i202 Fall 2010 School of Information, UC Berkeley

 http://www.newyorker.com/reporting/2010/09/20/100920fa_fact_vargas

This article, published in the New Yorker, paints a humble portrait of the co-founder and CEO of Facebook, Mark Zuckerberg.  In the article, Zuckerberg discusses his desire to create a more open, honest, and transparent world through Facebook.  

Several weeks ago, the Oxford University Press conceded that because of the internet, there probably won't be a physical print version of the next edition of the Oxford English Dictionary: http://www.telegraph.co.uk/culture/books/booknews/7970391/Oxford-English-Dictionary-will-not-be-printed-again.html

http://chronicle.com/article/Googles-Book-Search-A/48245/

I dug up this almost year old op-ed published in The Chronicle of higher education because it highlights some of the most challenging problems associated with metadata, classification and describing collections.

I came across the following article: "Ev Williams: Twitter Will Actually Help Information Overload" 

http://gigaom.com/2010/09/02/ev-williams-twitter-will-actually-help-information-overload/

GMO salmon is under review for FDA approval.  This news has given rise to the classic debates over food labeling and the system for governing it.

http://googleblog.blogspot.com/2010/09/google-health-update.html

http://www.nytimes.com/2010/09/16/fashion/16meme.html?_r=1&ref=fashion

Strategic Content Management - Jonathan Kahn

Taking us back to the old ways of gathering information, web search companies are now tapping the power of immediate social circles instead of social networks to suggest answers to any question we might have. With virtually endless information available to us on the internet, companies have been trying to hone in on how best to present us with information that interests us, and how to make money from it.

In the age of information huge datasets aren't hard to come by. Everyone is trying to make sense of the rampant information made available to them. One of the largest (at least in terms of potential size) datasets to be analyzed is — somewhat ironically — the universe. It's big.