2022
DOI: 10.3368/jhr.59.2.1219-10630r1
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Cited by 13 publications
(14 citation statements)
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“…Other notable examples include the diverse initiatives by the US National Institutes of Health (NIH) to support young scientists in gaining access to Research Project Grants (R01), for instance through the NIH's Early Stage Investigator Policy (see https://grants.nih.gov/policy/ early-stage/policy), and by establishing quotas (Kaiser, 2008) However, the gap continues to grow. The number of NIH-funded researchers aged 56 years or older is now nearly double the number who are 40 years or younger (Yu et al, 2022), throwing into sharp focus the challenges at hand-especially given the substantial increases in PhD graduates (Alberts et al, 2014). The upward shifts in median age can only be partly explained by demographic changes: In the United States, mandatory retirement in universities was eliminated in 1994, which led to more scientists sustaining careers into their late 60s The study, carried out by Marek Kwiek and Lukasz Szymula at the Adam Mickiewicz University of Poznan, Poland, used structured Scopus data on five million scientists based in OECD countries and measured academic age as the "median time elapsed since first publication".…”
Section: Age Dynamics In Sciencementioning
confidence: 99%
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“…Other notable examples include the diverse initiatives by the US National Institutes of Health (NIH) to support young scientists in gaining access to Research Project Grants (R01), for instance through the NIH's Early Stage Investigator Policy (see https://grants.nih.gov/policy/ early-stage/policy), and by establishing quotas (Kaiser, 2008) However, the gap continues to grow. The number of NIH-funded researchers aged 56 years or older is now nearly double the number who are 40 years or younger (Yu et al, 2022), throwing into sharp focus the challenges at hand-especially given the substantial increases in PhD graduates (Alberts et al, 2014). The upward shifts in median age can only be partly explained by demographic changes: In the United States, mandatory retirement in universities was eliminated in 1994, which led to more scientists sustaining careers into their late 60s The study, carried out by Marek Kwiek and Lukasz Szymula at the Adam Mickiewicz University of Poznan, Poland, used structured Scopus data on five million scientists based in OECD countries and measured academic age as the "median time elapsed since first publication".…”
Section: Age Dynamics In Sciencementioning
confidence: 99%
“…Nevertheless, despite decades and even centuries of studies into the matter, there is no clear consensus on the exact interrelationships between scientific creativity and productivity on the one hand, and age and experience on the other. The median age of the scientific workforce is increasing (Yu et al , 2022), and this raises important questions about scientific innovation and creativity, the opportunities afforded to researchers at different career stages, and the structure of academic systems.…”
Section: Figure Leonardo Da Vinci Shown Here In a Self‐portrait Was A...mentioning
confidence: 99%
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“…Packalen and Bhattacharya (2015) find that scientific papers with a young first author and a more experienced last author are more likely to try out newer ideas than papers published by other age configurations. More recently, Yu, et al (2019) look at the citations received by a large number of papers in health sciences as a function of the 'career age' of the first and last authors. They find the typical 'inverted-U' in the raw data, but steadily declining 'quality' with age once author fixed effects were used to control for unobservable inventor characteristics.…”
Section: Age Diversity and Innovation In Inventor Teamsmentioning
confidence: 99%
“…Most of this work is cross-sectional, looking at the age distribution of creators within samples of achievements. Such analysis confounds how the abilities of individuals change over their life with selection into and out of the creative activity (Yu, et al 2019). By looking at 3 million patents associated with 1.4 million inventors over the period 1976-2018, we can complement cross-sectional comparisons with fixed-effects estimation that mitigates selection issues.…”
Section: Introductionmentioning
confidence: 99%