Green Deal Data Observatory

Open Data Day in The Hague 2023

Sun, 05 Mar 2023 13:00:00 +0100

Reprex is a finalist for The Hague Innovators Award 2022, and the prize of the audience, in the startup category with our respectable competitors, Sibö, WECO, STHRIVE and ECOBLOQ.

Reprex will organize events on the International Open Data Day. Save the date in your calendar.

Data Observatory Labs

Thu, 02 Mar 2023 13:40:00 +0100

Check out our slides. We are still looking for certain partners.

We want to build a network of Innovation Labs, connecting labs and businesses that bring these novel scientific and innovation results nearer to civil society actors, individual creators, and microenterprises in services. We bring data-, sustainability-, rights management innovation, and novel distribution models nearer to the grassroots level of creation. We want to transform scientific and technical development into business development available for small creative organizations without a data engineering/science function.

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WP 1 Coordination

Reprex aims to coordinate this project with a dedicated, experienced Creative Europe project manager who is familiar with the music and audiovisual creation.
Because of the project size and subsidy rate (60%) every partner must contribute to financing WP Project Coordination in proportion to their effective subsidies.

WP Survey Recycling

Utilize the survey harmonization and recycling tools developed in music to be available for film, television, photography, and book publishing users.
Extend harmonized question banks, and remove interoperability and semantic barriers to reuse data from previous audience and policy surveys for these CCSIs.
Subsidize the initial costs in use to transfer from non-reusable market research to reusable, collaborative market research.

WP Heritage Reuse

Utilize the best practices from music archives, film archives, and private photography archives to remove copyright law, ethical, interoperability, and semantic barriers to mix archival/heritage and new content in music, film, and photography (including in books.)
Create a special-purpose record label and audiovisual distributor that specializes in difficult, out-of-commerce/archival/commercial derivative work distribution on global streaming platforms.
Build a best practice for the legal and ethical public performance of derivative works that are made from archival/heritage (which were not deposited with the intent to be commercially used or widely circulated) and new creations.

WP AI & Big Data That Works For Everyone

Utilize the best practices from data feminism, music, and film distribution of niche, marginalized content, and create a general framework that reduces inequalities created by lower data representation (of women, small countries, small languages) that result in new injustice on algorithmic platforms. See publication.
Build new music, film, and photography information services that reduce the data imbalances, and make small language (for example, Estonian) or historically underrepresented (for example, female artists) more likely to be recommended by AI-driven algorithmic platforms such as YouTube, Spotify, or Amazon.
Create open source solutions and open knowledge that enables small, independent music, documentary, photography, and book publishers to build audiences, and monetize content with big data and AI algorithms that work for everyone, not only male artists, English language content, and mainstream works.

Potential partners

Creative enterprises with good YouTube (+Vimeo and other) distribution and rights management track record.
Market research, particularly survey based in film and television.
Services for private collections/collectors.

Who are we?

In 90 secs: conceptual introduction

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LineCheck, Milano, IT

Thu, 24 Nov 2022 15:15:00 +0000

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Green Deal, this time for real

Daniel Antal, co-founder of Reprex will participate in the panel about on Thursday, November the 24th at 3.15pm about environment and sustainability in the music industry and introduce Eviota, our simplified, connected financial and sustainability reporting tool.

At LineCheck X, you can find out more about our projects

You can get a free, total value chain based sustainability report. (Get in touch with us before 18 November)
We will demonstrate how you can eradicate packaging waste from your music events by making the packaging edible.
And you can find out how we are trying to find where energy is going down the sewage, literally, with Thermowatt and the Green Deal Data Observatory.

Beta test our sustainabilitiy reporting tool

We are looking for beta testers for our simplified sustainability report that is made from your trial balance. We sign and NDA about your accounting data if you test with us, and you can test with older data, too. Beta testing is free.

Our solution benefits the music MSMEs and CSOs in several ways:

The European Commission estimates that the cost of connecting sustainability and finanical reporting will cost on average €10,000 for corporations. We want to bring down the voluntary reporting costs for MSMEs below €500 euro to benefit from green loans, green insurance and other green financing.
It provides them with a size adequate sustainability management and reporting tool that helps first the management of greenhouse gas emissions, and later sustainable water use, pollutions, biodiversity, and recycling in their entire value chain (for example, it flags environmental risks in the supply base of a festival including equipment rentals, transport, security firms, catering facilities, etc.) by connecting standard accounting documents of the MSME with SNA and EEA science based benchmarks.
Our system will be extendible to management of social sustainability. We are also showcasing harmonized gender inequality data collection with our other project (see below.)

Digital Music Observatory: survive in the music business without a data engineer

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We will introduce Surveyharmonies, a survey recycling and survey harmonization tool. You can participate in our international gender bias survey in January 2023. Our team will also participate in the KeyChange Creative Lab on Friday, 25 November at 11.00.
You can learn about our Listen Local project, which helps local music ecosystems remain visible on global platforms.
We will offer you a cup of tea or coffee in an edible cup.

Harmonizing surveys on gender (in)equaliaty

You can create better surveys with less cost: you only need to ask the information, or change of information, that is not included in our harmonized datasets. Shorter, better questionnaires, smaller samples sizes, huge cost savings.
When you make questionnaire-based research, you immediately get a history (the same question asked years ago) and an international comparison (the same question asked in other countries.)
Often you do not even have to pay for the survey, because somebody else has already made a similar taxpayer funded research and we can just get the data for you.

Survey harmonization is a powerful research tool to increase the usability of questionnaire-based empirical research. Read more on our blog.

New Data Curators Wanted

Wed, 09 Nov 2022 11:46:00 +0100

A data curator is a contributor in our open collaboration who will be named as a co-creator of tidy, standardized, reusable, FAIR, datasets in his/her field of expertise. Our curators help us vocalize the needs of their domain, be it data-driven beekeeping, or detecting algorithmic biases of recommender systems, and evaluates if the data that we come up with is directly usable and actionable. A data curator is a similar co-author as a “contributor” to open source software or a co-author of a journal article.

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Boost your career without a conflict of interest

Being a data curator does not mean a commercial affiliation with any observatory partners, it is an affiliation to jointly create intellectual property. All our data curators are identified by their ORCiD ideas and named as co-creators in the open science repositories where we make our data available.

We create CC0 data that can be used for commercial, academic, and policy purposes. However, we want to honor the intellectual investment into a shared intellectual property by

delaying the release (for remaining competitive in academic publishing, if our curator is using the data in new articles; or NGOs for their campaign)
creating hybrid assets for commercial users where some elements, particularly the ones that use their proprietary data, may not become open data.

FAIR: Findable, Accessible, Interoperable, and Reusable Digital Assets

Our observatories do not only work with open data.

We want to make data findable, interoperable (to be used in many applications), accessible, and eventually reusable (FAIR), but that does not mean that all data used must be free. Creating and especially regularly updating high-quality data assets requires plenty of intellectual and monetary investment.

We gladly add commercially available data to our observatory if we can share a large enough subset that our peer-reviewers can attest to the data’s high quality, usability, and actionability.

How to become a data curator?

Our handbook for curators a bit of a work in progress, but the onboarding process is clear. Do not worry if you do not use GitHub, it is not necessary, but we story and co-create our assets, including the curator’s handbook on this digital co-working place.

This is an open book that we co-create on GitHub, and if you find any roadblocks, you do not understand something, or have a better idea on how to illustrate or explain things, just make a for to this repo, improve it, add new photos, and send us a pull request. (You need an invite first for editing!)
Here is a starter repository on GitHub. Not mandatory, but if you use GitHub, start here.

In a nutshell:

Please read the entire covenant here.
We need a very brief biography. Name, affiliation, education details, one-line and short biography. Please, send back this bio_template.txt text file. If you know markdown, use this version. The files are identical, but your word processor may not know how to open an .md file.
Your ORCiD to resolve ambiguity with similarly named people. You may use different library or publication service IDs, such as Google Scholar, Publeon, etc, you may provide them, too, but we do need an ORCiD ID, because most of the EU open science infrastructure and the R ecosystem uses this one. If you do not have it, please create one—it only takes a few minutes. Please add it to the bio_template.txt.
Your LinkedIn ID, add it to the bio_template.txt.
You should follow our file naming conventions, and avoid the use of special characters in any file names at all times: , $, :,;,,,., ", ' tick or backtick.
You must send a ile picture that is at least 500px wide (jpg or png format.) It can be bigger, and preferably not a very “narrow” cut, as all avatars will be behind a circular mask (see other curators.)

Find inspiration from other contributors

Why data observatories?

Our data observatories (platform products) cover our R&D and platform costs while giving us access to an expanding range of prime clients. We use 21-st century open-source data engineering solutions, a decentralized data governance method, and web 3.0 technologies to avoid conflicts of interest and prevent the data Sisyphus of error-prone human data wrangling. There is little competition on this service level (there are about 60 UN/EU/OECD recognized data observatories, and almost all of them are managed by a different operator.) This layer is already monetized, and we have proven success. Our unique advantage is a combination of legal and technological skills: understanding legally open data, web 3.0, and data modeling, and the ability to participate in the open-source statistical /scientific software creator community.
We create open-source software applications that fuel our data observatories with unprocessed, open, linked data. We create software for the R statistical environment, which is used in both official statistics and in many business and academic organizations. The production of R software components is a competitive field, but we believe that our position is strong: the vast majority of R packages are lightly or not at all serviced because of the lack of financing.

We provide bespoke analytics solutions to our institutional partners in our data observatories. Such bespoke solutions iterate over our existing software components, helping us design better applications within an ever-expanding ecosystem. Providing tailored data-science services would require a large organization without a clear focus. We provide these services on an ad-hoc basis only among institutional partners and users of our data observatories. In these circles, which are often prime clients, we face little or no competition because we are trusted partners and data and solution providers. This is a key to our revenue and market growth.
We develop high-value software-as-service applications that leverage our data observatory assets and our software solution into a novel, commercially valuable uses. Our applications are built around our family of open-source software and generalize our bespoke analytics solutions. We are in a late prototype phase where we already have some revenue and are trying to prepare for scaling up at the correct price with three of our applications. All of our applications are entering into highly competitive market segments. We are building on our ‘unfair’ advantage that we are bundling our solutions with data that is not accessible to competitors, and we can test them in the protected ecosystems of our observatories.

Good to know

FAIR Principles: improve the Findability, Accessibility, Interoperability, and Reuse of digital assets.
DataCite: A persistent, standardized approach to access, identification, sharing, and re-use of datasets—this is our favored way of describing data for future use according to the FAIR principles. Many EU open science repositories will ask your publications with this documentation.
Biblatex is a standard text file used by citation engines, bibliography management tool, and in scientific publication templates. (See for example the Overleaf Biblatex tutorial.
Dublin Core is an older international standard than DataCite, but the two standards greatly overlap. Dublin Core was originally developed by libraries. You often may need to fill out Dublin Core properties for publication.

Watch Our 2-min Introduction

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Vote Reprex :)

Go to Cast your vote for The Hague Innovators challenge 2022! and choose Reprex :)

BeeSage: Data-driven Beekeeping for Productivity and Sustainability

Mon, 31 Oct 2022 12:00:00 +0000

BeeSage is an early stage startup which is contesting the The Hague Innovators Award in the pre-startup category. They are evangelizing data-driven beekeeping for productivity and sustainability, Reprex is an impact scale-up in the other category of this competition for more mature startups that is building collaborative, open scholarly data infrastructure, so-called data observatories to support the needs of various data-driven policy, business, or scientific innovation.

We met in the ImpactCity initiative of The Hague, and we’d like to build on The Hague impact startup ecosystem by combining our respective strengths so we decided to join forces! We both want to win in The Hague Innovators’ Challenge in 2022, but we only compete for the votes of the audience. Through our cooperation, we would like to increase the viability of BeeSage in the pre-startup category and increase the value proposition of Reprex in the startup category to the jury in ImpactFest.

Remote team of engineers in the Netherlands, Latvia and Portugal.

BeeSage modular beehive monitoring system boosts productivity and honey yield to benefit the Earth through data-driven pollination. Their software and hardware such as Smart Beehive Scales help beekeepers mitigate risks and enable informed decisions, while turning every apiary into a weather station.

They are also building HiveMap as a data analytics software, which enables beekeeper associations, environmental organizations and other stakeholders to turn beehive and remove sensing data into valuable insights. This product can be greatly enhanced through the latest data from Europe’s Copernicus satellites, from meteorological and air pollution sources. This is where Reprex’s Green Deal Data Observatory comes into the picture.

BeeSage is building HiveMap as a data analytics software.

Beekeepers associations, small research groups, or Ecotech startups cannot afford to build a full team of data engineers, data scientists, and statisticians to tap into components of raw inflation data (to find honey price or food value chain data), to create validated and continuously maintained data pipelines from environmental satellites, the data warehouses of Eurostat and the European Environmental Agency. They cannot hire small-area statisticians and ecological regression experts to create ecological and key business indicators for small tracts of land that are directly relevant to the health of a honeybee colony.

Reprex produces open-source scientific software, and various collaborative data engineering infrastructures to get legally open governmental data and open science data in a timely, usable format to ecological researchers, beekeeper associations, and Ecotech startups like BeeSage. The European Union legally opened up vast arrays of scientific and governmental data sources for commercial and scientific reuse, but investment into re-processing and validating data that was originally collected for a different primary cause requires plenty of private investment.

Reprex’s data observatories, particularly the Green Deal Data Observatory are public-private partnerships that foster the collective collection, processing, peer-review, and reuse of novel big data, like BeeSage’s beehive data, and reusable statistical and environmental data. We hope to place the permanent institution of this PPP in the Hague, which is already the World’s Smartest City, and which wants to remain a global centre of excellence of peace, justice, and sustainability in the era of big data and AI.

Reprex: Big Data For All

Mon, 31 Oct 2022 12:00:00 +0000

Reprex is the Hague-based impact startup developing decentralized, modern, web 3.0-compatible data observatories. Our mission is to fulfill parts of the SDG 16 and 17 goals: based on the open collaboration method of open-source software development and open knowledge management, we would like to enable impact makers to contribute to other SDG goals by making AI and big data work for them.

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Watch Our 2-min Introduction

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How To Vote?

Go to Cast your vote for The Hague Innovators challenge 2022! and choose Reprex :)

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. Further instructions 🇬🇧 here 🇭🇺 magyarul itt.

What do we do in the European Green Deal?

The Green Deal Data Observatory was our first test to bring our information management, data access, and processing know-how to new data sources (such as environmental satellite data, hydrological data, etc.) after music.
Due to the mainstreaming of SDG and ESG reporting, many features are developed with our music partners and overlap with the Competition Data Observatory.
We are looking for reliable data that can be processed into computational antitrust and policy evidence in relationship with SDG 11 to enhance inclusive and sustainable urbanization, SDG 12 to ensure sustainable consumption and production patterns, SDG 13 to take urgent action to combat climate change and its impacts within the partnership approach of SDG 17.

Product

Our data observatories (platform products) cover our R&D and platform costs while giving us access to an expanding range of prime clients. We use 21-st century open-source data engineering solutions, a decentralized data governance method, and web 3.0 technologies to avoid conflicts of interest and prevent the data Sisyphus of error-prone human data wrangling. There is little competition on this service level (there are about 60 UN/EU/OECD recognized data observatories, and almost all of them are managed by a different operator.) This layer is already monetized, and we have proven success. Our unique advantage is a combination of legal and technological skills: understanding legally open data, web 3.0, and data modeling, and the ability to participate in the open-source statistical /scientific software creator community.
We create open-source software applications that fuel our data observatories with unprocessed, open, linked data. We create software for the R statistical environment, which is used in both official statistics and in many business and academic organizations. The production of R software components is a competitive field, but we believe that our position is strong: the vast majority of R packages are lightly or not at all serviced because of the lack of financing.

We provide bespoke analytics solutions to our institutional partners in our data observatories. Such bespoke solutions iterate over our existing software components, helping us design better applications within an ever-expanding ecosystem. Providing tailored data-science services would require a large organization without a clear focus. We provide these services on an ad-hoc basis only among institutional partners and users of our data observatories. In these circles, which are often prime clients, we face little or no competition because we are trusted partners and data and solution providers. This is a key to our revenue and market growth.
We develop high-value software-as-service applications that leverage our data observatory assets and our software solution into a novel, commercially valuable uses. Our applications are built around our family of open-source software and generalize our bespoke analytics solutions. We are in a late prototype phase where we already have some revenue and are trying to prepare for scaling up at the correct price with three of our applications. All of our applications are entering into highly competitive market segments. We are building on our ‘unfair’ advantage that we are bundling our solutions with data that is not accessible to competitors, and we can test them in the protected ecosystems of our observatories.

Plans in The Hague?

Our message is simple: doing business and doing good for the city of the Hague means a vote for Reprex. We would like to win the Hague Innovators Challenge in 2022 because we believe we could multiply our growth in partnership with the Hague. We have a significant budget to develop our observatories, and our company is already located in the Hague, in Apollo 14—but most of our team members, not to mention the observatory’s non-data personnel are not based in our beautiful and smart city. The observatories are important platforms for our growth, and they could create a lot more jobs and impact in the city than in our startup company. Should we win the prize, we would spend the 25,000 euros on one thing: to develop our observatories into a real public-private partnership in the Hague, with a permanent office in Apollo 14 or the Hague Humanity Hub.

Music Eviota

Thu, 09 Jun 2022 09:40:00 +0100

Reporting the impacts of the entire value chain.

The Eviota project aims to create sustainability reports connected to the financial accounts of companies, NGOs, and civil society actors. The first phase concentrates on greenhouse gases and air pollutants. We want to create reliable estimates of the carbon and other pollutants footprint of music-related (social) enterprises based on their spending (“connected financial and sustainability reporting”.)

Creating connected sustainability reports has many advantages.

It shows consumers, donors, and buyers that the company cares for sustainable growth.
The organization can ask for grants related to increasing sustainability.
In the EU, the company will be eligible for cheaper green loans, green insurance, and green investments.
Large corporations, including music event donors, may require their supply chain to produce credible sustainability metrics.

There are some difficulties that we want to overcome in this project.

Connected financial and sustainability reports are complex, they require plenty of data, and mandatory only for ’large’ corporations. Just like small companies can make ‘simplified tax returns’ and ‘simplified financial reports’, we aim to create a less complex and cheap simplified, connected financial and sustainability report.
Due to the high complexity, they take a long time to create and are costly: the European Commission estimates their total cost at €10,000.

In Europe, there are a handful of large organizations present in the music industry. So, there is no regulatory push for music enterprises to engage in sustainability reporting. However, this means that they cannot benefit from the advantages above.

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Our approach

Most sustainability calculators are very complex because they use many data inputs from the company. Our mission is to reduce the complexity; however, this would require plenty of experience to define the shortcuts. We will compare all spending (upstream value chain or suppliers) and all income (downstream value chain or buyers) to the know spending of all similar organizations in your country in the comparison year.

To reduce the data need, we only take into consideration cost/income groups that meet the financial materiality treshold, i.e. 3% of your total costs or total business-to-business sales.

We offer free, manual calculation in the first phase to ensure we define these simplifications well. To reduce the time needed to collect data about your purchases and sales, we will rely on a part of the “trial balance”, because this is available in your accounting system (and can be exported by your accounting software.) The trial balance is an annual summary of the general ledger accounts. We need only the expenses and revenues accounts, and do not need assets, liabilities, gains and losses.

A part of a fictitious Italian trial balance with Italian and English language labels. The blurred numbers are randomized from an actual trial balance and presented in a different currency than the original.

Why the trial balance?

We start from a document that every company has, and does not require extra management time to prepare, the so-called trial balance. This is an accounting document that can be obtained from the company’s accountant.

A trial balance is a report that lists the balances of all general ledger accounts of a company at a certain point in time. The accounts reflected on a trial balance are related to all major accounting items, including assets, liabilities, equity, revenues, expenses, gains, and losses. It is primarily used to identify the balance of debits and credits entries from the transactions recorded in the general ledger at a certain point in time.

No extra management time is needed: it is already recorded by every company’s accountant. The general ledger is recorded by your accountant. We do not need the ledger, only the annual account summaries of revenues and expenses.
It is not subjective. It states exactly what you were spending on.
It is more or less standardized across Europe—and almost all countries of the world, with the exception of the U.S. and some other countries.
We need to use the same working document that your accountant uses to maintain an important objectivity criterion: connectivity. This way your annual report will be consistent, if you say in the financial part that you spend 1000 euro on energy, then we will calculate the greenhouse gas emissions based on KWh volume of the the energy that cost you 1000 euros.

This way we avoid a lot of data entry into the calculator. At this stage, you we do not offer an uploader, because we want to test manually different trial balances before automating the uploading process.

How does it work?

In the future, we hope our calculator will ask the user to upload the trial balance to a secure location, answer a few questions, and get the sustainability report back. Because the trial balance has no strictly defined form (it differs between small, very small, and medium-sized companies, and country to country), we need to do some manual reporting to standardize this procedure.

We use the trial balance (see examples of a trial balance), because that is a standard document that your accountant has about all your purchases and all your sales.

We compare your company’s supply purchases and sales with all similar companies in your country and industry for the comparison year. In this example, we compare the data of Hungarian publisher’s GHG emissions using the purchases in its trial balance with the emissions of all Hungarian publishers (based on their data reported to the tax authorities) in 2020.

Currently your accountant creates two documents, which are binded together and published by law in one “book”, your (Simplified) Annual Report. In Europe, all micro- and small companies create a Simplified Annual Report.

the annual (simplified) balance sheet
the annual (simplified) profit and loss statement

Using exactly the same data, i.e. the “trial balance”, and adding sustainability data, we will create a third document: 3. The annual (simplified) sustainability report, which is a non-financial disclosure of the annual report.

Process: From your data to the final report

We sign a non-disclosure agreement.
You send us your trial balance.
We create a first draft of your carbon footprint. We categorize your suppliers (costs) and buyers (income) into 64 categories for which we have reliable data. See methodology below.
Most of our calculations are made with iotables, our scientific and open source software. We rely on open data from the Green Deal Data Observatory, which in turn processes reliable data of Eurostat and the European Environmental Agency in readily usable format. The use of open source reporting tools and open data helps keep our costs low.
We set up a short call with you and your accountant to make some clarifications.
We provide you the final report.

What is the report?

The report is technically a non-financial disclosure (NFD) of your annual financial report, which currently consists of the balance sheet, the profit and loss statement. You can add an optional sustainability report as a third part.

The making of an NFD is not mandatory for small- and medium sized companies and NGOs that usually produce simplified financial reports.
It is two paragraphs of factual text, accompanies with a table and chart about how much greenhouse gases (or other pollutants) are created by your activities.
A sustainability report is a first step to factual sustainability management and avoiding greenwashing. When you know factually how your activities (including purchases from your suppliers) cause greenhouse gas emissions (or contribute to the gender paygap), you can devise steps to reduce your negative impact, or increase your positive impact.
We work with reliable expert advice so that you can act in a credible way, and make credible promises to your customers, your audience, your donors, granting agencies, bank, insurance, or investors.

Methodology

We follow the CPA classification for your suppliers and corporate buyers. See Statistical Classification of Products by Activity Some categories, like B MINING AND QUARRYING are aggregated, i.e. we cannot make a distintion among various mining activities. In service industries this is not required.
We use the same data for comparators that states use to monitor the Paris Accord. We use the categories of the System of National Accounts, which is harmonized on the level of the EU and the level of the UN. In 2022 we only work with EU and candidate countries that follow the EU version, and we’ll adjust our software in 2023 for the rest of the world.
Our sustainability methodology is based on the Global GHG Accounting & Reporting Standard for the Financial Industry.
We follow the EFRAG’s Proposals for a Relevant and Dynamic EU Sustainability Reporting Standard Setting (pdf download) because this will be the basis of future, mandatory reporting standards in Europe.
We will help small music organizations in their sustainability reporting, where detail data and reporting standards are only available for greenhouse gas emissions.

The Music Eviota project is supported by the MusicAIRE.

Open collaboration

Our project is based on open collaboration. Our proposal, provides us with resources to supply further music businesses, music civil society organizations and researchers with high-quality data (during the duration of the project for free.) We are already looking for interested parties to put our data and research projects into use and validate their usability and quality in real-life policy or business development scenarios.

Why are we developing this service?

The European Green Deal, which includes the proposed Corporate Sustainability Reporting Directive, and the sustainable finance package, aims to set the European economy on a permanent decarbonization and sustainability increasing path with adjusting the rules how economic activities are financed by bank loans, insurance, investments, and direct subsidies. From 2023, it will be cheaper to get loans, insurance, and other types of funding for organizations that can prove that they follow the environmental, social and governance path set out in the Paris Agreement and other UN, OECD, and EU agreements.

Requirements for connecting financial and sustainability reporting.

Correct and reliable sustainability management will come with many financial advantages and increased responsibility. The European Financial Reporting Advisory Board is currently preparing the new combined financial and sustainability reporting standard that will be used in banks, insurance, investment, granting, and the large companies of Europe in their entire supply and purchaser chain. The European Commission estimates that compliance costs until the end of 2023 will amount to 4 billion euros, with reporting and auditing costs mounting 10,000 euros per organization. While music small and medium sized organizations (MSMEs) and limited liability civil society organizations (CSOs) will be exempted from mandatory sustainability management and audited reporting, they can still comply in a non-audited and voluntary way.

Our solution benefits the music MSMEs and CSOs in several ways:

It provides them with a size adequate sustainability management and reporting tool that helps first the management of greenhouse gas emissions, and later sustainable water use, pollution, biodiversity, and recycling in their entire value chain (for example, it flags environmental risks in the supply base of a festival including equipment rentals, transport, security firms, catering facilities, etc.) by connecting standard accounting documents of the MSME with SNA and EEA science based benchmarks.
Our system will be extendible to management of social sustainability. Our previous research shows that particularly the live music industry that needs a large workforce, suffers from underuse of, and discrimination of female workers in various technical and even managerial roles. Our system will be able to flag risks of gender paygap and related issues in the entire value chain and of course, provide good benchmarks for internal activities.

Our review of the environmental, social and governance risk management (ESG sustainability management) suggests that complying with ESG standards is not only a pre-requisite to get cheaper loans (less important) and cheaper insurance (very important in live music), but also a requirement by corporate sponsors of events, and even a large part of the audience. While some music organizations already provide sustainability reporting, they are not standardized and are less factual as they are not connected to accounting information at every point. Our solution aims to give much credibility to both the sustainability reports and non-financial disclosures of the financial reports (which are not mandatory for MSMEs but increase their trustworthiness on an elective basis if they are included.)

Growing interest for ESG in select countries.

Future plans: Social Sustainability and Anti-Bribary

MusicAIRE Green Recovery in the Music Sector

Co-funded by the European Union

The objectives of the MusicAIRE GREEN recovery program is increasing the music sector’s environmental sustainability and ecological awareness with a view to greening the music industry, in particular live acts, festivals and touring, as well as supporting innovative start-ups aiming at decreasing the environmental footprint of online data storing and music distribution.

Co-funded by the European Union

Identifying Roadblocks to Net Zero Legislation

Tue, 16 Mar 2021 00:00:00 +0000

In our use case we are merging data about Europe’s coal regions, harmonized surveys about the acceptance of climate policies, and socio-economic data. While the work starts out from existing European research, our retroharmonize survey harmonization solution, our regions sub-national boundary harmonization solution and iotables allows us to connect open data and open knowledge from other coal regions of the world, for example, from the Appalachian economy.

Policy Context

The Just Transition Platform aims to assist EU countries and regions to unlock the support available through the Just Transition Mechanism. It builds on and expands the work of the existing Initiative for Coal Regions in Transition, which already supports fossil fuel producing regions across the EU in achieving a just transition through tailored, needs-oriented assistance and capacity-building.

The Initiative has a secretariat that is co-run by Ecorys, Climate Strategies, ICLEI Europe, and the Wuppertal Institute for Climate. While the initiative is an EU project, it cooperates with other similar initiatives, for example, with the Coalfield Development social enterprise in the Appalachian economy.

Data Sources

Coal regions: Our starting point is the EU coal regions: opportunities and challenges ahead publication Joint Research Centre (JRC), the European Commission’s science and knowledge service. This publication maps Europe’s coal dependent energy and transport infrastructure, and regions that depend on coal-related jobs.
Harmonized Survey Data: The dataset of the Eurobarometer 91.3 (April 2019) harmonized survey. Our transition policy variable is the four-level agreement with the statement More public financial support should be given to the transition to clean energies even if it means subsidies to fossil fuels should be reduced (EN) and Davantage de soutien financier public devrait être donné à la transition vers les énergies propres même si cela signifie que les subventions aux énergies fossiles devraient être réduites (FR) which is then translated to the language use of all participating country.
Environmental Variables: We used data on pm and SO2 polution measured by participating stations in the European Environmental Agency’s monitoring program. The station locations were mapped by Milos to the NUTS sub-national regions.

Exploratory Data Analysis

Our coal-dependency dummy variable is base on the policy document Coal regions in transition.

readRDS(file.path("data", "coal_regions.rds"))

## # A tibble: 253 x 5
##    country_code_is~ region_nuts_nam~ region_nuts_cod~ coal_region is_coal_region
##    <chr>            <fct>            <chr>            <chr>                <dbl>
##  1 BE               Brussels hoofds~ BE10             <NA>                     0
##  2 BE               Liege            BE33             <NA>                     0
##  3 BE               Brabant Wallon   BE31             <NA>                     0
##  4 BE               Antwerpen        BE21             <NA>                     0
##  5 BE               Limburg [BE]     BE22             <NA>                     0
##  6 BE               Oost-Vlaanderen  BE23             <NA>                     0
##  7 BE               Vlaams Brabant   BE24             <NA>                     0
##  8 BE               West-Vlaanderen  BE25             <NA>                     0
##  9 BE               Hainaut          BE32             <NA>                     0
## 10 BE               Namur            BE35             <NA>                     0
## # ... with 243 more rows

Our exploratory data analysis shows that respondent in 2019, agreement with the policy measure significantly differed among EU member states and regions.

transition_policy <- eb19_raw %>%
  rowid_to_column() %>%
  mutate ( transition_policy = normalize_text(transition_policy)) %>%
  fastDummies::dummy_cols(select_columns = 'transition_policy') %>%
  mutate ( transition_policy_agree = case_when(
    transition_policy_totally_agree + transition_policy_tend_to_agree > 0 ~ 1, 
    TRUE ~ 0
  )) %>%
  mutate ( transition_policy_disagree = case_when(
    transition_policy_totally_disagree + transition_policy_tend_to_disagree > 0 ~ 1, 
    TRUE ~ 0
  )) 

eb19_df  <- transition_policy %>% 
  left_join ( air_pollutants, by = 'region_nuts_codes' ) %>%
  mutate ( is_poland = ifelse ( country_code == "PL", 1, 0))

Preliminary Results

Significantly more people agree where

there are more polutants
who are younger
where people are more educated

Significantly less people agree

in rural areas
where more people are older
where more people are less educated
in less polluted areas
in coal regions

A simple model run:

c("transition_policy_totally_agree" , "pm10", "so2", "age_exact", "is_highly_educated" , "is_rural")

## [1] "transition_policy_totally_agree" "pm10"                           
## [3] "so2"                             "age_exact"                      
## [5] "is_highly_educated"              "is_rural"

summary( glm ( transition_policy_totally_agree ~ pm10 + so2 + 
                 age_exact +
                 is_highly_educated + is_rural + is_coal_region +
                 country_code, 
               data = eb19_df, 
               family = binomial ))

## 
## Call:
## glm(formula = transition_policy_totally_agree ~ pm10 + so2 + 
##     age_exact + is_highly_educated + is_rural + is_coal_region + 
##     country_code, family = binomial, data = eb19_df)
## 
## Deviance Residuals: 
##     Min       1Q   Median       3Q      Max  
## -1.7690  -1.0253  -0.8165   1.2264   1.9085  
## 
## Coefficients:
##                      Estimate Std. Error z value Pr(>|z|)    
## (Intercept)        -0.1975096  0.0921551  -2.143 0.032095 *  
## pm10                0.0068505  0.0017445   3.927 8.60e-05 ***
## so2                 0.1381994  0.0405867   3.405 0.000662 ***
## age_exact          -0.0075018  0.0007873  -9.529  < 2e-16 ***
## is_highly_educated  0.2953905  0.0311127   9.494  < 2e-16 ***
## is_rural           -0.1277983  0.0313321  -4.079 4.53e-05 ***
## is_coal_region     -0.2624005  0.0640233  -4.099 4.16e-05 ***
## country_codeBE     -0.3290891  0.0916117  -3.592 0.000328 ***
## country_codeBG     -0.6470116  0.1125114  -5.751 8.89e-09 ***
## country_codeCY      0.8471483  0.1273306   6.653 2.87e-11 ***
## country_codeCZ     -0.5754008  0.0965974  -5.957 2.57e-09 ***
## country_codeDE      0.0106430  0.0856322   0.124 0.901088    
## country_codeDK      0.0577724  0.0925391   0.624 0.532429    
## country_codeEE     -0.8041188  0.0989047  -8.130 4.28e-16 ***
## country_codeES      1.1266903  0.0941495  11.967  < 2e-16 ***
## country_codeFI     -0.2617501  0.0946837  -2.764 0.005702 ** 
## country_codeFR      0.0130239  0.1639339   0.079 0.936678    
## country_codeGB      0.2454631  0.0891845   2.752 0.005918 ** 
## country_codeGR      0.2169278  0.1209199   1.794 0.072816 .  
## country_codeHR     -0.1632727  0.1001563  -1.630 0.103064    
## country_codeHU      0.5779928  0.1020987   5.661 1.50e-08 ***
## country_codeIT     -0.1427249  0.0940144  -1.518 0.128985    
## country_codeLU     -0.3111627  0.1140426  -2.728 0.006363 ** 
## country_codeLV     -0.6246590  0.0963526  -6.483 8.99e-11 ***
## country_codeMT      0.3303363  0.1228611   2.689 0.007173 ** 
## country_codeNL      0.1707080  0.0902189   1.892 0.058470 .  
## country_codePL     -0.2843198  0.1228657  -2.314 0.020664 *  
## country_codePT      0.1447295  0.0899079   1.610 0.107452    
## country_codeRO     -0.0479674  0.0930433  -0.516 0.606177    
## country_codeSE      0.4865939  0.0922486   5.275 1.33e-07 ***
## country_codeSK     -0.2427307  0.0964652  -2.516 0.011861 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 30568  on 22401  degrees of freedom
## Residual deviance: 29313  on 22371  degrees of freedom
##   (5253 observations deleted due to missingness)
## AIC: 29375
## 
## Number of Fisher Scoring iterations: 4

summary( glm ( transition_policy_agree ~ pm10 + so2 + age_exact +
                 is_highly_educated + is_rural, 
               data = eb19_df, 
               family = binomial ))

## 
## Call:
## glm(formula = transition_policy_agree ~ pm10 + so2 + age_exact + 
##     is_highly_educated + is_rural, family = binomial, data = eb19_df)
## 
## Deviance Residuals: 
##     Min       1Q   Median       3Q      Max  
## -2.1970   0.5035   0.5803   0.6495   0.8465  
## 
## Coefficients:
##                     Estimate Std. Error z value Pr(>|z|)    
## (Intercept)         1.807823   0.079297  22.798  < 2e-16 ***
## pm10                0.005092   0.001239   4.108 3.99e-05 ***
## so2                 0.003274   0.051410   0.064  0.94922    
## age_exact          -0.009781   0.000988  -9.900  < 2e-16 ***
## is_highly_educated  0.396743   0.039735   9.985  < 2e-16 ***
## is_rural           -0.107448   0.037953  -2.831  0.00464 ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 20488  on 22401  degrees of freedom
## Residual deviance: 20250  on 22396  degrees of freedom
##   (5253 observations deleted due to missingness)
## AIC: 20262
## 
## Number of Fisher Scoring iterations: 4

Next Steps

After careful documentation, we will very soon publish all the processed, clean datasets on the EU Zenodo repository with clear digital object identification and versioning.
We will seek contact with the Secretariat of the Initiative for Coal Regions in Transition to process all the data annexes in the EU coal regions: opportunities and challenges ahead report.
With our volunteers we want to include coal regions from the United States, Latin America, Australia, Africa first – because we have harmonized survey results – and gradually add the rest of the world.
We will ask political scientists and policy researchers to interpret our findings.