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河南省八市重点高中联盟2020届高三上学期英语9月“领军考试”试卷
Like infectious diseases, ideas in the academic world are epidemic (传染的). But why some travel far and wide while equally good ones has been a mystery? Now a team of computer scientists has used an epidemiological model to simulate (模仿) how ideas move from one academic institution to another. The model showed that ideas originating at famous institutions caused bigger "epidemics" than equally good ideas from less famous places, explains Allison Morgan, a computer scientist at the University of Colorado Boulder.
"This implies that where an idea is born shapes how far it spreads," says senior author Aaron Clauset.
Not only is this unfair— "it reveals a big weakness in how we're doing science," says Simon DeDeo, a professor of social and decision sciences at Carnegie Mellon university, who was not involved in the study. "There are many highly trained people with good ideas who do not end up at top institutions. They are producing good ideas, and we know those ideas are getting lost," DeDeo says. "Our science, our scholarships, is not as good because of this."
The Colorado researchers first looked at how five big ideas in computer science spread to new institutions. They found that hiring a new faculty member accounted for this movement a little more than a third of the time--and in 81 percent of those cases, transmissions took place from higher – to lower-prestige (声望) universities. Then the team simulated the spread of ideas using an infectious disease model and found that the size of an idea "epidemic" depended on the prestige of the originating institution.
The researchers' model suggests that there "may be a number of quite good ideas that originate in the middle of the pack, in terms of universities." Clauset says. There is a lot of good work coming out of less famous places, he says: "You can learn a huge amount from it, and you can learn things that other people don't know because they're not even paying attention."
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