Powerful numbers: Exemplary quantitative studies of science that had policy impact
AbstractMuch scientometric research aims to be relevant to policy, but such research only rarely has a notable policy impact. In this paper, we examine four exemplary cases of policy impact from quantitative studies of science. The cases are analyzed in light of lessons learned about...
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Format: | Article |
Language: | English |
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The MIT Press
2020-01-01
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Series: | Quantitative Science Studies |
Online Access: | https://direct.mit.edu/qss/article/1/3/969/96091/Powerful-numbers-Exemplary-quantitative-studies-of |
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author | Diana Hicks Kimberley R. Isett |
author_facet | Diana Hicks Kimberley R. Isett |
author_sort | Diana Hicks |
collection | DOAJ |
description |
AbstractMuch scientometric research aims to be relevant to policy, but such research only rarely has a notable policy impact. In this paper, we examine four exemplary cases of policy impact from quantitative studies of science. The cases are analyzed in light of lessons learned about the use of evidence in policy making in health services, which provides very thorough explorations of the problems inherent in policy use of academic research. The analysis highlights key dimensions of the examples, which offer lessons for those aspiring to influence policy with quantitative studies of science. |
first_indexed | 2024-12-11T15:13:29Z |
format | Article |
id | doaj.art-cb3b254b1d0e4bb68bcc3799464c397f |
institution | Directory Open Access Journal |
issn | 2641-3337 |
language | English |
last_indexed | 2024-12-11T15:13:29Z |
publishDate | 2020-01-01 |
publisher | The MIT Press |
record_format | Article |
series | Quantitative Science Studies |
spelling | doaj.art-cb3b254b1d0e4bb68bcc3799464c397f2022-12-22T01:00:40ZengThe MIT PressQuantitative Science Studies2641-33372020-01-011396998210.1162/qss_a_00060Powerful numbers: Exemplary quantitative studies of science that had policy impactDiana Hicks0Kimberley R. Isett1School of Public Policy, Georgia Institute of Technology, Atlanta, GA 30332Joseph R. Biden Jr. School of Public Policy and Administration, Newark, DE 19711 AbstractMuch scientometric research aims to be relevant to policy, but such research only rarely has a notable policy impact. In this paper, we examine four exemplary cases of policy impact from quantitative studies of science. The cases are analyzed in light of lessons learned about the use of evidence in policy making in health services, which provides very thorough explorations of the problems inherent in policy use of academic research. The analysis highlights key dimensions of the examples, which offer lessons for those aspiring to influence policy with quantitative studies of science.https://direct.mit.edu/qss/article/1/3/969/96091/Powerful-numbers-Exemplary-quantitative-studies-of |
spellingShingle | Diana Hicks Kimberley R. Isett Powerful numbers: Exemplary quantitative studies of science that had policy impact Quantitative Science Studies |
title | Powerful numbers: Exemplary quantitative studies of science that had policy impact |
title_full | Powerful numbers: Exemplary quantitative studies of science that had policy impact |
title_fullStr | Powerful numbers: Exemplary quantitative studies of science that had policy impact |
title_full_unstemmed | Powerful numbers: Exemplary quantitative studies of science that had policy impact |
title_short | Powerful numbers: Exemplary quantitative studies of science that had policy impact |
title_sort | powerful numbers exemplary quantitative studies of science that had policy impact |
url | https://direct.mit.edu/qss/article/1/3/969/96091/Powerful-numbers-Exemplary-quantitative-studies-of |
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