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In a world of rapidly accelerating change, from iPads to eBooks to genetic mapping to MagLev trains, we can't help but wonder if technology is our servant or our master, and whether it is taking us in a healthy direction as a society.* What forces drive the steady march of innovation?* How can we build environments in our schools, our businesses, and in our private lives that encourage the creation of new ideas--ideas that build on the new technology platforms in socially responsible ways?Kevin Kelly and Steven Johnson look at where technology is taking us. One of the co-founders of Wired Magazine, Kelly's new book, What Technology Wants, makes the argument that technology as a whole is not a jumble of wires and metal but a living, evolving organism that has its own unconscious needs and tendencies. Johnson's new book, Where Good Ideas Come From, explains why certain spaces, from 18th-century coffeehouses to the World Wide Web, have an uncanny talent for encouraging innovative thinking.

When we talk about participation, we have to be a bit more specific. On the publishing side, there's clearly more participation than we've ever seen in the past. But in order for this tidal wave of information to be useful, we need to be able to separate fact from fiction. We need to encourage participation on the receiving end. What we need is evaluating participation. With the breadth of niche information and sources we have the ability to get at the best of what is known on a myriad of topics and contexts. Every niche has its experts and its hacks, its enthusiasts and detractors. But for the remaining 95% of us who are not subject matter experts, deriving the accurate or useful information from the sea of what is available can be complicated, time-consuming and simply unverifiable. We need a way to quantify the value of information, or more specifically, the veracity of information.

ScienceDaily (Mar. 7, 2011) - Despite the fears of some, a new study suggests that use of the internet in general does not make people more likely to believe political rumors.

A new new brain imaging system that can identify a subject's simple thoughts may lead to clearer diagnoses for Alzheimer's disease or schizophrenia - as well as possibly paving the way for reading people's minds. Michael Greicius at Stanford University in California and colleagues used functional magnetic resonance imaging (fMRI) to identify patterns of brain activity associated with different mental states. He asked 14 volunteers to do one of four tasks: sing songs silently to themselves; recall the events of the day; count backwards in threes; or simply relax. Participants were given a 10-minute period during which they had to do this. For the rest of that time they were free to think about whatever they liked. The participants' brains were scanned for the entire 10 minutes, and the patterns of connectivity associated with each task were teased out by computer algorithms that compared scans from several volunteers doing the same task. This differs from previous experiments, in which the subjects were required to perform mental activities at specific times and the scans were then compared with brain activity when they were at rest. Greicius reasons his method encourages "natural" brain activity more like that which occurs in normal thought.