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Numbers tell tales on ‘Game of Thrones’

"Game of Thrones" title

“Game of Thrones,” the HBO sword-sorcery-and-sex series that begins its seventh season tonight, has spawned a geekier kind of game: doing data analytics to study who’s on top and who’ll get the ax (figuratively and literally).

The Wall Street Journal delved deeply into the data geekery last week, noting that fans have recorded the screen time and other statistics for nearly 200 notable characters over the course of the past 60 episodes. Intricate algorithms seek to correlate the characters’ characteristics with their chances of surviving the poison pens wielded by book author George R.R. Martin and the series’ screenwriters.

Indian data scientist Shail Deliwala ran the numbers and came up with several correlations. Some mesh with common sense (for example, characters with lots of dead relatives are less likely to survive), while others mesh more with literary sense (for example, the larger the attacking force, the higher the chances that the defenders will prevail).

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Clobotics revs up drone data venture with $5M

Drone inspection
A drone inspects turbines at the Sacramento Municipal Utility District’s wind farm in California’s Solano County. (SMUD via YouTube)

Small drones, big data and computer vision: That’s the tech-frontier trifecta for Clobotics, a Shanghai startup that says it’s raised $5 million in seed funding and opened a research and development center in the Seattle area.

“This is where I took the plunge,” Clobotics co-founder George Yan, a former executive at Microsoft China and the Chinese drone venture Ehang, told GeekWire.

Yan said Clobotics (“cloud” plus “robotics”) has been more than a decade in the making. The venture aims to capitalize on the capabilities of aerial robotics and artificial intelligence to automate the task of evaluating the condition of hard-to-reach infrastructure.

GGV Capital, a U.S.-Chinese venture capital firm, is leading a $5 million financing round to get Clobotics off the ground, Yan said.

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Boeing opens hip new data lab in Vancouver

Image: Boeing airplane
Boeing’s new Vancouver lab will focus on data analytics. (Credit: Boeing Canada-AeroInfo)

A Canadian subsidiary of the Boeing Co. has announced plans to open a data analytics laboratory in downtown Vancouver, B.C., to help the aerospace giant and its customers figure out how to maximize their efficiency and minimize their costs.

The downtown lab will supplement Boeing Vancouver’s operations in suburban Richmond, where 200 software engineers and data scientists are currently employed.

“The expansion represents a natural extension of Boeing Vancouver’s analytics, software development and professional consulting work,” Boeing Vancouver President Bob Cantwell said in a news release issued today. “As one of the largest analytics groups within Boeing, we are well suited to house the new Vancouver Labs, which will focus on delivering data-driven solutions at a rapidly increased pace over traditional development.”

A spokesman for the company, Mike Pound, told GeekWire that 50 data analysts would be working at the downtown location, which is in a converted warehouse on Homer Street in the Yaletown district. Moving day is due to take place next month.

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What mobile phone data can reveal about you

Image: Rwandans with phones
The mobile phone penetration rate in Rwanda is more than 70 percent. (Credit: Joshua Blumenstock)

Researchers have analyzed data about mobile phone use in Rwanda to figure out how wealthy a phone’s user is – and they say they might be able to do the same kind of analysis for any other country.

The study, published today in the journal Science, applies big-data models to look at much more than income. The Rwandan data, for example, could be massaged to predict which phone users owned a motorcycle or a TV.

Joshua Blumenstock, the study’s lead author and an information scientist at the University of Washington, is now working on a follow-up project to see how easily the computer models can be applied to places beyond Rwanda.

“In every country, we hypothesize that there’s a relationship between how people use their phone and how wealthy they are,” he said in a Science podcast. “The exact nature of that relationship is going to change from one country to another, and it might even change from one year to the next within a country. But fundamentally, you’d think that there are these relationships that exist.”

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