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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. 


Moderators
avatar for Timo Grossenbacher

Timo Grossenbacher

Data journalist, SRF Data
Timo Grossenbacher (1987) does data research, -analysis and -visualization for SRF Data, the data-driven journalism unit of Swiss Public Broadcast (SRF). Before that, he studied Geography and Computer Science at the University of Zurich and worked for the Zurich daily newspaper „Tages-Anzeiger... Read More →

Speakers
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
R3

Attendees (61)