Green Deal Data Observatory | Daniel Antal

Reprex

Sun, 20 Nov 2022 15:42:00 +0100

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🌱 Eviota 🖱 click offers actionable insights into the supply chain of music businesses in the live, recording, and authors’ (copyright) stream.
🧾 We implement with Eviota the new reporting and accounting standards of EFRAG. We connect a reliable benchmark to every accounting item and make sure that your financial accounts contain your GHG footprint or even your contribution to equal pay for womxn. This will help you gain cheaper green loans, insurance, or green transition subsidies.


🎶 Surveyharmonies 🖱 click is our first experimental product that allows you to recycle surveys from all over Europe.
☑️ You ask questions about gender inequalities in many languages (try it EN IT and you get responses from your audience and more than 30,000 other people in various occupational groups all over Europe.
☿️ Join our pan-European gender inequality survey in January 2023.


♯ Listen Local is a 🖱 click trustworthy, ethical AI-powered system that aims to help great artists in small organizations and small countries using big data.
🎶 Our Listen Local Apps want to make sure that local ecosystems are not colonized by global platforms.

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.

Data problems


	The cost of questionnaire-based market research (survey) is increasing exponentially and offers mediocre results without an enormous question bank and harmonization with other surveys.(See 🖱 blogpost)
	Manual data acquisition is an error-prone and boring task for humans that requires many working hours (often not credited in consultancies, law firms, or research institutes.)
	Wrangling spreadsheet tables or word processor documents by people without data knowledge is the 🖱 data Sisyphus.

Data observatories 3.0

Reprex is offering shared data ecosystems. Our observatories are great solutions for organizations without a data specialization:


🌳 Organizations that cannot afford to build a large enough data team to sustain consistent, extensive data collection and processing (many large institutions and companies)
🪴 Who cannot hire even a single data engineer or a data scientist (medium-sized companies, NGOs)
🌱 Who do not even have a permanent IT function (about 2 million European small enterprises and civil society organizations)


	The European Union, the World Bank, OECD, and UN have facilitated the creation of more than 80 so-called ‘data observatories’ to help companies, researchers, NGOs, and governments systematically collect data and knowledge.
	We are currently building one prototype for the European Music Observatory financed by the European Union and music industry players (cc 3-4 million euros.) We would like to take over existing or start new observatories in 2 years at least 5)
	Our observatories are competitive, because they use high-quality open source scientific software; they exploit the new Data Governance Act and Open Data Directive, deploy web 3.0 data synchronization, and offer great value-added research products.

Platform products	Value added data applications
The European Union, the World Bank, OECD, and UN have facilitated the creation of more than 80 so-called ‘data observatories’ to help companies, researchers, NGOs, and governments systematically collect data and knowledge.	The different observatories offer different types of knowledge products, such as statistical yearbooks, various apps, and database access.
Most of them use web 1.0 technologies, inefficient knowledge accumulation. Already 20 of them have been discontinued.	We are developing software solutions that exploit our platforms: we harmonize surveys, statistical data, automate research reporting, elements of market monitoring or ESG reporting.
We are currently building one prototype for the European Music Observatory financed by the European Union and music industry players (cc 3-4 million euros.) We would like to take over existing or start new observatories in 2 years at least 5)	Each observatory gives us intimidate customer access to 3-4 large universities, 1-2 large consultancies, and various specialist institutions.

Team


	The two co-founders, 🖱 Daniel Antal, CFA and 🖱 Andrés García Molina, PhD, and the core team manage the ecosystems’ development, develop knowledge management, and direct the software development. 🖱 Team on full screen
	Each observatory has a broader team of users, data and knowledge curators, and developers. The most developed 🖱️ Digital Music Observatory has 16 institutional users and a team of about 20 music and data professionals. The newer observatories have a smaller, initial service development and data curatorial team.

Dutch AI Coalition


💻 Reprex is a member of the Dutch AI Coalition 🖱 click and we help building algorithms that work for all, small and large music organizations, non-profits and commercial ones.
♎ Reprex believes that unequal access to data, data know-how and tools creates inequalities in the benefits in AI.
🚀 Our Listen Local Apps 🖱 click want to make sure that local ecosystems are not colonized by global platforms.

Questions?

🖱 Click the blue links | email | keybase

Reprex: Daniel Antal | Gabija Liaugminaitė | Reprex—big data that works for all

Edibles: Maximilian Schupp | Ruymand Soltani | Edibles.eco—Edible & Biodegradable Tableware

Reprex

Sun, 20 Nov 2022 15:42:00 +0100

MTPA MeetUP

Antal Dániel, CFA - Reprex

2022. december 12.

reprex.nl/slides/reprex-mtpa-2022/

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Data observatory 3.0

A Reprex közös adat ökoszisztémákat kínál olyanok szervezeteknek, akik nem képesek adat specialistákat foglalkoztatni állandóan:


🌳 Olyan szervezetek, amelyek nem rendelkeznek adat szakértőkkel, és nem képesek hosszú távon adatgyűtjési programokat és adatfeldolgozást végezni.
🪴 Nem képesek adat mérnököket és adattudósokat, statisztikusat foglalkoztatni állandóan. (KKV, NGOk)
🌱 Nincsen állandó IT funkció a cégben (kb 20 million európai kisvállalkozás és civil szervezet)


	Az Európai Unió, a Világbank, az OECD és az ENSz több mint 80 úgynevezett ‘data observatory’ platformot, hogy segítse az érdekelt vállalatokat, kutatókat, NGO-kat, kormányzati szereplőket abban, hogy szisztematikusan gyűjtsenek adatokat és rendszerezzenek, osszanak meg tudást.
	Jelenleg a European Music Observatory prototípusán dolgozunk az Európai Bizottság támogatásával (cc 3-4 million euros.) Később hasonló obszervatóriumokat tervezünk más kreatív szektorokban is.
	Az obszervatóriumaink azért kompetitívek, mert magas minőségű, open source tudományos szoftverekre épülnkek, és kihasználják a Data Governance Act és az Open Data Directive előnyeit, valamint a web 3.0 technikai lehetőségeit.

Hogyan célszerű rendezvényekről gondolkodni?


🌱 Eviota 🖱 click Olyan adatbázisokat építenek-e, amelyek kihasználják az Open Data Directive és a Digital Data Governance (data altruism) előnyeit, és integrálják az adófizetők pénzén már összegyűjtött, vagy a felhasználók által adományozott adatokat?
🧾 Az adatbázisok manuális munka nélkül, számítógépek automatiálzt kommunikációjával szinkronizálhatók-e más adatbázisokkal (Linked Open Data, RDF, web 3.0 vagy szemantikus web)?.
🧾 A strukturáltan gyűjtött adatok (kérdőívek a közönség körében, vagy más szisztematikusan gyűjtött kérdőívek) fogalmi és kérdőív-struktúra szintjén harmonizáltak-e más azonos adatokkal (pl. A közönség kérdőív az országban elérhető más kérdőívekkel? A rendezvény adatai megfelelnek-e a schema.org vagy más szabványosító szervezet rendezvény adatainak?)


🎶 Surveyharmonies 🖱 click is our first experimental product that allows you to recycle surveys from all over Europe.
☑️ You ask questions about gender inequalities in many languages (try it EN IT and you get responses from your audience and more than 30,000 other people in various occupational groups all over Europe.
☿️ Join our pan-European gender inequality survey in January 2023.


♯ Listen Local is a 🖱 click trustworthy, ethical AI-powered system that aims to help great artists in small organizations and small countries using big data.
🎶 Our Listen Local Apps want to make sure that local ecosystems are not colonized by global platforms.

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.

Data problems


	The cost of questionnaire-based market research (survey) is increasing exponentially and offers mediocre results without an enormous question bank and harmonization with other surveys.(See 🖱 blogpost)
	Manual data acquisition is an error-prone and boring task for humans that requires many working hours (often not credited in consultancies, law firms, or research institutes.)
	Wrangling spreadsheet tables or word processor documents by people without data knowledge is the 🖱 data Sisyphus.

Platform products	Value added data applications
The European Union, the World Bank, OECD, and UN have facilitated the creation of more than 80 so-called ‘data observatories’ to help companies, researchers, NGOs, and governments systematically collect data and knowledge.	The different observatories offer different types of knowledge products, such as statistical yearbooks, various apps, and database access.
Most of them use web 1.0 technologies, inefficient knowledge accumulation. Already 20 of them have been discontinued.	We are developing software solutions that exploit our platforms: we harmonize surveys, statistical data, automate research reporting, elements of market monitoring or ESG reporting.
We are currently building one prototype for the European Music Observatory financed by the European Union and music industry players (cc 3-4 million euros.) We would like to take over existing or start new observatories in 2 years at least 5)	Each observatory gives us intimidate customer access to 3-4 large universities, 1-2 large consultancies, and various specialist institutions.

Dutch AI Coalition


💻 Reprex is a member of the Dutch AI Coalition 🖱 click and we help building algorithms that work for all, small and large music organizations, non-profits and commercial ones.
♎ Reprex believes that unequal access to data, data know-how and tools creates inequalities in the benefits in AI.
🚀 Our Listen Local Apps 🖱 click want to make sure that local ecosystems are not colonized by global platforms.

Questions?

🖱 Click the blue links | email | keybase

Reprex: Daniel Antal | Gabija Liaugminaitė | Reprex—big data that works for all

Reproducible Economic Impact Assessment

Sun, 19 Dec 2021 13:00:00 +0100

Get started with iotables.

We made an important, peer-reviewed release of iotables in the last week as a preparation to increase the functionality of our open-source software. The official release of the iotables R package currently works with economic impact assessments, and can evaluate the likely employment, tax, wage, or gross value added direct, indirect and multiplied impacts of various policy changes in about 30 countries.

Originally the package was developed to calculate the economic impact of the Hungarian film tax shelter and the impact of the music sector on the Slovak economy. (See Slovak Music Industry Report).

The new CRAN release improved the documentation of the function and removed most outdated dependencies. The new, development version (which did not go through peer-review yet) is adding new functionality for environmental impact analysis with the following pollutants: Carbon dioxide without emissions from biomass (CO2), Carbon dioxide from biomass (Biomass CO2), Nitroux oxide (N2O), Methane (CH4), Perfluorocarbons (PFCs), Hydrofluorocarbons (HFCs), Sulphur hexafluoride (SF6) including nitrogen trifluoride (NF3), Nitrogen oxides (NOx), Non-methane volatile organic compounds, (NMVOC), Carbon monoxide (CO), Particulate matter < 10μm (PM10), Particulate matter < 2,5μm (PM2,5), Sulphur dioxide (SO2), Ammonia (NH3) and their combinations (see Reference Metadata in Euro SDMX Metadata Structure (ESMS)).

Our aim is to develop new sustainable finance applications, and understand the sustainability impacts of bank’s lending activities and insurer’s underwriting activities on climate change mitigation and adoption, biodiversity, preservation of water reservers, preventing pollution, and promoting the circular economy.

EU Taxonomy on Sustainable Activities

The European Commission created an created an EU Taxonomy Compass, which provides a visual representation of the contents of the EU Taxonomy, starting with the Delegated Act on the climate objectives, as adopted on 4 June 2021. Whilst you can download the EU Taxonomy in xlsx or json format, they are not tidy datasets, and they are not particularly well-suited for calculations, filtering, or inclusion in applications.

Reprex created a tidy version of the EU Taxonomy for developing better sustainability indicators into the Green Deal Data Observatory.

Open Data

EU Taxonomy on Sustainable Activities (Tidy) download.

Using our iotables is not for the faint heart. It is a scientific software, and it requires a good command of national accounts, input-output economics and sustainability to work with. Our Green Deal Data Observaotry is designed to be an API of scientific software, and produce clean, ready to use data for researchers, policy-makers and business planners who do not have the skills to work with scientific software. We are planning to release well-designed datasets that go through dozens of checks to make sure they have the best data quality.

Do you want to develop input-output models for any European country to measure the direct and indirect green house gas impacts of policy actions? Do you need well-formatted data on interindustry linkages or other relevant topics for sustainable economy or susitainable finance research? Get in touch with us – we are happy to help and test our new software tool with data you need, and create high-quality, open datasets that are ready to use.

Green Deal Data Observatory | Daniel Antal

Reprex

Slide navigation

Big Data Creates Inequalities

Data problems

Data observatories 3.0

Team

Dutch AI Coalition

Questions?

Reprex

MTPA MeetUP

Antal Dániel, CFA - Reprex

2022. december 12.

Navigáció

Data observatory 3.0

Hogyan célszerű rendezvényekről gondolkodni?

Big Data Creates Inequalities

Data problems

Dutch AI Coalition

Questions?

Reproducible Economic Impact Assessment

EU Taxonomy on Sustainable Activities

Open Data