Saturday, August 7, 2010

Thursday, August 5, 2010

Wednesday, August 4, 2010

Did I do these already?


How many Marxists does it take to screw in a lightbulb?

None: the lightbulb contains the seeds of its own revolution.


How many debutantes does it take to screw in a lightbulb?

A cotillion.


How many Alzheimer's patients does it take to screw in a lightbulb?

To get the the other side.


One.

How many psychics does it take to change a lightbulb?


How many Irish grandmothers does it take to change a lightbulb?

Ah don't you worry now. You go out and have fun, I'll just sit here in the dark.


How does it change many dyslexics to take a lightbulb?


How many Mystery writers does it take to screw in a lightbulb?

Two. One to screw it most of the way in, and the other to give it a surprising twist at the end!


How many people from a particular demographic does it take to perform a specified task?

A finite number. One to perform the specified task and the others to behave in a manner stereotypical of that particular demographic.

Science vs. Journalism

Science:
http://www.nature.com/nature/journal/v466/n7307/full/nature09304.html
People exert large amounts of problem-solving effort playing computer games. Simple image- and text-recognition tasks have been successfully ‘crowd-sourced’ through games1, 2,3, but it is not clear if more complex scientific problems can be solved with human-directed computing. Protein structure prediction is one such problem: locating the biologically relevant native conformation of a protein is a formidable computational challenge given the very large size of the search space. Here we describe Foldit, a multiplayer online game that engages non-scientists in solving hard prediction problems. Foldit players interact with protein structures using direct manipulation tools and user-friendly versions of algorithms from the Rosetta structure prediction methodology4, while they compete and collaborate to optimize the computed energy. We show that top-ranked Foldit players excel at solving challenging structure refinement problems in which substantial backbone rearrangements are necessary to achieve the burial of hydrophobic residues. Players working collaboratively develop a rich assortment of new strategies and algorithms; unlike computational approaches, they explore not only the conformational space but also the space of possible search strategies. The integration of human visual problem-solving and strategy development capabilities with traditional computational algorithms through interactive multiplayer games is a powerful new approach to solving computationally-limited scientific problems.


Journalism:

Gamers beat algorithms at finding protein structures


Tuesday, August 3, 2010