The Value of Science: Special Theme
The Value of Science: Special Theme
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科学的价值:特别主题
DOI:
10.1162/99608f92.4a01213d
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发表时间:
2022
期刊:
影响因子:
--
通讯作者:
Nunez, Allison
中科院分区:
文献类型:
--
作者:
Lane, Julia;Kim, Brian;Kreuter, Frauke;Nunez, Allison
Improving the quality of data that can be used for evidence building has been a major focus in many countries. In the United States, at the federal level, passage of Public Law 115-435, known as the Foundations for Evidence-Based Policymaking Act of 2018 or the “Evidence Act,” and the Federal Data Strategy have galvanized government agencies and the academic community. As the House Committee on Oversight and Government Reform pointed out in 2015,“Without evidence, the federal government is an ineffective fiduciary on behalf of the taxpayer. Unfortunately, in many instances, federal decision-makers do not have access to the data necessary to best inform decisions. In such instances, agencies are unable to show the benefits or impacts of the programs they administer and cannot determine what, if any, unintended consequences are created by programs, or whether programs can be improved”(HR Rep. No. 114-211, 2015).Much can be learned about how to make investments in evidence from the experience of investments in the science of science. Almost 20 years ago, then Presidential Science Advisor John Marburger noted to the National Science Board:“I am not at all confident that the right questions are being asked or answered to provide guidance for action. We have workforce data that I do not understand how to use, and we have workforce questions whose answers would seem to require more than merely data”(Marburger III, 2011). The response of the federal government was to invest in data and evidence about the science and engineering enterprise with the establishment of the Science of Science and Innovation Policy (SciSIP) program and the Science and Technology for America's Reinvestment: Measuring the Effect of Research on Innovation, Competitiveness and Science (STAR METRICS) at the National Science Foundation (Teich, 2018) Philanthropic foundations—particularly the Alfred P. Sloan and Ewing Marion Kauffman Foundation—subsequently invested in the UMETRICS data infrastructure at the Institute for Research on Innovation and Science (IRIS) at the University of Michigan (IRIS, 2021; Lane et al., 2015).