Tag Archives: Web 2.0

Every murder draws a crowd: Homicide Watch DC

Posted on by Ville Miettinen

“Homicide Watch DC” sounds like a cop drama, and to be honest it’s got the makings of a police procedural (especially for those of us familiar with the 5th season of The Wire ). Instead Homicide Watch is a crowdfunded, crowdsourced reporting project, covering every homicide in the District of Colombia.

This claim is so bold as to almost be suspect. More than a …

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Of Maps and Men: is Apple relying on us to fix the iPhone 5?

Posted on by Ville Miettinen

… Waze. That or go directly to the former Google Maps staff by using Google maps on your iPhone’s web browser. Somehow I don’t think this is what Apple intended.

If you can help shed some light on this issue, I’m all ears!


What Wizard Battles Can Teach Us About Crowdsourcing

Posted on by Seth W

I’d like to start with a confession: when I’m not thinking about crowdsourcing, I’m busy being a huge geek. Not trendy geek chic, unfortunately, but the old fashioned type (a trendsetter maybe?). Read on bearing this in mind.

My main vice is Magic: the Gathering , a role-play card game where players are magically-dueling wizards. The only game pieces are cards which …

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Predicting the Facebook IPO: The crowd gets it wrong

Posted on by Ville Miettinen

… probably deserves a promotion). The other correct answers came from all over the world, from Swiss web designers, Australian students and American Hockey fanatics.

In fact, it looks like experts gave the least accurate predictions. When the results are ordered by number of followers (with Chris Sacca’s 1,338,761 followers taking him and his guess of $56 to the top of the list), it becomes clear that venture capitalists, industry insiders and pundits were far too optimistic in their …

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An Eye for the Eye: Mapping Retinal Neurons with the Crowd

Posted on by Ville Miettinen

… project. The project incorporates some ingenious techniques to map the mind-bogglingly complex web of neurons in the retina.

Beginning with a series of cross sections through the retinal neurons of a flatworm, they developed a sophisticated image processing algorithm that created a 3D model of the neural network from the 2D images.

To check the accuracy of the 3D models they required something even more sophisticated than the algorithm. Realizing that the very subject of their inquiry …

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