music

How We Add Value to Public Data With Better Curation And Documentation?

Many people ask if we can really add value to free data that can be downloaded from the Internet by anybody. We do not only work with easy-to-download data, but we know that free, public data usually requires a lot of work to become really valuable. To start with, it is not always easy to find.

How We Add Value to Public Data With Imputation and Forecasting?

Public data sources are often plagued by missing values. Naively you may think that you can ignore them, but think twice: in most cases, missing data in a table is not missing information, just malformatted information which will destroy your beautiful visualization or stop your application from working. In this example we show how we increase the usable subset of a public dataset by 66.7%, which is a deal-breaker in panel regressions or machine learning (AI) solutions.

The Digital Music Observatory on LineCheck

We are looking for partners for the Horizon Europe call Towards a competitive, fair and sustainable European music ecosystem.

Digital Music Observatory on MaMA 2021

Invitation for Digital Music Observatory

Music Creators' Earning Project

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.

Music Creators' Earning Project

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.

Launching Our Demo Music Observatory

We would like to validate our open source, open data, open collaboration based reproducible observatory concept with the Demo Music Observatory. All feedback is welcome.

Granting And Policy Evaluation For Musicians In Hungary

The data and intelligence of CEEMID was used in Hungary to create an ex ante evaluation of the new Cseh Tamás Program to support popular music development in Hungary. Our mandate was to create concrete granting proposals that have a high chance of making a change in terms of the later royalty earning capabilities of artists.

Streaming Economics: where are we really going?

Panel Discussion