Andrew Grey doesn't fit most people's idea of an astronomer. He works in a car repair shop, not in a lab or university, yet the Australian repairman discovered a star system hiding in data from NASA's Kepler space 26 telescope.
Mr. Grey is one of millions of citizen scientists helping researchers to expand collective understanding. For centuries, only a few ordinary people had been contributing to science, but advances in technology have brought a higher level of democratization (民主化) to science.
"This is a collaborative (合作的) effort that anyone could get involved in," says Chris Lincoln, an Oxford University astrophysicist (天体物理学家) and cofounder of Zooniverse, a platform that hosts dozens of citizen science projects. Citizen scientists can contribute to breakthroughs in almost any field, from ecology to astrophysics.
"As long as pattern recognition is involved, there are no limits to what can become a citizen science project," Dr. Linton says. "Anyone can identify patterns in images, graphs, or even seemingly boring data after a short tutorial. Machine learning allows computers to do some pattern recognition. But humans, particularly amateur scientists, don't stay focused on what they're supposed to. And that's good, because people who do that notice the unusual things in s data set.
"And citizen science doesn't have to be directed by a scientist," says Sheila Jasanoff, director of the Program on Science, Technology and Society at Harvard University. "Citizens producing knowledge in places where official organs have failed then can also be citizen scientists," she says. That's what happened in Flint, Michigan, when a local mother started drinking water tests that caused a broader investigation of lead levels.
Citizen-powered research is as old as scientific inquiry. For centuries before science became professionalized, regular people looked for patterns in the world around them. Despite a lot of advanced equipment and computer models, scientists still welcome help from everyday people.
As a professional scientist himself, Lintott says, "People think that were intelligent, but science is easy and we need your help."
