Author: Sander Timmer

PhD student in computational genetics at Cambridge University and EMBL-European Bioinformatics Institute
Great piece of infographics by the +The Guardian! They visualised all the mortality data of the last century from all over the world and put it in some fancy infographics. A proper 6 by 2 meters print is also on show in the +Wellcome Collection.

Great piece of infographics by the +The Guardian! They visualised all the mortality data of the last century from all over the world and put it in some fancy infographics. A proper 6 by 2 meters print is also on show in the +Wellcome Collection.

Read the article http://goo.gl/bfBB7

 
Great piece of infographics by the +The Guardian! They visualised all the mortality data…

Great piece of infographics by the +The Guardian! They visualised all the mortality data…

Great piece of infographics by the +The Guardian! They visualised all the mortality data of the last century from all over the world and put it in some fancy infographics. A proper 6 by 2 meters print is also on show in the +Wellcome Collection.  

Read the article http://goo.gl/bfBB7

Study from Microsoft Research in PNAS shows that when using public like data from Facebook you can build a whole profile about that person and can pretty accurately predict someone's race, religion and personality.

Study from Microsoft Research in PNAS shows that when using public like data from Facebook you can build a whole profile about that person and can pretty accurately predict someone's race, religion and personality.

So be afraid off all these +Hello Kitty likers, they are instable 😉
http://goo.gl/AANnk

#facebook #microsoftresearch #like

Private traits and attributes are predictable from digital records of human behavior
Abstract We show that easily accessible digital records of behavior, Facebook Likes, can be used to automatically and accurately predict a range of highly sensitive personal attributes including: sexu…

Study from Microsoft Research in PNAS shows that when using public like data from…

Study from Microsoft Research in PNAS shows that when using public like data from…

Study from Microsoft Research in PNAS shows that when using public like data from Facebook you can build a whole profile about that person and can pretty accurately predict someone's race, religion and personality. 

So be afraid off all these +Hello Kitty likers, they are instable 😉 
http://goo.gl/AANnk

#facebook   #microsoftresearch   #like  

Private traits and attributes are predictable from digital records of human behavior
Abstract We show that easily accessible digital records of behavior, Facebook Likes, can be used to automatically and accurately predict a range of highly sensitive personal attributes including: sexu…