(p. D3) Miracle vaccines. Videophones in our pockets. Reusable rockets. Our technological bounty and its related blur of scientific progress seem undeniable and unsurpassed. Yet analysts now report that the overall pace of real breakthroughs has fallen dramatically over the past almost three-quarters of a century.
This month in the journal Nature, the report’s researchers told how their study of millions of scientific papers and patents shows that investigators and inventors have made relatively few breakthroughs and innovations compared with the world’s growing mountain of science and technology research. The three analysts found a steady drop from 1945 through 2010 in disruptive finds as a share of the booming venture, suggesting that scientists today are more likely to push ahead incrementally than to make intellectual leaps.
“We should be in a golden age of new discoveries and innovations,” said Michael Park, an author of the paper and a doctoral candidate in entrepreneurship and strategic management at the University of Minnesota.
. . .
The new method looks at citations more deeply to separate everyday work from true breakthroughs more effectively. It tallies citations not only to the analyzed piece of research but to the previous studies it cites. It turns out that the previous work is cited far more often if the finding is routine rather than groundbreaking. The analytic method turns that difference into a new lens on the scientific enterprise.
The measure is called the CD index after its scale, which goes from consolidating to disrupting the body of existing knowledge.
Dr. Funk, who helped to devise the CD index, said the new study was so computationally intense that the team at times used supercomputers to crunch the millions of data sets. “It took a month or so,” he said. “This kind of thing wasn’t possible a decade ago. It’s just now coming within reach.”
The novel technique has aided other investigators, such as Dr. Wang. In 2019, he and his colleagues reported that small teams are more innovative than large ones. The finding was timely because science teams over the decades have shifted in makeup to ever-larger groups of collaborators.
In an interview, James A. Evans, a University of Chicago sociologist who was a co-author of that paper with Dr. Wang, called the new method elegant. “It came up with something important,” he said. Its application to science as a whole, he added, suggests not only a drop in the return on investment but a growing need for policy reform.
“We have extremely ordered science,” Dr. Evans said. “We bet with confidence on where we invest our money. But we’re not betting on fundamentally new things that have the potential to be disruptive. This paper suggests we need a little less order and a bit more chaos.”
For the full story see:
(Note: ellipses added.)
(Note: the online version of the story has the date Jan. 17, 2023 [sic], and has the same title as the print version.)
For Nature paper mostly discussed in the passages quoted above is:
The paper on team size, and co-authored by Wang, is: