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Citizen Scientists Help Explore the Moon

Pickens writes "NPR reports that NASA's Lunar Reconnaissance Orbiter is doing such a good job photographing every bit of the moon's surface that scientists can't keep up, so Oxford astrophysicist Chris Lintott is asking amateur astronomers to help review, measure, and classify tens of thousands of moon photos streaming to Earth using the website Moon Zoo, where anyone can log on, get trained, and become a space explorer. 'We ask people to count the craters that they can see ... and that tells us all sorts of things about the history and the age of that bit of surface,' says Lintott. Volunteers are also asked to identify boulders, measure the craters, and generally classify what is found in the images. If one person does the classification — even if they're an expert — then anything odd or interesting can be blamed on them. But with multiple independent classifications, the team can statistically calculate the confidence in the classification. That's a large part of the power of Moon Zoo. Lintott adds the British and American scientists heading up the LRO project have been randomly checking the amateur research being sent in and find it as good as you would get from an expert. 'There are a whole host of scientists ... who are waiting for these results, who've already committed to using them in their own research.'"

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  1. Re:Mutual Benefit by Gadget_Guy · · Score: 5, Insightful

    I think the problem here is that it is all take and no give. Categorize our images for us! We'll give you the data "eventually".

    It sounds a bit childish, really. How can you say it is all take and no give, and then immediately say that they WILL be giving you the results, but only after it has gone through that pesky scientific process.<WHINE>But I want it now!</WHINE>

    What is the problem with waiting for the right answer? Zakabog has already pointed out that a real time display could be used maliciously, but it could even skew the results by well-intentioned people. If the first person who submits a result for a given region makes a mistake, then the next person who analyses that region might compare their results with the first and "correct" their own mistake. If you use statistics to build confidence in the results then the last thing you should do is tell the subjects what you are currently expecting them to do. That only uses statistics to compound errors.