Reprex | Green Deal Data Observatory

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

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

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

Please Choose Reprex in The Hague Innovators Award Online Vote

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

Table of Contents

🇭🇺 magyarul

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!

Learn R with Reprex

Fri, 07 Oct 2022 12:35:00 +0200

Big Data Creates Inequalities

Only the largest corporations, best-endowed universities, and rich governments can afford data collection and processing capacities that are large enough to harness the advantages of AI.

Fullscreen: F

Next: ️> or Space | Previous :️<
Start: Home | Finish: End
Overview: Esc| Speaker notes: S
Zoom: Alt + Click 🖱️

Big data that works for all

No matter how big is the problem or how small is your team, `Reprex` fill your reports, dashboards, newsletters, books with data and its visualization.
Learn R with us: you can reduce the inequalities by joining the open source movement, learning to run open source software, ask for help, improve the tutorials, the documentation, and eventually learn to make the computer work for you.
Contributor Covenant: Participating in open source is often a highly collaborative experience. We’re encouraged to create in public view, and we’re incentivized to welcome contributions of all kinds from people around the world. This makes the practice of open source as much social as it is technical.

Get Inspired

Find more interesting and better data: you don’t have to be a data scientist or write code to contribute to our projects.
Data feminism: Catherine D’Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Highly inspirational, free, open-source book.
RLadies is a world-wide organization to promote gender diversity in the R community.

Contributor Covenant

We as members, contributors, and leaders pledge to make participation in our community a harassment-free experience for everyone, regardless of age, body size, visible or invisible disability, ethnicity, sex characteristics, gender identity and expression, level of experience, education, socio-economic status, nationality, personal appearance, race, caste, color, religion, or sexual identity and orientation.
We pledge to act and interact in ways that contribute to an open, welcoming, diverse, inclusive, and healthy community.

Run code from tutorials

retroharmonize.dataobservatory.eu
🖱 Get started
🖱️ Articles

Find help, ask for help: reprex

Documentation for better tutorials

Debugging and testing code

Contribute to documentation

R is a functional language

R is both a statistical environment and a programming language
R, the open source and further developed version of the S language, is mainly functional
If you did a task at least twice, the 3rd time you better write a function script to keep doing it forever.
Most of your effort will be to find a well-written function for your work
If you cannot find a function, you will modify somebody else’s function, or eventually write your own

R + YAML + markdown = web ready

Learn YAML in Y minutes: tell the computer what you want to do with a document
R Markdown basics: it is just a plain markdown that allows you to insert little R program ‘chunks’.
Awesome markdown editors and pre-writers: find a convenient tool
Google Docs to markdown: practice by translating your Google Docs text to markdown. It is very easy.

Package and release: a team effort

Our open source development projects

🔢 dataset: Synchronize datasets with global knowledge hubs #️⃣ statcodelists: Make your data codes understood globally ♻️ iotables: Create economic or environmental impact assessments in any EU country 🌍 regions: Create from raw survey data more granular statistics in any EU country ✅ retroharmonize: Harmonize questions banks, recycle answers from past surveys ⏭️ all in on one page

Create with us

Questions?

Email | Keybase

LinkedIn: Daniel Antal - Reprex | Home

Reprex | Green Deal Data Observatory

Big Data for All: Building Collaborative Data Observatories

The event invitation text and links

In the Q&A, we can discuss many things

Check out our projects

Reprex: the impact startup

Big Data for All: Building Collaborative Data Observatories

The event invitation text and links

In the Q&A, we can discuss many things

Check out our projects

Reprex: the impact startup

Please Choose Reprex in The Hague Innovators Award Online Vote

How to vote?

How to share the word?

Why vote for us?

Get in touch

Learn R with Reprex

Big Data Creates Inequalities

Slide navigation

Big data that works for all

Get Inspired

Contributor Covenant

Run code from tutorials

Find help, ask for help: reprex

Documentation for better tutorials

Debugging and testing code

Contribute to documentation

R is a functional language

R + YAML + markdown = web ready

Package and release: a team effort

Our open source development projects

Create with us

Questions?