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来源类型 | Conference Proceedings |
规范类型 | 其他 |
ISBN | 0-8330-3651-3 |
来源ID | CF-194-OSTP/SF |
The U.S. Scientific and Technical Workforce: Improving Data for Decisionmaking | |
Terrence Kelly; William Butz; Stephen J. Carroll; David M. Adamson; Gabrielle Bloom | |
发表日期 | 2004 |
出版年 | 2004 |
页码 | 134 |
语种 | 英语 |
摘要 | Concerns about the size and adequacy of the U.S. scientific, technical, engineering, and mathematics workforce have grown amid fears of a dwindling labor pool and concern that this may erode U.S. leadership in science and technology and could complicate mobilization of appropriate manpower for homeland security. In the past, such fears have failed to materialize, and surpluses have been more common than shortages. But this should not be grounds for complacency. Fundamentally, available data are inadequate for valid predictions. The RAND Corporation organized a conference to identify the limitations of the available data and explore potential improvements. The event brought together leading researchers, science agency policymakers, and statistical agency experts together to address ways to improve the data system for decisionmaking with respect to this workforce. This volume contains the proceedings of that conference, consisting of the papers delivered and discussed at the workshop, as well as RAND's synthesis of workforce data needs and opportunities for meeting those needs. |
主题 | Science and Technology ; Science ; Technology ; and Innovation Policy ; STEM Education |
URL | https://www.rand.org/pubs/conf_proceedings/CF194.html |
来源智库 | RAND Corporation (United States) |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/111336 |
推荐引用方式 GB/T 7714 | Terrence Kelly,William Butz,Stephen J. Carroll,et al. The U.S. Scientific and Technical Workforce: Improving Data for Decisionmaking. 2004. |
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1448953408517.gif(2KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
CF194.pdf(1104KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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