10 posts found
Global principles of AI journalism
General ethical frameworks
The absence of a common, unified, ethical framework for the use of artificial intelligence in the world is only apparent and, in a sense, a myth. There are a multitude of supranational charters, manuals and sets of standards that set out principles of ethical use, although…
The benefits of open data in the agriculture and forestry sector: the case of Fruktia and Arbaria
As in other industries, digital transformation is helping to change the way the agriculture and forestry sector operates. Combining technologies such as geolocation or artificial intelligence and using open datasets to develop new precision tools is transforming agriculture into an increasingly tech…
Open data reuse in journalism: a window to new business models and communities
We recently reflected on the rise of data journalism in the media, a discipline that is becoming increasingly important. Through technologies and tools linked to data, this journalistic modality makes it possible to offer readers more documented, attractive and comprehensible information. To this en…
The rise of data journalism in the media
More and more media outlets have articles on their pages linked to so-called data journalism. This form of journalism uses the technologies and tools related to to data to provide readers with more documented, easier to understand and more engaging information.
In this article we explain what data j…
New European strategy on open source software 2020-2023
Have you ever stopped to think about how much open source software you use in your day-to-day life without even being aware of it? From most of the apps on your smartphone, to your connected home devices, to the software running in your car. In all of these programs, much of the code is partly based…
Copernicus, the European Earth Observation Program
Geospatial data is one of the data categories most demanded by organizations, companies and citizens. The new European regulation on open data and reuse of public sector information considers them as high-value data, due to its ability to boost innovative services and generate socio-economic benefit…
The agroclimatic information system for irrigation (SiAR)
The data generated by the agroclimatic stations maintained by the different public administrations and integrated into the Agroclimatic Information System for Irrigation (SiAR) generate valuable open data sets for the agricultural sector. These data, combined with other open data sets, such as weath…
The transversality of open climate data
Humans have been interested in weather prediction for several millennia. This interest goes back at least until the Babylonian civilization, when meteorological predictions were already made based on astrology and the clouds patterns. However, it was in the early twentieth century when decisive prog…
Technologies that boost the precision forestry industry
The forest industry, as defined by FAO, include all economic activities that mostly depend on the production of goods and services from forests. This is an industry that, in many cases, has been seen as destructive to the environment due to its relationship with the tree felling. However, in almost…
Applications of [open] data science for agriculture
In many areas, there is a false belief that the primary sector is a technologically backward sector that is not involved in digitization. Perhaps because throughout history, as economic development indicators progressed, their weight in GDP and employment rates has been decreasing in favor of other…
