Science's Cultural Fuse | The Economist
David Vogt in Digital Learning
Captured on 27 Oct 2011 from www.economist.com
The article below about how astronomers are making effective use of public volunteers on the Internet reminds me of the humility intended by Dylan Thomas's famous poem, "The force that through the green fuse drives the flower."
First, bravo to Astronomy! Scientists are drowning in observational data, and computers can't (yet) help them analyse it fully, so many clever (and PR-minded) researchers are outsourcing their excess work as digital data adventures for willing volunteers across the globe. Brilliant!
If only other science disciplines could see this light! The best inspiration isn't that real people can help, it is that raw data - which is practically inedible even for scientists - can be treated and packaged in interesting and nutritious ways for general consumption. Adding such value isn't a trivial thing to do - astronomers are just a few giant steps ahead of their colleagues in understanding and employing people power.
However, as smart as harnessing parallel public processors might be, science could benefit even more from the social web. Let's start by being a bit sceptical about science itself. From grade school on we're taught an incorrect theory about how science works. The model in our heads is that each new generation of scientists discovers evidence that helps them correct the mistakes of previous scientists. We’re taught to imagine Truth as an objective mountain that humankind is slowly climbing.
But that's not what's actually happening. The simplest evidence refuting this theory can be found in any university library by browsing scientific journals from a century ago. It becomes immediately apparent that past researchers weren't "wrong" so much as that we simply don't care anymore about most of the big questions that motivated them. Human culture has moved on at least as much as science. In other words, Truth is an evolving quest borne from a strange loop relationship between Ourselves and Nature. Human culture is the force that through the scientific fuse drives discovery.
Once we realize this fact, we can connect it to the biggest push in modern business: social media analytics. Companies used to be able to wait for months or years to understand consumer trends, but not now. Having your finger immediately on the public pulse is good for every bottom line.
So, could scientists stay ahead of competing labs by monitoring Twitter streams? Absolutely, but the opportunity goes much deeper than this. The cooperative Astronomy described in the following article is really about “participative sensing”, or applying the special skills that every average human being has to perceive patterns as a means of augmenting the performance of computers. Those same special skills also enable each one of us to perceive patterns of meaning on much broader spectra, so that completely average people could also augment the performance of the scientists themselves.
How? Scientists aren’t as objective as they think. Their daily existence allows them to absorb popular culture, albeit inefficiently. It’s difficult to appreciate how a random social event, such as a family conversation and a simple question about your work, can easily inspire your most profound revelation.
Social networking is about engaging a global conversation. Scientists and science projects can therefore cultivate such conversations in order to absorb and resonate with culture in a systematic way, applying the network effect to their currently serendipitous, individual inspiration pathways.
And no, it isn’t easy. But it isn’t rocket science either. The scientists that figure this out first will go a long way.
David
Citizen astronomy
A new world in your bedroom
Amateur astronomers join the ranks of the planet hunters
Oct 1st 2011 | from the print edition
IN AN age of professionals, the ability of amateur scientists to make meaningful contributions has almost vanished. Almost, but not quite. The internet allows professionals to make their data available for analysis by anyone, and some are happy to take advantage of the free labour this promises. This approach has proved particularly fruitful in astronomy, a science with a long history of amateur contributions. Armchair astronomers have already helped classify galaxies seen by Hubble, the main orbiting telescope of America’s space agency, NASA. They have also looked for interesting asteroids, and kept an eye out for solar storms.
The latest project to involve them, called Planet Hunters, allows amateurs to search for extrasolar planets—those that orbit stars other than the sun. It was set up by a group at the universities of Oxford and Yale, and links 40,000 participants with data gathered by Kepler, another NASA space telescope that is specifically designed to hunt for planets. On September 26th the group announced, in a paper posted to arXiv, an online database, that its participants had discovered two probable exoplanets, one a Jupiter-like gas giant, and the other, possibly, a smaller, rocky world about twice the diameter of Earth.
Kepler works by monitoring the thousands of stars in its field of view for tiny changes in brightness. Mostly, these are natural fluctuations, but particularly sharp and regular changes might signify a planet passing in front of a star. The raw data are sent to computers on Earth, converted into graphical form and made available to the Planet Hunters. After logging onto the project’s website, its users are given a brightness graph from a random star and asked to mark anything of interest. If several people flag the same star, the result is checked against the computer-derived results produced by the main Kepler team. Promising candidates are then checked again by ground-based telescopes.
That allows Planet Hunters’ participants both to act as a benchmark for the star-detection algorithms and to discover planets the computers have missed, says Chris Lintott, an astronomer at Oxford who helps to run the project. What people lack in speed (the computers have already notched up over 1,200 candidate planets since Kepler was launched) they make up for in judgment. Some stars being watched have very variable brightness. That is confusing for computers, but for human eyes is less of a problem. And input from the human planet hunters is used to refine the algorithms, improving their performance.
Planet Hunters grew out of Galaxy Zoo, which was set up in 2007 to help researchers classify galaxies spotted by Hubble—just the sort of fuzzy task that machines struggle with but humans excel at. Galaxy Zoo spawned the Zooniverse, a collection of science projects that harness the power of amateurs. Although astronomical projects still dominate, other sciences are starting to adopt the idea. One Zooniverse project aims to reconstruct weather records from old Navy logs; another is helping to transcribe a cache of Egyptian papyri dating from the 1st century AD. Dr Lintott and his colleagues have asked researchers in other fields to submit more ideas, and hope to announce the shortlist in a few weeks’ time.
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