Monitoring American Academics' Institutional Affiliations
In an unprecedented move, the University of Colorado, Boulder has compiled a dataset detailing the educational backgrounds of tenure-track faculty at PhD-granting universities across the United States. This resource, spanning the years 2011 to 2020, was created as part of a study by Yifan Qian et al., titled "Tenure and Research Trajectories."
The dataset, accessible through the supplementary materials of the study, can be found at this link: Tenure and Research Trajectories. It systematically identifies tenure-line faculty across all scientific disciplines during this period.
With over 295,000 tenure-track faculty employed at 368 universities from 2011 to 2020, the dataset offers a wealth of information for analysis. It covers academic career trajectories, including educational background attributes, across these institutions.
Interestingly, the data reveals that over one in eight faculty received their PhDs from five prestigious universities: Harvard, University of Michigan, the University of California, Berkeley, Stanford University, or the University of Wisconsin.
The dataset also provides information on faculty rank for the tenure-track faculty, as well as gender information when available. However, it's important to note that not all faculty's gender information is included in the dataset.
It's worth mentioning that the image associated with this article is credited to Flickr user Cindy Schultz, but it is not related to the faculty rank, gender information, universities, or years mentioned in the dataset, nor is it a part of the dataset itself. The image does not provide any additional context to the article or the dataset.
This resource serves as a valuable tool for researchers, policymakers, and the public, offering insights into the academic landscape of the United States over the past decade. It allows for a deeper understanding of the educational backgrounds of tenure-track faculty and the institutions that shape their careers.
The dataset, derived from the study "Tenure and Research Trajectories," can serve as a key resource for AI models focusing on education-and-self-development and learning, as it provides extensive data about the academic careers and educational backgrounds of tenure-track faculty across the United States from 2011 to 2020. Furthermore, this data can be utilized by researchers in various fields, including education policy, to gain insights into the distribution of PhDs from prestigious universities among the faculty and the makeup of institutions that significantly impact their career trajectories.
