36 posts found
AI tools for research and a new way to use language models
AI systems designed to assist us from the first dives to the final bibliography.
One of the missions of contemporary artificial intelligence is to help us find, sort and digest information, especially with the help of large language models. These systems have come at a time when we most need to mana…
Open source auto machine learning tools
The increasing complexity of machine learning models and the need to optimise their performance has been driving the development of AutoML (Automated Machine Learning) for years. This discipline seeks to automate key tasks in the model development lifecycle, such as algorithm selection, data process…
How Google, Moovit and Citymapper reuse open mobility data
Many people use apps to get around in their daily lives. Apps such as Google Maps, Moovit or CityMapper provide the fastest and most efficient route to a destination. However, what many users are unaware of is that behind these platforms lies a valuable source of information: open data. By reusing p…
Private company data sharing initiatives: success stories
In today's digital age, data sharing and opendatahave emerged as key pillars for innovation, transparency and economic development. A number of companies and organisations around the world are adopting these approaches to foster open access to information and enhance data-driven decision making. Bel…
Data intermediaries and their role in the Data Governance Act
Data is a key part of Europe''s digital economy. This is recognised in the Data Strategy, which aims to create a single market that allows free movement of data in order to foster digital transformation and technological innovation. However, achieving this goal involves overcoming a number of obstac…
The challenge of boosting the Data Economy by deploying the EU's digital diplomacy at the global level
The growing importance of data goes beyond the economic and social spheres at state level to a multinational dimension that raises the challenges, opportunities, threats and uncertainties surrounding the development of the Data Economy to a global scale. In the case of the European Union, the issue…
Challenges and uncertainties for the deployment of the Data Economy in Europe
Four years after the publication of the European Commission's Communication 'A Data Strategy', the European Commission has published a Communication on the European Commission's 'Data Strategy'A Data Strategy' (February 2020) (February 2020) - setting out the broad outlines of the broad outlines of…
Data citation, a practice that favours the re-use of data
We are living in a historic moment in which data is a key asset, on which many small and large decisions of companies, public bodies, social entities and citizens depend every day. It is therefore important to know where each piece of information comes from, to ensure that the issues that affect our…
Why data spaces?
A data space is the place where value is generated around data through voluntary sharing in an environment of sovereignty, trust and security. The data space enables you to determine who accesses what data and under what conditions, thus facilitating the deployment of different use cases to mee…
European support and coordination actions for the deployment of Data Spaces
Data has become the great transforming power of society. Beyond the more mercantilist view, its capacity to generate knowledge, drive innovation and empower individuals and communities is undeniable. Indeed, it is a resource with which to address, from an innovative perspective, major environmental,…
