Collaborative Research: Examining the effects of academic mobility on individual professors’ research activity and institutional human capital at HBCUs
合作研究:考察学术流动性对 HBCU 教授个人研究活动和机构人力资本的影响
基本信息
- 批准号:2122691
- 负责人:
- 金额:$ 19.11万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-09-01 至 2024-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2).HBCUs comprise 3 percent of higher education institutions in the United States but make substantial contributions to the preparation of Black professionals. Despite these achievements, HBCUs, since the 1960s, often lose the battle with non-HBCUs for the most talented Black students and faculty, causing a “brain drain” from HBCUs. Because of social mobility and civil rights movements in the past few decades, the need to investigate academic mobility of faculty at HBCUs is ever-increasing. The goal of this project is to examine two forms of effects of academic mobility. The first is the effect at the institution level, measuring the potential brain drain from HBCUs. The second is the effect at the individual faculty level, assesses the impact of academic moves on their career advancement. Results from this large-scale, longitudinal analysis will provide important evidence regarding the career paths of professors at HBCUs, including those moving to other HBCUs and those moving to other types of institution. This project will identify and seek to understand factors associated with mobility and retention decisions for HBCU faculty and provide data-backed evidence to support a diverse, inclusive, and equitable scientific workforce. The project will collect faculty affiliation data from 35 HBCUs with master- or doctoral-level programs. It will use Internet Archive as the primary data source and LinkedIn, ORCID, and ProQuest as secondary data sources. The project will link large, heterogeneous corpora of faculty affiliation data, Carnegie Classification institution profile data, Web of Science publication and citation data, and survey and interview data. The linked data will be used to conduct expansive, cross-domain examinations of the impact of academic moves on individual professors’ research activity and institutional human capital. The project will employ statistical modeling and historical comparisons in combination with surveys and interviews. The combination of quantitative and qualitative results will provide evidence concerning both the causes of institutional human capital change at HBCUs and the effect of moves on professors’ research activities. This project will contribute new knowledge on academic mobility, particularly for minority-serving institutions (MSIs). The project will design an interactive visual dashboard to share project outputs broadly. The visual dashboard will be updated annually in September for three additional years beyond the conclusion of the project. The results of this project will provide insights for administrators and policy makers.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.
该奖项的全部或部分资金来自《2021年美国救援计划法案》(公法117-2)。HBCU占美国高等教育机构的3%,但在培养黑人专业人才方面做出了重大贡献。尽管取得了这些成就,但自20世纪60年代以来,HBCU经常在与非HBCU争夺最有才华的黑人学生和教师的战斗中失利,导致HBCU的“人才流失”。由于过去几十年的社会流动性和民权运动,调查HBCU教职员工学术流动性的必要性越来越大。这个项目的目标是考察学术流动的两种形式的影响。首先是机构层面的影响,衡量HBCU的潜在人才外流。第二个是教师个人层面的影响,评估学术变动对他们职业发展的影响。这一大规模纵向分析的结果将为HBCU教授的职业道路提供重要证据,包括那些转到其他HBCU的教授和那些转到其他类型机构的教授。该项目将确定并寻求了解与HBCU教师流动和留任决策相关的因素,并提供数据支持的证据,以支持多样化、包容性和公平的科学劳动力。该项目将从35所拥有硕士或博士学位的HBCU收集教职数据。它将使用互联网档案作为主要数据源,使用LinkedIn、ORCID和ProQuest作为次要数据源。该项目将连接教员隶属关系数据、卡内基分类机构概况数据、科学网出版物和引文数据以及调查和采访数据的大型、不同种类的语料库。这些关联数据将被用于对学术变动对教授个人研究活动和机构人力资本的影响进行广泛的、跨领域的审查。该项目将采用统计建模和历史比较,并结合调查和访谈。定量和定性结果的结合将为HBCU机构人力资本变化的原因和迁移对教授研究活动的影响提供证据。该项目将提供有关学术流动的新知识,特别是对少数群体服务机构(MSI)。该项目将设计一个互动的可视仪表板,以广泛分享项目成果。视觉仪表盘将在9月份每年更新,在项目结束后再延长三年。该项目的结果将为管理者和政策制定者提供见解。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(0)
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Jiangen He其他文献
Analyzing academic mobility of U.S. professors based on ORCID data and the Carnegie Classification
基于ORCID数据和卡内基分类分析美国教授的学术流动性
- DOI:
10.1162/qss_a_00088 - 发表时间:
2020 - 期刊:
- 影响因子:6.4
- 作者:
E. Yan;Yongjun Zhu;Jiangen He - 通讯作者:
Jiangen He
The typology of technology clusters and its evolution — Evidence from the hi-tech industries
技术集群的类型及其演化——来自高科技产业的证据
- DOI:
10.1016/j.techfore.2011.01.005 - 发表时间:
2011 - 期刊:
- 影响因子:0
- 作者:
Jiangen He;M. Hosein Fallah - 通讯作者:
M. Hosein Fallah
Quantifying Individual Research's Distance from the Trends based on Dynamic Topic Modeling
基于动态主题建模量化个体研究与趋势的距离
- DOI:
10.1002/pra2.718 - 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Jie Meng;Wen Lou;Jiangen He - 通讯作者:
Jiangen He
Innovation Network and Performance of Technology Clusters: Evidence from Communication Equipment Manufacturing
技术集群的创新网络与绩效:来自通信设备制造的证据
- DOI:
10.1109/icmss.2009.5304019 - 发表时间:
2009 - 期刊:
- 影响因子:0
- 作者:
Yong Yang;M. Fallah;Jiangen He - 通讯作者:
Jiangen He
Scientific Convergence and Divergence in Visualization and Visual Analytics
可视化和可视化分析中的科学趋同与分歧
- DOI:
10.2312/evp.20221105 - 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Jiangen He - 通讯作者:
Jiangen He
Jiangen He的其他文献
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