21 posts found
How to ensure the authenticity of satellite imagery
Synthetic images are visual representations artificially generated by algorithms and computational techniques, rather than being captured directly from reality with cameras or sensors. They are produced from different methods, among which the antagonistic generative networks (Generative Adversarial…
Federated machine learning: generating value from shared data while maintaining privacy
Data is a fundamental resource for improving our quality of life because it enables better decision-making processes to create personalised products and services, both in the public and private sectors. In contexts such as health, mobility, energy or education, the use of data facilitates more effic…
Building footprints: open data that saves lives in emergencies
In a world increasingly exposed to natural hazards and humanitarian crises, accurate and up-to-date geospatial data can make the difference between effective response and delayed reaction. The building footprints, i.e. the contours of buildings as they appear on the ground, are one of the most valua…
How do you build an artificial intelligence model?
Artificial Intelligence (AI) is no longer a futuristic concept and has become a key tool in our daily lives. From movie or series recommendations on streaming platforms to virtual assistants like Alexa or Google Assistant on our devices, AI is everywhere. But how do you build an AI model? Despite wh…
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…
Addressing global challenges through open data
The ability to collect, analyse and share data plays a crucial role in the context of the global challenges we face as a society today. From pollution and climate change, through poverty and pandemics, to sustainable mobility and lack of access to basic services. Global problems require solutions th…
Open geographic data applications of the National Centre for Geographic Information (NICHD)
The National Centre for Geographic Information publishes open geospatial data from the National Cartographic System, the National Geographic Institute and other organisations through web applications and mobile applications to facilitate access to and consultation of geographic data by citizens.
Geo…
What is the value of open geographic data?
Geographic data allow us to learn about the world around us. From locating optimal travel routes to monitoring natural ecosystems, from urban planning and development to emergency management, geographic data has great potential to drive development and efficiency in multiple economic and social area…
How to prepare a dataset for machine learning and análisis
In the process of analysing data and training machine learning models, it is essential to have an adequate dataset. Therefore, the questions arise: how should you prepare your datasets for machine learning and analytics, and how can you be confident that the data will lead to robust conclusions and…
Hot OSM: Collaborative mapping to coordinate emergency response
The humanitarian crisis following the earthquake in Haiti in 2010 was the starting point for a voluntary initiative to create maps to identify the level of damage and vulnerability by areas, and thus to coordinate emergency teams. Since then, the collaborative mapping project known as Hot OSM (OpenS…
