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Reprex signed a Memorandum of Understanding with the Ministry of Culture of the Slovak Republic, the Economic University of Bratislava, SOZA, and Sinus (on behalf of the Open Music Europe) consortium on utilizing the Open Policy Analysis results.

In this case study, we will collect responses in English and Italian among music professionals and fans on LineCheck, and compare their answers with 10,000s of answers from their countries, from other occupational groups, and other countries.

Introducing the collaborative data observatories with the example of the music industry and sector.

We are finalists in The Hague Innovation Awards with a product offering and a message that big data and AI should work for all: ethnic minorities, small nations, small languages, womxn. We need your help to translate our message.

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.

Our Digital Music Observatory project spent a year in the JUMP Music Market Accelerator’s program. Over the course of 9 months, co-founder Daniel Antal could meet many stakeholders from almost all European countries, meet other new music technology startups and projects, and got mentoring and other professional help to further develop the project.

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.

Public data sources are often plagued with missng 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, but rather 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%, rendering useful what would otherwise have been a deal-breaker in panel regressions or machine learning applications.

Reprex’s co-founder, Daniel Antal and our Listen Local curator, Marie Zhorová participated in the MaMA Festival & Convention in Paris on 13-15 October within the JUMP Music Market Accelerator Program. We introduced our Digital Music Observatory to national music organizations and encouraged them to try out a cooperation with us.

rOpenGov, Reprex, and other open collaboration partners teamed up to build on our expertise of open source statistical software development further: we want to create a technologically and financially feasible data-as-service to put our reproducible research products into wider user for the business analyst, scientific researcher and evidence-based policy design communities. Our new release will help with automated economic impact and environmental impact analysis.