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Innerglow is a trio band from Bulgaria playing alternative music. Apart from the electronic sound, they do acoustic concerts, with a growing international audience from sometimes surprising locations and a planned European tour.

Paulius Večera is a music producer and multi-instrumentalist based in Vilnius, Lithuania. Besides a solo project under the name of Vecera, he also creates and performs with Avis Rara, a jazztronica band, and is a core member of the electronic duo Fryzbye. He also is a talented hairstylist and owns his own brand Visai Nieko Haircut.

Mari and Johannes are members of the Estonian folktronica band OOPUS. They curate a folktronica showcase stage at the Tallinn Music Week. How do you find audience for something that is neither folk nor electronica?

Kuba and Sebastiaan are both members of the Wrocław-based post-punk band ‘Kurws’. On 26 October 2022, they start a tour with concerts planned in Germany, the Netherlands, Belgium, France and Czechia.

An open invitation for a collaboration to help the Slovak government, the natonal assembly, and various civil and business societies to build and monitor evidence-based policies based on the experience of the music sector.

Bookie Baker are a Canadian-Irish contemporary folk duo based in Prague, Czech Republic.

Reprex is presenting its Digital Music Observatory and Cultural Creative Sectors Industries Data Observatory as platforms for developing and evaluating trustworthy AI in the cultural domains. We hope to find new partners within the NLAIC community to join our open, collaborative projects.

Marie de la Montagne is a performing musician and a music publisher. She currently lives in Prague.

After a very thorough modernization of the package’s exception handling, documentation, and code dependencies that I did in the last week, the spotifyr package has passed again the peer-review standards and it is back on CRAN. The package is an excellent starting to point for R newbies to try their hands on musicology analysis with a few keystrokes. And of course, it is an essential part of the research infrastructure of musicology worldwide in far more advanced applications.

We do care what our children learn, but we do not care yet about what our robots learn from. One key idea behind trustworthy AI is that you verify what data sources your machine learning algorithms can learn from. As we have emphasised in our forthcoming academic paper and in our experiments, one key problem that goes wrong when you see too few small country artists, or too few womxn in the charts is that the big tech recommendation systems and other autonomous systems are learning from historically biased or patchy data.