Review: Republic Lost – How Money Corrupts Congress – and Plan to Stop It

Lawrence Lessig 5.0 out of 5 stars Diplomatically Provocative — A Foundation, Not a Structure, March 22, 2012 I come late to this book but my review will be much more detailed and useful than most others now posted, including the several that I voted for. I received it this afternoon and it has absorbed …

Robert Steele: McKinsey on Big Data & Internet of Things – Four Missing Perspectives

A May 2011 report from McKinsey, “Big data: The next frontier for innovation, competition, and productivity,” is assuredly worth reading. McKinsey Page with various download options While current commentaries, such as this February 2012 overview from The New York Times, “The Age of Big Data, focus on McKinsey’s emphasis on the explosion of data, the …

Howard Rheingold: Understanding Search Algorithms

Digital Literacy: Search Algorithms are Mechanical Turks John Jones DMLcentral, December 8, 2011 One of the most pervasive features of computing culture are algorithms, the sets of processes or instructions contained in computer code that determine how a particular task will be completed. While algorithms power everything from your automatic coffee maker to your smart …

Reference (2010): Human Intelligence (HUMINT) – All Humans, All Minds, All the Time [PDF & Full Text Online]

Human Intelligence (HUMINT): All Humans, All Minds, All the Time (US Army Strategic Studies Institute, June 2010) Short URL: http://tinyurl.com/Steele-HUMINT Below the line: full text for automated translation.  The Amazon version is published by someone else abusing my original copyright granted only to SSI. Click on cover for free PDF download, or read full text …

Howard Rheingold: Discovery Engines Trying–and Failing

Infotention “Managing attention & information” Created and curated by Howard Rheingold Discovery Engines: Policing The Riot Of Information Overload | Fast Company Taming this torrent into something manageable and highly relevant is increasingly seen as the key for Twitter, YouTube, Facebook, and any other chaotic content network looking to realize monster revenue. That explains why …