ArticlePNAS nexus2025
Resilience of science after austerity.
Article in PNAS nexus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In 2009, many governments implemented austerity measures. This often resulted in restrictions on science funding, increasing competition for funds. Here, we study the allocation of funding across universities by using a competitiveness measure from complexity science based on the bipartite network of universities and scientific subjects. Drawing on a comprehensive data set of 43,430 UK-funded grants between 2006 and 2020, a period covering the onset and relaxation of austerity, we provide two main results. First, we find that the effect of austerity on university grant income depended on research competitiveness: highly competitive universities increased grant income under austerity, while low-ranked universities lost income. Then, we study the resilience of science to austerity exploiting the natural experiment arising from the 2015 UK general election, when austerity was relaxed unexpectedly. We discover that the resilience of researchers at less competitive universities was surprisingly high. The number and size of grant applications grew more after 2015 at less competitive universities, increasing their grant income. Overall, results show that our network-based measure is a better proxy for research competitiveness than aggregate grant income across scientific subjects.
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Registered trials
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