Clickworkers

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Photo of Martian surface.

ClickWorkers was a small NASA experimental project that used public volunteers (clickworkers) for scientific tasks that require human perception and common sense, but not a lot of scientific training.

Clickworkers could work when and for how long they chose, doing routine analysis that would normally require months of work by scientists or graduate students. The web site and database were created and are being maintained by one engineer working part time, advised by two scientists. The pilot study was sponsored by the NASA Ames Director's Discretionary Fund.

[edit] Identifying Martian craters

The original phase ran from November 2000 to September 2001, identifying and classifying the age of craters on Mars images from Viking Orbiter that had already been analyzed by NASA. The goal was to answer two meta-science questions:

  1. Is the public ready, willing, and able to help science?
  2. Does this new way of powering science analysis produce results that are just as good as the traditional way?
Positions of possible craters.

In February 2001 clickworkers started processing new images from Mars Global Surveyor, surveying small craters never before catalogued. Their analysis might potentially be useful for scientists, although there are no specific plans for using it yet.

Clickworkers also searched Mars images for "honeycomb" terrain, although no further images were discovered and it is suspected that this is an illusory feature type.

As of 2007, new beta tasks are up on the Clickworker site. This time workers are being asked to help catalog Mars landforms in one of two ways. In the first task, high resolution images from the HiRISE camera on the Mars Reconnaissance Orbiter are displayed and the volunteers are to stamp areas on the image with appropriate landform types. The second task takes a different approach and displays wider field views from the older MOC camera on Mars Global Surveyor. The landforms on these wider views are then marked, and interesting features can be tagged for possible future hi-res imaging with HiRISE.

[edit] External link