SCISIPBIO: Examining the Career Barriers Confronting African American or Black Biomedical Scientists
SCISIPBIO:检查非裔美国或黑人生物医学科学家面临的职业障碍
基本信息
- 批准号:2152437
- 负责人:
- 金额:$ 40.82万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-08-01 至 2025-07-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
The National Institutes of Health (NIH) is the largest science funding agency in the world. Discoveries linked to NIH funding have contributed to the health and longevity of the population in the United States. NIH funding is also essential for academic careers in biomedical research fields. Several researchers have documented race and ethnicity differences in the likelihood of receiving NIH funding. However, a full account of the career challenges facing scientists from historically underrepresented groups has been hampered by a lack of access to data on science faculty linked to their publications and grants. This study will construct a dataset that identifies the race, gender, academic field, academic rank, publications, citations and grants of individual scientists by linking data on over 2 million individual faculty from Academic Analytics for the years 2009-2023, the National Science Foundation’s Survey of Earned Doctorates, NIH Reporter, the Integrated Postsecondary Education Data System (IPEDS), and web searches. These data will be used to examine race/ethnicity differences in the career paths of scientists at research-intensive universities. This study will have five specific aims. Aim 1 of this study will create the Demographic Academic Careers (DAC) data set that will be housed in a data enclave at National Center for Science and Engineering Statistics (NCSES) so that the research community can make use of this rich data to understand academic careers as well as other Science of Science Research questions. Aim 2 will document the race/ethnicity distribution of faculty at 427 research-intensive universities and medical schools across the United States and their impact on students of color. Although many researchers have examined the demographic makeup faculty of medical schools, and aggregate statistics have been reported, less attention has been given to the demographics of faculty at research institutions that train undergraduates who will become future scientists. This aim will examine whether institutions with more faculty of color produce more undergraduate and graduate students of color. Aim 3 will examine race/ethnicity differences in promotion to associate and full professor as well as the potential double-bind of gender and race/ethnicity. Research funding is considered essential for academic promotion in biomedical sciences. This study will examine whether the race/ethnicity NIH funding gaps contribute to similar academic promotion gaps. Aim 4 will examine race/ethnicity differences in the age of research independence and funding longevity. Although researchers have examined these topics in the aggregate or for women the same has not been done by race/ethnicity. The longitudinal data developed in Aim 1 is ideal for this kind of study. Aim 5 will examine gender and race/ethnicity differences in NIH R01 renewals (Type 2) awards. Researchers have documented that women and faculty of color are less likely to receive Type 2 and renewals. This project will determine whether publications, citations, prior funding, and institutional affiliations explain these differences.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
美国国立卫生研究院(NIH)是世界上最大的科学资助机构。与NIH资金有关的发现促进了美国人口的健康和寿命。 NIH资金对于生物医学研究领域的学术职业也至关重要。一些研究人员记录了获得NIH资金的可能性的种族和种族差异。但是,由于缺乏与他们的出版物和赠款相关的科学教师的数据,因此对历史上代表性不足的群体的科学家面临的职业挑战的全面说明受到了阻碍。这项研究将构建一个数据集,该数据集通过将2009 - 2023年学术分析学院的超过200万个个人教师的数据链接到国家科学基金会(National Science Foundation)的2009 - 2023年,这是个人科学家的种族,学术领域,出版物,引用和赠款,这是国家科学基金会(National Science Foundation)的调查,该调查的赢得了博士学位,NIH记者,NIH记者,NIH综合教育数据系统(Ectecondary Postectary Postected Monsed Data Systems(IPEDS)和网络搜索。这些数据将用于研究研究密集型大学科学家的职业道路上的种族/民族差异。这项研究将具有五个具体目标。本研究的目标1将创建人口学术职业(DAC)数据集,该数据集将安置在国家科学与工程统计中心(NCSES)的数据飞地中,以便研究界可以利用这些丰富的数据来了解学术职业以及其他科学研究问题。 AIM 2将记录在美国427所研究密集型大学和医学院的教师的种族/民族分布及其对有色学生的影响。尽管许多研究人员已经检查了医学院的人口统计学学院,并报告了总体统计数据,但对研究机构的教师人口统计的关注较少,这些研究机构培训了将成为未来科学家的本科生。这个目标将研究有更多有色人种的机构是否有更多的本科生和有色人种的研究生。 AIM 3将检查促进副教授和全部教授的种族/民族差异,以及性别和种族/种族的潜在双重结合。研究资金对于生物医学科学的学术促进至关重要。这项研究将检查种族/民族的NIH资金差距是否有助于类似的学术晋升差距。 AIM 4将检查研究独立性和资金寿命时代的种族/民族差异。尽管研究人员已经在总体或女性中检查了这些主题,但尚未通过种族/种族来完成。 AIM 1中开发的纵向数据是此类研究的理想选择。 AIM 5将检查NIH R01续签(2型)奖项中的性别和种族/种族差异。研究人员记录说,妇女和有色人种不太可能接受2型和续订。该项目将确定出版物,引用,先前的资金和机构分支机构是否解释了这些差异。该奖项反映了NSF的法定任务,并通过使用基金会的知识分子优点和更广泛的影响审查标准来评估被认为是宝贵的支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Donna Ginther其他文献
Donna Ginther的其他文献
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{{ truncateString('Donna Ginther', 18)}}的其他基金
Using Publication, Patent, and NSF Grant Data Linked to the Survey of Doctorate Recipients to Understand Science Career Trajectories
使用与博士学位获得者调查相关的出版物、专利和 NSF 拨款数据来了解科学职业轨迹
- 批准号:
2215606 - 财政年份:2022
- 资助金额:
$ 40.82万 - 项目类别:
Standard Grant
Collaborative Research: The Effect of State Disinvestment in Higher Education on Research Quality and Returns to Scale in Science Funding
合作研究:国家对高等教育的撤资对研究质量和科学经费规模回报的影响
- 批准号:
1854849 - 财政年份:2019
- 资助金额:
$ 40.82万 - 项目类别:
Standard Grant
EAGER: Data Infrastructure to Enhance Research on the Scientific Workforce
EAGER:加强科学劳动力研究的数据基础设施
- 批准号:
1647187 - 财政年份:2016
- 资助金额:
$ 40.82万 - 项目类别:
Standard Grant
EAGER: CeMENT as a Networking Experiment
EAGER:CeMENT 作为网络实验
- 批准号:
1547054 - 财政年份:2016
- 资助金额:
$ 40.82万 - 项目类别:
Standard Grant
Collaborative Research: Understanding Gender Differences in STEM Academic Careers
合作研究:了解 STEM 学术职业中的性别差异
- 批准号:
1538797 - 财政年份:2015
- 资助金额:
$ 40.82万 - 项目类别:
Standard Grant
Economic and Scientific Effects of Federal Investment in Chemical Sciences Research
联邦投资化学科学研究的经济和科学影响
- 批准号:
1064218 - 财政年份:2011
- 资助金额:
$ 40.82万 - 项目类别:
Standard Grant
Collaborative Research MOD: Contributions of Foreign Students to Knowledge Creation and Diffusion
合作研究MOD:外国学生对知识创造和传播的贡献
- 批准号:
0738347 - 财政年份:2007
- 资助金额:
$ 40.82万 - 项目类别:
Standard Grant
Collaborative Research: Workshop on linking NSF SED/SDR Data to Scientific Productivity
合作研究:将 NSF SED/SDR 数据与科学生产力联系起来的研讨会
- 批准号:
0725475 - 财政年份:2007
- 资助金额:
$ 40.82万 - 项目类别:
Standard Grant
Gender Differences in Employment Outcomes for Academics in Science and Social Science
科学和社会科学学者就业结果的性别差异
- 批准号:
0353703 - 财政年份:2004
- 资助金额:
$ 40.82万 - 项目类别:
Continuing Grant
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