A deep understanding of the air transport system remains hidden within its data. However, data scientists and domain experts are working together and reaching an unprecedented understanding of system behaviour. A challenging and promising path has opened and new technologies and data intensive applications are being formulated.
Air transport experts can enable this paradigm shift with a set of techniques at their disposal, including data management, data protection, deep analytics, data visualization, as well as supporting data architectures. Applying these techniques to aviation data can potentially provide new insights on paramount aspects like environmental impact, safety or performance efficiency.
We offer an inside look into the knowledge and ideas surrounding these techniques. The scenarios and use cases aim to inspire others and to stimulate joint initiatives to make a larger impact in aviation data knowledge discovery.
Lara MoroApr 11, 2019Nowadays, as with society as a whole, aviation is aware and concerned about the environment. In a business-as-usual scenario, predicted traffic growth in this sector would lead to an increase of global emissions up to 22%...
Samuel CristobalMar 29, 2019The scientific method and reproducibility The scientific method has been around since at least the 17th century, if not earlier. It appeared as an empiric approach to acquiring knowledge and has driven the development of what today...
Pablo Hernandez
Darío Martínez
Damir Valput
