Cognitive Overload -> I'll explain what that means and why I chose that name ... soon ... very soon ... but right now I'm still trying to filter out the noise from the signal in incoming data and information.
Although I prefer writing and speaking French, most of this site is written in English for purely pragmatic concerns: more people read and understand English as opposed to French (including almost everyone that I know).
Signal vs. Noise
“We are drowning in information but starved for knowledge”
In 2002, it is estimated that 5 Exabytes of new information (of all kinds) was produced in the world. If printed, this would equate to a stack of books as long as 150 times the distance from the earth to the moon. It is also estimated that 5 Exabytes is equivalent to all words ever spoken by human beings as of 2002. At that time, information production doubled every 3 years (there are many sources for this transformed information but have a look at How Much Information? 2000 and How Much Information? 2003).
So, what's the point?
In essence, we know (or believe) that IT (Information Technologies) and new media in general (along with their forerunner, broadcasting) have been the primary means in creating this age of signal (and noise), data and information abundance (overload?).
But if IT (or ICTs - Information and Communications Technologies) can be seen as a culprit in this emergent situation, it also affords the means to assist humans in processing signals in more efficient ways (i.e. help in filtering out the noise from the intended signals).
So partly because of this and, also in some measure due to personal interests, I have realigned my professional activities from a Computational Fluid Dyamics focus to a more general information filtering focus (mostly in what is termed e-learning).