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The decline of disruptive science and technology

Social and Information Networks · Submitted 21 Jun 2021

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim Overall, our results suggest that slowing rates of disruption may reflect a fundamental shift in the nature of science and technology.

how it is stated · hedged possibility 1.00 read the record →

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arXiv ID2106.11184 (version 5)
Pith IDE5FTEUN7, Pith's permanent record of this paper and its review
CitationErin Leahey, Michael Park, Russell Funk. "The decline of disruptive science and technology." arXiv:2106.11184 (2021). https://pith.science/paper/E5FTEUN7
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The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 6,274 input tokens.

What the abstract itself states, as probabilities: claims first 0.05 · states limitation 0.32 · human participants 0.04 · controlled comparison 0.08 · randomized assignment 0.01 · states quantitative result 0.47 · compares with prior results 0.49 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v5. Results and the main claim are underlined; .

Theories of scientific and technological change view discovery and invention as endogenous processes, wherein prior accumulated knowledge enables future progress by allowing researchers to, in Newton's words, "stand on the shoulders of giants". Recent decades have witnessed exponential growth in the volume of new scientific and technological knowledge, thereby creating conditions that should be ripe for major advances. Yet contrary to this view, studies suggest that progress is slowing in several major fields of science and technology. Here, we analyze these claims at scale across 6 decades, using data on 45 million papers and 3.5 million patents from 6 large-scale datasets. We find that papers and patents are increasingly less likely to break with the past in ways that push science and technology in new directions, a pattern that holds universally across fields. Subsequently, we link this decline in disruptiveness to a narrowing in the use of prior knowledge, allowing us to reconcile the patterns we observe with the "shoulders of giants" view. We find that the observed declines are unlikely to be driven by changes in the quality of published science, citation practices, or field-specific factors. Overall, our results suggest that slowing rates of disruption may reflect a fundamental shift in the nature of science and technology.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 Theories of scientific and technological change view discovery and invention as endogenous processes, wherein prior accumulated knowledge enables future progress by allowing researchers to, in Newton's words, "stand on the shoulders of giants". background 1.00 0.03 0.02 asserted 1.00
s1 Recent decades have witnessed exponential growth in the volume of new scientific and technological knowledge, thereby creating conditions that should be ripe for major advances. background 1.00 0.06 0.02 asserted 0.92
s2 Yet contrary to this view, studies suggest that progress is slowing in several major fields of science and technology. background 0.89 0.05 0.06 hedged possibility 0.96
s3 Here, we analyze these claims at scale across 6 decades, using data on 45 million papers and 3.5 million patents from 6 large-scale datasets. method 0.87 0.95 0.02 asserted 0.91
s4 We find that papers and patents are increasingly less likely to break with the past in ways that push science and technology in new directions, a pattern that holds universally across fields. result 1.00 0.97 0.81 asserted 1.00
s5 Subsequently, we link this decline in disruptiveness to a narrowing in the use of prior knowledge, allowing us to reconcile the patterns we observe with the "shoulders of giants" view. interpretation 0.72 0.92 0.33 asserted 0.93
s6 We find that the observed declines are unlikely to be driven by changes in the quality of published science, citation practices, or field-specific factors. result 0.98 0.92 0.08 asserted 0.65
s7 Overall, our results suggest that slowing rates of disruption may reflect a fundamental shift in the nature of science and technology. interpretation 1.00 0.73 0.77 hedged possibility 1.00

What kind of paper the classifier reports this is: empirical study 1.00 · evidence from analysis of existing data 1.00.

What was examined, and what was not

sources read
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  • references and citing sentences
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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

Theories of scientific and technological change view discovery and invention as endogenous processes, wherein prior accumulated knowledge enables future progress by allowing researchers to, in Newton's words, "stand on the shoulders of giants". Recent decades have witnessed exponential growth in the volume of new scientific and technological knowledge, thereby creating conditions that should be ripe for major advances. Yet contrary to this view, studies suggest that progress is slowing in several major fields of science and technology. Here, we analyze these claims at scale across 6 decades, using data on 45 million papers and 3.5 million patents from 6 large-scale datasets. We find that papers and patents are increasingly less likely to break with the past in ways that push science and technology in new directions, a pattern that holds universally across fields. Subsequently, we link this decline in disruptiveness to a narrowing in the use of prior knowledge, allowing us to reconcile the patterns we observe with the "shoulders of giants" view. We find that the observed declines are unlikely to be driven by changes in the quality of published science, citation practices, or field-specific factors. Overall, our results suggest that slowing rates of disruption may reflect a fundamental shift in the nature of science and technology.

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