Collaborative Research: Examining the effects of academic mobility on individual professors' research activity and institutional human capital at HBCUs

Historically Black Colleges and Universities (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.

Principal Investigators

Erjia Yan

Erjia Yan (PI)

Associate Professor

Drexel University
Robert Palmer

Robert Palmer (co-PI)

Full Professor

Howard University
Mat Kelly

Mat Kelly (co-PI)

Assistant Professor

Drexel University
Jiangen He

Jiangen He (co-PI)

Assistant Professor

University of Tennessee - Knoxville
Chaoqun Ni

Chaoqun Ni (co-PI)

Assistant Professor

University of Wisconsin - Madison

Students

Deanna Zarrillo

Deanna Zarrillo

Research Assistant

Drexel University
Christopher Jackson

Christopher Jackson

Research Assistant

University of Tennessee - Knoxville
Noah Osman Azehaf

Noah Osman Azehaf

Research Assistant

University of Tennessee - Knoxville
Nathelen Wanjiru

Nathelen Wanjiru

Research Assistant

University of Tennessee - Knoxville
Baolu Yu

Baolu Yu

Research Assistant

University of Wisconsin - Madison
Xi Hong

Xi Hong

Research Assistant

University of Wisconsin - Madison
Xiang Zheng

Xiang Zheng

Research Assistant

University of Wisconsin - Madison
Mungshu Shen

Mungshu Shen

Research Assistant

University of Tennessee - Knoxville

Project Status

This project runs from 2021 to 2024.

  1. Data collection, survey preparation, website creation
  2. Data cleaning, supplementation, and classification
  3. Publication identification, survey identification, data publication
  4. Professor productivity identification, pilot/distribute questionnaire, disseminate outputs
  5. Professor modeling, follow-up interviews, visual dashboard creation
  6. Regression testing, visualization dashboard dissemination, data dissemination, conclude interviews, present results

Research Outputs