The 2017 Data Science in Aviation Workshop was the fifth edition of this annual workshop aimed at fostering data analytics applications in the aviation field. Year after year, we carefully select innovative initiatives in this line of research and development from both the academia and the industry. This year, the agenda included data science applications to safety, environment and predictability and presented innovative tools and techniques to support these applications (like cloud computing, smart data fusion or crypto-economics). Key topics for the aviation industry like delay management, safety incidents, fuel consumption, gas and noise emissions or maintenance where presented from a data analysis perspective.

In 2017, new entities like Tadorea, Atos or Safety Data joined the large group of entities that have presented their initiatives in the DSIAW in past editions, such as EADS, Lufthansa Systems, Boeing, Iberia, Eurocontrol and UK NATS, among many others.

Event funded by: and European Commission.


8:30-9:00 : Registration and coffee

9:00 - 10:00 : Introduction

Carlos Álvarez Pereira, Innaxis.

Werner Kleine-Beek , EASA.

10:00 - 11:00 : Data Science for Aviation Safety

11:00-11:30 : Coffee break

11:30 - 12:30 : Data Science for Environment

12:30-13:30 : Lunch break

13:30 - 14:30 : Data Science for Predictability

14:30-15:00 : Coffee break

15:00 - 16:00 : Tools and Techniques supporting Data Science

16:00 - 16:15 : Wrap up and closing

Carlos Álvarez Pereira, Innaxis.