with closing remarks by center leader Helwig Hauser from CEDAS, and center leader Susanna Röblitz from NORBIS. We then gathered for a group photo outside. We were very satisfied with how the summer school came together, with much participation in all parts of the "do it yourself" research, social activities, and constructive talks during the lunch and dinner breaks. We would like to thank our many speakers and guests who made this summer school possible. We would like to thank NORBIS for collaborating with us to further enable more cross-faculty cooperation. And of course, we want to thank our sponsors: The Department of Informatics, and the Department of Mathematics.

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Guest speakers and instructors:

• Arvid Lundervold: AI and predictive modelling y ≈ f(X,θ) in medicine and biology
• Stein Andreas Bethuelsen: Markov chains and applications to data science
• Iain Johnston: How model selection can turn maths into science
• Mattias Villani: An Introduction to Bayesian Learning for Uncertainty Quantification and Decision Making
• Vaneeda Allken: Bridging the gap between theory and practice AI
• ÇaÄŸatay Turkay: Doing Visual Data Science — Foundations, Techniques and Practice
• Reza Arghandeh
• Hauke Bartsch
• Pekka Parviainen
• Muhammad Ammar Malik
• Yushu Li
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