Thursday, October 31, 2013

My day as a data dealer

A while back I stumbled upon a browser game which in some ways could be considered an attempt to gamify privacy literacy. Gamification in the context of surveillance usually means the exploitation of the pleasures of play in order to collect and sell data, i.e. in fitness or productivity apps. In a somewhat similar vein, a group of web developers/hacktivists based in Vienna, Austria, set out to make education about privacy issues more interesting and pleasurable (but I suspect they don’t want to sell the players’ data). The media reactions made me curious, so I spent one Sunday afternoon trying to experience the dark pleasures of big data.

Tuesday, October 29, 2013

Charles Raab on surveillance studies and political science

More guest author stuff (this might actually become a regular thing): Charles Raab blogging for the Political Studies Association on possible contributions of political science to surveillance studies. Not sure what astonishes me more, his - business as usual - brilliant insights or the fact that he is actually BLOGGING :)

Sunday, October 27, 2013

4S Annual Meeting - a "surveillance review"

It's been a couple weeks now since the 2013 edition of the 4S Annual Meeting took place in San Diego. Time for a quick guest author's review! The event has been the largest conference organized by the Society for Social Studies of Science so far, assembling over 1.200 attendees in the "Town and Country Resort and Convention Center", and providing the convenient possibility to relax by the pool under palm trees between the sessions.

Friday, October 25, 2013

4S recap

We've been back from 4S for a while now and I think it's time for a little recap of some of the surveillance relevant sessions -- and there were quite a few! Let's say, big data was really BIG this time; it was present even in sessions which didn't have the magic words in the title. It was pretty amazing. Matthias will guest blog about the surveillance panels (yay!), and I'll try to talk a little about the algorithms stuff (which also was about big data) (man, big data! it's everywhere!).