Data stories

Open Data and Artificial Intelligence - a good interaction Water is one of three basic needs for humans. Our earth is mostly covered with water, while only two percent is fresh water. However, this topic does not only concern cities, but intelligent water management is one of the most vital challenges for smart cities in the future. With Open Data, it is possible to compare the water resources of...

Clean air is crucial for us, however, the significance of it will rise in the future Air is essential for our daily survival - it is more important than food or water for us. As urbanisation processes, more and more people and industries are moving into the cities, which has an impact on urban air quality. Forecasts predict that the world population will increase from seven billion to almost ten...

Digitisation makes cities smart Service orientation becomes more and more important - also for cities. Digital urban solutions are increasingly demanded. Emerging technologies offer new services to cities and its citizens. Smart Cities are no future scenario anymore but describe cities that use innovative technologies to create added value for the population and the economy. The leading Smart City...

New technologies have made it possible to expose cultural heritage on digital platforms. However, until this moment only a small fraction of the cultural institutions worldwide digitised their material and made it openly available. You can read more about the importance of digitisation of open cultural heritage and its re-use. In fostering the process of digitisation of cultural heritage, cultural...

Background and aim of the PSI directive and its revision The aim of the PSI Directive on re-use of Public Sector Information is to foster and guide the re-use of Public Sector Information (PSI). The directive advocates making more public sector data and public research data available at higher quality to increase the reusability. A solid framework guides which data needs to be open and how...

AI and data: a crucial combination Artificial Intelligence (AI) technology has the capacity to extract deeper insights from datasets than other techniques. Examples of AI are: speech recognition, natural language, processing, chatbots or voice bots. To get AI applications to work, big sets of high quality (open) data are necessary. But what requirements does this data have to meet? To answer this...

What is data driven journalism? " The goal is to explain the news and tell the stories in the most attractive, accurate and simple way as possible." Jaime Serra, Data Journalist, La Vanguardia. Data journalists are professionals with a sense for news and the ability to write compelling stories using data. Data can be a source of information for data journalists and it can be used to compare...

What is the background of the GDPR? As technologies develop and more and more data are produced and collected, several initiatives seize the potential of the data by re-using it to gain insight or provide new products and services. Mobile applications can, for example, tell users when it will rain in which area by linked weather and geo data. Websites on public procurement provide inside on public...

The rise of cultural Open Data Cultural institutions possess a lot of valuable information. Examples are the collections that cultural institutions manage and the available knowledge about these collections. New technologies have made it possible to expose cultural heritage on digital platforms and in the last few years, an increasing number of cultural institutions digitised their collections...

Using AI in the public sector is possible, but how? Artificial Intelligence (AI) software has been called the most disruptive force in technology and it offers an unprecedented opportunity to transform both the private- and public services sector. It is a priority for the European Union and the European Commission recently presented a series of measure to boost Europe's competitiveness in this...