Posts

We Are Looking for Partners in France

We are looking for partners in France for our Digital Music Observatory. You can find us in Le Trianon on the Pigalle, in the JUMP Corner.

Music Creators’ Earnings in the Streaming Era

Our Digital Music Observatory contributed to the Music Creators’ Earnings in the Streaming Era project with understanding the level of justified and unjustified differences in rightsholder earnings, and putting them into a broader music economy context. The entire research paper is published by the UK Intellectual Property office, and we made the details of our analysis available in a joint publication.

'I lived in the mountains for six years, and I loved it because it was a place where you needed to rely on yourself to survive.'

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

The Data Sisyphus

Sisyphus was punished by being forced to roll an immense boulder up a hill only for it to roll down every time it neared the top, repeating this action for eternity. When was a file downloaded from the internet? What happened with it sense? Are their updates? Did the bibliographical reference was made for quotations? Missing values imputed? Currency translated? Who knows about it – who created a dataset, who contributed to it? Which is the final, checked, approved by a senior manager?

Open Data - The New Gold Without the Rush

If open data is the new gold, why even those who release fail to reuse it? We created an open collaboration of data curators and open-source developers to dig into novel open data sources and/or increase the usability of existing ones. We transform reproducible research software into research- as-service.

Music Creators’ Earnings in the Streaming Era

Our Digital Music Observatory contributes to the Music Creators’ Earnings in the Streaming Era project with understanding the level of justified and unjustified differences in rightsholder earnings, and putting them into a broader music economy context.

New spotifyr R Package Release

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.

Trustworthy AI: Check Where the Machine Learning Algorithm is Learning From

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.

Reprex is Contesting all Three Challenges of the EU Datathon 2021 Prize

Reprex, a Dutch start-up enterprise formed to utilize open source software and open data in open collaboration with its partners is contesting all three challenges of the EU Datathon 2021 Prizes.

Recommendation Systems: What can Go Wrong with the Algorithm?

In complex systems there are hardly ever singular causes that explain undesired outcomes; in the case of algorithmic bias in music streaming, there is no single bullet that eliminates women from charts or makes Slovak or Estonian language content less valuable than that in English.

Upgrading the Slovak Music Database: New Data API, New Features

We use the database to monitor market developments in streaming and radio services, and to detect any problems that may lead to a disadvantageous position for Slovak artists. We are constantly monitoring if Slovak artists, regardless of their age, genre, gender, or ethnicity enjoy equal opportunity on streaming and radio platforms, and we are devising ways to increase their visibility and earnings.

Working With Localities and Location Tags

The second post in this series presents two use cases focused on localities and location tags (signifying cities, countries and sometimes nationalities). Such tags help putting local music scenes on the map; in the case of particularly prolific or creative cities they can be connected to specific genres too. Most commonly, they identify the city or country where the music label or the artist is based.