A Mathematical Analysis of Mathematical Faculty

Autor:	Chayes, Victoria, Ih, Dodam, Yao, Yukun, Zeilberger, Doron, Zhang, Tianhao
Rok vydání:	2020
Předmět:	Mathematics - History and Overview
Druh dokumentu:	Working Paper
Popis:	We use the data of tenured and tenure-track faculty at ten public and private math departments of various tiered rankings in the United States, as a case study to demonstrate the statistical and mathematical relationships among several variables, e.g., the number of publications and citations, the rank of professorship and AMS fellow status. At first we do an exploratory data analysis of the math departments. Then various statistical tools, including regression, artificial neural network, and unsupervised learning, are applied and the results obtained from different methods are compared. We conclude that with more advanced models, it may be possible to design an automatic promotion algorithm that has the potential to be fairer, more efficient and more consistent than human approach. Comment: 26 pages, 8 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2005.10936 Zobrazit plný text záznamu View this record from Arxiv