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Innaxis brings together leading experts for Data Science in Aviation workshop

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Nearly 60 industry experts, academics and professionals from the fields of data science and aviation gathered in Madrid on October the 15th to attend the first ComplexWorld Network’s workshop, ‘Data Science in Aviation‘.  The workshop provided the opportunity for experts in the field to  discuss ways knowledge from aviation data could be extracted in order to enhance our understanding of the air transport system’s behaviour and the complex relation among its elements.

The workshop was motivated by the challenge of extracting ground breaking insights from the large quantities of data collected in the air transport network. The aviation sector gathers and stores a large amount of unstructured, heterogeneous data – safety data and reports, flight plans, navigation data, airport data, radar tracks – from multiple sources – airlines, ANSPs and airports. While the collection of information through different data sensors is growing exponentially, the application of data science to the data has not.  The workshop looked at how to capture the new opportunities offered by the data and close the large opportunity gap between the potential offered and the current outcomes of its analysis.

Innaxis as coordinator of the ComplexWorld Network, through which the workshop was supported, led the data science in aviation workshop initiative. Innaxis brought extensive IT expertise and experience in data-science analysis techniques to the workshop. Innaxis’s expertise in these areas has been developed through the various research programmes in which it works and through its exposure to different data science applications in a variety of fields.

The outcomes of the workshop will be made available shortly. It is our hope that these outcomes, which include new research ideas and discussions from this dynamic meeting of experts, will result in greater discussion and debate around the topic from the community as a whole. So please keep in touch and check back if you’d like to be involved in the ongoing development in this area.

ATM, Aviation, Data Science