With about 100 participants, this summer school sometimes felt like a conference – in a good way. There were plenty of opportunities to exchange ideas with and get inspired by people from diverse backgrounds. This was one of the aspects I really appreciated. Regarding the sessions and workshops, I enjoyed the introduction to (Geo-) Julia by Marteen Pronk. I think it is always good to look beyond the personally known tools and programming languages. One highlight of the mobility topics was the session by Anita Graser on “Data engineering for Mobility Data Science”. I learned several shortcuts and tricks for everyday tasks, but the most important takeaway was about the use of Data Version Control (DVC). At the Mobility Lab we commonly use a git-based workflow for code versioning. However, applying such concepts to data versioning bears great potential that we did not explore so far. This is definitely something to integrate into our workflows in the future. Also highly relevant from the mobility perspective was the session by Robin Lovelace “Processing large OpenStreetMap datasets for geocomputational research”. For me it was the first time to meet Robin in person and it was great to follow up on several aspects of the workshop and to discuss our approach to bikeabiltiy and walkability assessment with NetAScore.
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