The discussion about privacy is changing as users take control over their own online data. While they spread their Web presence, these users are not looking for privacy, but for recognition as individuals -- whether by friends or vendors. This will eventually change the whole world of advertising. The current online-advertising model will become less effective, even as it gets increasingly sophisticated.... This approach (called behavioral targeting and already in service by ad networks that track users through so-called tracking cookies) undercuts traditional online publishers, who employ content to lure users and to sell adjacent ads....This does not mean that traditional online advertising will go away, just that it will become less effective. Value is being created in users' own walled gardens, which they will cultivate for themselves in real estate owned by the social networks. The new value creators are companies -- like Facebook and Dopplr -- that know how to build and support online communities.
SAN FRANCISCO (AFP) - EBay said on Tuesday it is cutting fees it charges people to offer items for sale and raising standards at the online auction website. In a move aimed at staving off increasing competition from the likes of Google and Craigslist, eBay is trimming fees it charges aspiring sellers by as much as half. This is the first time eBay has offered incentives and discounts to sellers since it was founded in 1995 by (Santa Fe Institute Trustee and) French-born Iranian computer programmer Pierre Omidyar.
SFI Trustee Michael Mauboussin (Legg Mason Capital Management) in Harvard Business Review's "Breakthrough Ideas for 2008"
(Santa Fe Institute Trustee) Michael Mauboussin says that as computing power grows and networks unleash the wisdom of crowds, the unique value of experts in making predictions and solving problems is steadily narrowing. This trend, “the expert squeeze,” doesn’t necessarily mean that expertise will become dispensable, only that organizations must change how they use experts.
Dartmouth researchers develop computational tool to untangle SFI Professor Rockmore creates a tool to untangle complex data
December 17, 2008 / SFI External Professor Daniel Rockmore and colleagues created the “partition decoupling method” (PDM) which combines the partition scrubbing method and the hierarchical spectral clustering method. The PDM would be used for decomposing the correlation networks of the markets. The end result would reveal interdependencies in the network components. This information would be useful in risk management and portfolio construction. It could also be used with complex systems other than the financial market such as the brain or political orientation.