Reprex | Antal Dániel honlapja

Brace for Impact: Trustworthy AI for Good

Thu, 30 Oct 2025 14:15:00 +0000

At ImpactFest 2025, Reprex joined the expert session “Brace for Impact: Trustworthy AI for Good.”
The discussion explored how knowledge graphs and open, interoperable data can empower AI and data-driven applications that serve both public good and private innovation.
This continues our long-term collaboration with ImpactFest, where Reprex won the Audience Prize in 2022.

Key Idea

Data is only as powerful as it is trustworthy. Reprex promotes the use of knowledge graphs to connect open and proprietary data in transparent, reproducible ways that benefit both business and society.

Next Steps

Develop responsible AI applications built on shared, standards-based data.
Expand partnerships with European innovators in open and trustworthy data ecosystems.

Big Data for All: Building Collaborative Data Observatories

Thu, 03 Nov 2022 17:30:00 +0000

Reprex’s co-founder, Daniel Antal talked in the Eindhoven Innovation Café about these issues. You can watch the recorded version of the the livestream that starts at 5 minutes and 22 seconds:

This is a past event. Check out our forthcoming events or write to Daniel Antal or to antaldaniel. Or send an email.

The event invitation text and links

Big data and AI creates inequalities. It puts historically marginalized people, like ethnic minorities, and womxn, at a disadvantage. Because AI and checking on AI require plenty of data, usually only giant corporations, the wealthiest governments, and university entities can make it work for them. Reprex is a Hague-based, international startup that wants to impact various sustainable development goals by enabling smaller organizations to join their smaller datasets, use open data, create linked available data, and collaboratively make a change.

Reprex is a finalist for the Hague Innovation Award for impact startup (please 🙏, vote for us!). Daniel Antal, one of the co-founders, will talk about their approach to building an international coalition of music organizations to pool data and challenge data monopolies using organizational techniques, a collaboration ethos, and data from the open-source developer world.

Using the example of independent music creators, who often find themselves in a position where it is more expensive to claim their money from global platforms, he will talk about how to reduce inequalities in the world of big data and AI with collaboration on web 3.0. In the Q&A he will take questions on how to apply their know-how, and generally linked open data to other art+tech or creative segments or problems for which everybody is too small, like meeting the Paris Accord greenhouse gas targets bit by bit, small company by small company.

In the Q&A, we can discuss many things

How can Reprex help an individual creator in music, or in fashion and design, or any other area?
What sort of help it can give to researchers, research institutes, specialist consultancies, law firms, and other knowledge-based actors?

What sort of partners is Reprex looking for in Eindhoven?

Check out our projects

Digital Music Observatory and Listen Local
Cultural & Creative Sectors and Industries Observatory and short call for potential partners.
Green Deal Data Observatory and simple, connected, financial and sustainability reporting for creative enterprises and others

Reprex: the impact startup

Check out our accomplishments since the foundation in 2020

Daniel Antal (Reprex) EHV Innovation Café Breakout

Thu, 03 Nov 2022 16:00:00 +0000

Slide Controls

Next: > or Space | Previous: <

Start: Home | Finish: End

Overview: Esc | Fullscreen: F

Zoom: Alt + Click

20,000,000 SMEs and countless NGOs without data engineers

Further information

Read more: Digital Music Observatory | Listen Local
Longer feasibility study: Feasibility Study On Promoting Slovak Music In Slovakia & Abroad
Scientific version: Ensuring the Visibility and Accessibility of European Creative Content on the World Market

Questions?

Get in Touch: Gabija Liaugminaitė | Daniel Antal

Listen Local Nederland Meetup in Utrecht

Wed, 26 Oct 2022 16:17:00 +0200

We will carry out the research outlined in our feasibility study within the [OpenMuse] project from 1 January 2023 in an open collaboration with cultural policymakers, the local music ecosystem, and open source developers. Our partner, MXF tries to put the findings into actionable data services in Lithuania and Ukraine with the help of MusicAire. We develop open tools that can be applied in Utrecht, the Hague, Budapest, Tallinn, Vilnius, Bratislava, or anywhere.

Our ongoing project since 2014 is Listen Local. We would like to find out how can a local music ecosystem, or a small scene avoid being colonized by global players on streaming platforms, radio, or in-store music. How can we make sure that music recommendations connect bands in Utrecht with fans in Utrecht? If a Polish band is visiting Utrecht, music lovers will find their show?

We are arriving at opening to Klein Berlijn at 17.00 where you can sit down with a coffee or a beer to chat. No reservation needed. At 19.30 we are getting on our OV fiets and cycle over to the Vechtclub where we will meet people of the local indie scene, Tiny Rooms, and see two independent bands on stage.

As the sales and promotion of recorded music get fully automated, and even the curation of music for live events gets more and more influenced by machine learning outcomes or social media metrics, how can a DIY label remain relevant? How you can run a small club or a label without having to invest in a multi-million euro data engineering team? Make sure that the algorithm will learn successfully your music offering.

‘I feel at home where people care’ Read Gabija’s interview and check out the band with us.

Reprex’s motto is big data for all. We want to fight data inequalities, data monopolies, and make big data and AI work for self-released artists or small labels, too.

Gabija and Daniel are visiting Utrecht to meet DIY musicians, labels, researchers, fans and friends to find new partners for our Listen Local projects. On an intellectual level, we are interested in trustworthy AI, data feminism, and providing a proper digital representation to music and live performances for all. On a more emotional level, we want to meet musicians and music lovers from the indie scene. (Check out our event page.)

We want to help independent artists to find their next audience, and fans to find their next favorite record or a truly fulfilling live music experience. Gabija had a conversation with The Kurws in our Listen Local Interviews series. She asked the band about where they are coming from, where they want to go? Where they are local? And what they have to offer to the people who will join us on 31 October 2022 in Utrecht?

Check out our projects

Digital Music Observatory and Listen Local
Cultural & Creative Sectors and Industries Observatory and short call for potential partners.
Make interviews, get interviewed, write blog posts, or syndicate our content to and from Data & Lyrics.
Don’t forget to vote for Reprex in the Hague Innovators Award competition 2022. The audience voting starts on 1 November 2022.
Download our submission for the competition.
Get in touch!

Product/Market Fit Validation in Yes!Delft

Fri, 25 Sep 2020 15:31:39 +0000

We would like to validate our product market/fit in two segments, business/policy research and scientific research, with a supporting role given to data journalism. Because we want to follow a bootstrapping strategy, we must focus on those clients where we find the highest value proposition, which is of course easier said than done. We see much interest in our offering from other continents, therefore we truly welcome the opportunity that we can do this on a truly global business canvas in one of the worlds’ top five incubators, the number 2 university-backed incubator in the world, second to none in Europe, in the Yes!Delft AI+Blockchain Validation Lab.

In Europe hundreds of thousands of microenterprises, such as record labels, video producers or book publishers are facing data and AI giants like Google’s YouTube, Apple Music, Spotify, Netflix or Amazon. If the recommendation engines of these giants do not recommend their songs, films or books, then their investments are doomed to fail, because about half of the global sales are driven by AI algorithms. When they make a claim for the missing money, they will immediately find themselves in a dispute with gigabytes of data that they can only handle with a data scientist, even though they do not even have an IT professional or an HR professional to make the hire.

An awful lot of money, creativity and real values are at stake, and we want to be on the creator’s side, their technician’s side, their manager’s side when they want to get a fair share from the pie and they want to help these industry leader to make the pie grow.

The UNESCO and the EU have been promoting as an organizational solution the fragmentation problem with the so-called data observatories that are pooling the business, policy, and scientific research needs of various domains, like music. This is an idea that we really like, and we believe that our research automation solutions can help these observatories to grow faster as ecosystems, create better quality and more timely data and research products and a far lower cost.

We define ourselves as a reproducible research company inspired by the philosophy of open collaboration, based on open-source software and open data. We want to explore various revenue models around these ideas.

We are not committed to open source licensing if more permissive licensing policies provide us with better opportunities.
We would like to explore various data-as-service models, because we do not want to be locked into the position of cheap open data vendors.
We want to deploy AI applications that really help earning money in these sectors with playlisting, recommendation engines, forecasting applications, or royalty valuations, because our open collaboration approach brings up enough data sooner to than its alternatives, because it manages inherent conflicts of interests, fragmentation, and decentralization better than hierarchical solutions.

Timeline

In January CEEMID reached its peak: we introduced a 12-country reproducible research project made with only freelancers in Brussels, presented as best use case of evidence-based policy design.
In February Daniel visited the Yes!Delft Co-Lab to find out who would be the best co-founder to re-launch CEEMID as an enterprise.
In April we started to release our data as open data for validation.
One month ago we started-up.
Then we launched the music.dataobservatory.eu project.
A few other data observatories.

Bonus:

Palato in the Hague, where we took our selfie and had an absolutely amazing dinner after the pitch. Check them out!

Starting-up

Mon, 24 Aug 2020 10:15:00 +0000

The big day has come: the co-founders singed off the documents at the public notary and started the registration of a reproducible research start-up in Leiden. We got a lot of support from our friends! Your encouragement gives us a lot of energy to accomplish our first milestones, and to get Reprex B.V. going!

Reprex means ‘reproducible example’ in data science. When you are stuck with a problem, creating a reproducible example allows other computer scientists, statisticians, programmers or data users to solve it. In 80% of the cases, you usually find the solution while creating a generalized example. In the 20% other cases, you can reach out for help easily.

In the coming days, we are launching demo versions of our headline products, data observatories. music.dataobservatory.eu will be a fully automated online service that every day collects, processes, cleans, and publishes scientifically valid data about European music. Very soon after we will launch two other observatories.

The creative and cultural sector, NGOs, most research institutions, data journalism teams are usually very small, and they do not have internal IT or data science capacities. We would like to provide them a transparent, high quality, and fully open source solution to acquire data, process it without errors, document it and make sense of it. We would like to embrace the idea of open collaboration among creative enterprises, scientific researchers, NGOs, data journalists and policymakers with our work.

Our work will comply with the Open Policy Analysis standards developed by the Berkeley Initiative for Transparency in the Social Sciences & Center for Effective Global Action and the four principles of reproducible research: reviewability, replicability, confirmability and auditability. We believe that these standards apply in reproducible finance, empirical evidence presentation in courts, or advocating sound policies and producing high-quality journalism.

Do you want to help our start?

We would like to enter into the Validation Lab of one of the best artificial intelligence incubators in early September. Talented team members, letters of intents and assignments from organizations will give a lot of credibility to our start Meet our team ».

Put as in contact with people who love to write code in R and interested in automating business and social science research and primary data collection such as surveying. Check out what sort of code we create »
Introduce us to people who need data and information to make better informed decision and analysis in music, film, book publishing, photography services or socially responsible finance.
Share contacts of data journalists who would like to develop stories from big survey programs like Eurobarometer, Afrobarometer and Lationbarometro, or base their storytelling on data and its visualizations. See our survey harmonization examples »

Do you know such people? Send over this post or connect us in an email or social media message!

Thanks again for your good wishes and encouragements, and hope to hear from you soon!