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Friday, June 29 • 15:15 - 16:15
Detecting spies in the skies – with machine learning [E]

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Of the thousands of planes in the air each day, which ones might be involved in government surveillance? This is a question that concerned Peter Aldhous from Buzzfeed News in several award-winning investigations. In 2016, he discovered mysterious patterns in Flightradar24 data and identified about 200 federal aircraft routinely circling the skies above the US – and observing the public space. A year later, he extended his research and used a machine learning model to automatically identify previously undiscovered spy planes – removing the tedious work of looking at thousands of flight paths by narrowing down the problem to a few candidates worth doublechecking.

In this keynote, Peter Aldhous will talk about his investigations, the benefits and challegens of using machine learning in journalism and what’s special about working as a science reporter for Buzzfeed News. 

avatar for Timo Grossenbacher

Timo Grossenbacher

Projektleiter «Automated Journalism», Tamedia
Timo Grossenbacher (1987) verantwortet seit Sommer 2020 Projekte im Bereich «Automated Journalism» bei Tamedia. Davor war er mehr als fünf Jahre als Datenjournalist bei Schweizer Radio und Fernsehen tätig. Er hat Geographie und Informatik an der Universität Zürich studiert und... Read More →

avatar for Peter Aldhous

Peter Aldhous

Science journalist, BuzzFeed
Peter is a reporter on the science desk at BuzzFeed News, where he aims to bring a scientific perspective to a wide variety of beats, including law enforcement, national security, and gun safety.He got his start in journalism in 1989 as a reporter for Nature in London, fresh from a PhD in animal behavior... Read More →

Friday June 29, 2018 15:15 - 16:15 BST