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Funded by the American Recovery and Reinvestment Act, the U.S. Geological Survey’s Twitter Earthquake Detector (@USGSTed) is a prototype that gathers real-time Twitter updates during seismic activities faster than scientific equipment can be tapped for more precise measurements and alerts. It examines earthquakes at an anecdotal level, and complements scientific analysis, according to the project’s overseer, Paul Earle.

At the most basic level, social media is about community building. Government agencies have adopted this mindset to varying degrees as a way to foster trust and dialogue with people. “It is truly a national town hall that has never been attempted during a disaster,” said Commander James Hoeft of the U.S. Navy, who oversees the cleanup effort’s social media team.

Really nice. Be great to see the two combined – heatmaps and topography or atleast some kind of colour banding added to the topography. That would open up all kinds of possibilities – you could slice horizontally along the bands and create layers of different ranges. In fact mixing colour and topography would also give you a way of showing two sets of data concurrently – topography for prostitution and some kind of colour banding for wealth for example.

Makes the numbers come alive. G

Brilliant work! Can you cross this data with the physical typography? I’ve always been curious if safer neighborhoods are uphill.

Some adventurous professors have used Twitter as a teaching tool for at least a few years. At a presentation at Educause in 2009, W. Gardner Campbell, director of the academy of teaching and learning at Baylor University, extolled the virtues of allowing students to pose questions to the professor and each other — an important part of the thinking and learning process — without having to raise their hands to do so immediately and aloud. And in November, a group of professors published a scientific paper suggesting that bringing Twitter into the learning process might boost student engagement and performance.

But while Lomicka and her tech-forward peers are not advocating that every college go the way of Chapel Hill, they are finding out that some relatively novel teaching technologies that are used by academics of all stripes, such as Twitter and iTunes U, are particularly useful for teaching languages.

At Emory University, language instructional content is far and away the biggest export of its public repository on iTunes U, where visitors from around the world have downloaded more than 10 million files since Emory opened the site in 2007.

They matter not at all. The mob, now mobilized, will do as it pleases. Obama can lead by example, can encourage or scold as occasion warrants, but he can not control. Not with all the King’s horses and all the King’s men.

Only a decade ago the network was all hardware and raw potential, but we are learning fast, and this learning is pervasive. Behaviors, once slowly copied from generation to generation, then, still slowly, from location to location, now ‘hyperdistribute’ themselves via the Human Network. We all learn from each other with every text we send, and each new insight becomes part of the new software of a new civilization.

We may have had great hardware, but it took a long, long time for humans to develop software which made full use of it.

The team found that students remembered the pairs much better when they first tried to retrieve the answer before it was shown to them. In a way this pretesting effect is counterintuitive:

Students were asked to read the essay and prepare for a test on it. However, in the pretest condition they were asked questions about the passage before reading it such as “What is total color blindness caused by brain damage called?” Asking these kinds of question before reading the passage obviously focuses students’ attention on the critical concepts. To control this “direction of attention” issue, in the control condition students were either given additional time to study, or the researchers focused their attention on the critical passages in one of several ways: by italicizing the critical section, by bolding the key term that would be tested, or by a combination of strategies. However, in all the experiments they found an advantage in having students first guess the answers. The effect was about the same magnitude, around 10 percent, as in the previous set of experiments.

This work has implications beyond the classroom. By challenging ourselves to retrieve or generate answers we can improve our recall. Keep that in mind next time you turn to Google for an answer, and give yourself a little more time to come up with the answer on your own.