When you need data from the past, it is too late to start collecting it. If you need satellite data, it is unlikely that you can have your own sensors in the space. Working with open data is sometimes cheaper than with market vendor data. But most open data is not processed. We made the investment to clean it for you.
A very cold winter is coming to Europe. Thermowatt is looking for specific locations in the Hague, then South Holland, then in the Benelux, then in the EU, to pump out the energy from lukewarm wastewater, protecting both your energy costs, the climate, and the biodiversity of natural water bodies.
Just weeks before the tragic, but sadly predictable Belgian floods we connected some open, but unprocessed opinion poll data about the perception of flood risk, hydrological data about the actual risk of flood, and public finance data in the extremely decentralized country. The data has been there, but it was not in a form that public policymakers, insurers of NGOs could have used directly.
Our new, vertical observatories bring ESG and antitrust solutions from our domain-specific observatories. The competition observatory is in an early, conceptual phase. We are currently making progress with the ESG reporting issue, which overlap, for example, in providing evidence against greenwashing.
Participating in open source is often a highly collaborative experience. We’re encouraged to create in public view, and we’re incentivize 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. ☛ slides
Our Competition Data Observatory is a fully automated, open source, open data observatory that produces new indicators from open data sources and experimental big data sources, with authoritative copies and a modern API.
Our observatory is monitoring the certain segments of the European economy, and develops tools for computational antitrust in Europe. We take a critical SME-, intellectual property policy and competition policy point of view automation, robotization, and the AI revolution on the service-oriented European social market economy.
We would like to create early-warning, risk, economic effect, and impact indicators that can be used in scientific, business and policy contexts for professionals who are working on re-setting the European economy after a devastating pandemic and in the age of AI. We would like to map data between economic activities (NACE), antitrust markets, and sub-national, regional, metropolitian area data.
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Our Product/Market Fit was validated in the world’s 2nd ranked university-backed incubator program, the Yes!Delft AI Validation Lab.
Our first use case is about identifying potential political roadblocks for climate policies. We are combining survey data about attitudes to climate change policies with socio-economic coal mining and and voting data. We examine the relationship between voter attitudes and economic dependency on coal mining.
While the US have already taken steps to provide an integrated data space for music as of 1 January 2021, the EU is facing major obstacles not only in the field of music but also in other creative industry sectors. Weighing costs and benefits, there can be little doubt that new data improvement initiatives and sufficient investment in a better copyright data infrastructure should play a central role in EU copyright policy. A trade-off between data harmonisation and interoperability on the one hand, and transparency and accountability of content recommender systems on the other, could pave the way for successful new initiatives.
The topic of the paper is Library Genesis (LG), the biggest piratical scholarly library on the internet, which provides copyright infringing access to more than 2.5 million scientific monographs, edited volumes, and textbooks. The paper uses advanced statistical methods to explain why researchers around the globe use copyright infringing knowledge resources. The analysis is based on a huge usage dataset from LG, as well as data from the World Bank, Eurostat, and Eurobarometer, to identify the role of macroeconomic factors, such as R&D and higher education spending, GDP, researcher density in scholarly copyright infringing activities.