Botond Vitos | Green Deal Data Observatory

Please Choose Reprex in The Hague Innovators Award Online Vote

Sat, 29 Oct 2022 16:17:00 +0200

Table of Contents

How to vote?

Go to Cast your vote for The Hague Innovators challenge 2022!

Make sure you select Reprex and write in your email (it is safe here.) You need to tick `✅ I’m not a robot’ to be able to select companies.

Your vote is not final yet, you must click on a confirmation link to prove that it was you who voted. Go to your email. (Your email is only recorded to avoid double voting, they will not add your address to any marketing databases.)

Please make sure you chose Reprex and click on link to the confirmation your vote.

You receive a text that your code is recorded and you have nothing else to do. (Your address is safe with the municipality of The Hague.)

Thank you very much!

Please share our video message on YouTube among your colleagues and friends.

By pressing the ⚙️ and choosing subtitles you can choose your language. If you are there, please leave a 👍, too :)

The message is the message! We are an ethical data and AI company, and one of our topics is detecting if algorithms are biased towards the English language speakers. We want to teach the computer to understand small languages, and of course, everyone, who is under-represented in data: womxn, former colonial nations.

🇳🇱 🇬🇧 🇧🇦 🇨🇿 🇭🇺 🇩🇪 🇱🇹 🇫🇷 🇸🇰 🇪🇸 🇹🇷 + Catalan.

2 Retweet our appeal from one of our observatory Twitter accounts. For music audiences:

💜 We ask you, humbly, to support us with a vote or by sharing our appeal. We're part of the #opensource, #opendata, and #openscience movement that depends on your support to stay online and thriving, but many of our users or simply look the other way🤦🏻‍♀️https://t.co/Qcdh7saPpW
— Competition Data Observatory (@CompDataObs) November 6, 2022

The same message forgeneral cultural audiences: @CultDataObs; for music audiences: @DigitalMusicObs, for green audeinces @GreenDealObs

Like our LinkedIn page and share our appeal.
Or just send the link to this post from the browser your colleagues and friends.

Why vote for us?

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 are measuring why certain artists are not getting recommended and paid on global streaming platforms, or why NGOs do not find the right data about fighting greenwashing. We want to help small businesses, civil society organizations, and NGOs who cannot hire a data engineer and a data scientist to fight data monopolies. Who cannot defend themselves from the dark patterns of greedy algorithms?

Get in touch

Check out our events or write to Daniel Antal or to antaldaniel. Or send an email. Thank you!

Developing an Open API is the Right Direction

Mon, 07 Jun 2021 20:00:00 +0000

Botond Vitos, PhD is responsible for maintaing our API. He first started collaboration with our Digital Music Observatory and its trustwrothy AI project.

As data engineer, what type of data do you usually use in your projects?

Coming from a cultural studies background, my main research interest has been grassroots music scenes and festival cultures, which I hope to extend to my current projects as data engineer and as a data scientist. My prior research’s scope was mainly qualitative and focused on the inside views and stories of scene participants and stakeholders, which was invaluable in the understanding of specialized stylistic vocabularies. At the same time, I was interested in the “bigger picture,” which can be approximated through algorithmic approaches and data analysis. With both interests together, I shifted towards data science and engineering.

See our trustworthy AI-driven music export case study for Slovakia

I was recently involved with the development of a classification algorithm that detected stylistic directions within the music genres of electronic dance music labels found on Bandcamp. The Bandcamp Librarian project makes use of the genre taxonomy offered by the industry website Beatport, which is a very top-down approach on electronic dance music genres, often resisted by the artists themselves (many of the more niche subgenres don’t even appear on the Beatport site). Accordingly, the project defined genre clusters within each Bandcamp label, which show up as combinations of Beatport subgenres. Also, it indicated some of the folksonomies (bottom-up stylistic definitions and tags) propagated by the musicians themselves.

Screenshot of the first verison of the demo app.

In addition, working with Reprex, I became involved in the development of the Listen Local initiative. The system was aimed to protect the rights of small local artists by offering recommendation algorithms that prioritize local talent for consideration and enables the user to find local talent. The current playlist recommendations of streaming industry giants, such a,s Spotify prioritize big labels and big names, blocking access to the output of smaller, local musicians. Naturally, I looked at this project as a possible continuation of my previous work, and we are currently extending the scope of the Bandcamp Librarian to fit this initiative.

In an ideal data world, what would be the ultimate dataset or datasets that you would like to see in the Digital Music Observatory?

As my answer to the previous question suggests, my main concern is the development of a trustworthy AI framework. Acknowledging the national and cultural diversity of the European Union, it is essential to enable access to data that takes into account such diversities and the priorities of smaller stakeholders as well. This type of data needs to be comprehensive and well-maintained, and I believe that with curators’ priorities and the development of an easily accessible, open API, we are moving in the right direction.

Our API contains rich processing and descriptive metadata besides our high-quality indicators.

Join us

Join our open collaboration Green Deal Data Observatory team as a data curator, developer or business developer. More interested in antitrust, innovation policy or economic impact analysis? Try our Economy Data Observatory team! Or your interest lies more in data governance, trustworthy AI and other digital market problems? Check out our Digital Music Observatory team!

Data API

Tue, 01 Jun 2021 11:00:00 +0000

Our observatory has a new data API which allows access to our daily refreshing open data. You can access the API via api.economy.dataobservatory.eu (apologies for the ugly, temporary subdomain masking!).

All the data and the metadata are available as open data, without database use restrictions, under the ODbL license. However, the metadata contents are not finalized yet. We are currently working on a solution that applies the FAIR Guiding Principles for scientific data management and stewardship, and fulfills the mandatory requirements of the Dublic Core metadata standards and at the same time the mandatory requirements, and most of the recommended requirements of DataCite. These changes will be effective before 1 July 2021.

The Competition Data Observatory temporarily shares an API with the Economy Data Observatory, which serves as an incubator for similar economy-oriented reproducible research resources.

Indicator table

The indicator table contains the actual values, and the various estimated/imputed values of the indicator, clearly marking missing values, too.

api.economy.dataobservatory.eu: indicator retrieval

You can get the data in CSV or json format, or write SQL querries. (Tutorials in SQL, R, Python will be posted shortly.)

Description metadata table

Processing Metadata table

The metadata table contains various data processing information, such as the first and last actual observation of the indicator, the number of approximated, forecasted, backcasted values, last update at source and in our system, and so on.

api.economy.dataobservatory.eu: processing metadata

Authoritative Copies

Greendeal Data Observatory on Zenodo