The Mathematics of Mathematics: Using Mathematics and Data Science to Analyze the Mathematical Sciences Community and Enhance Social Justice
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| Title: | The Mathematics of Mathematics: Using Mathematics and Data Science to Analyze the Mathematical Sciences Community and Enhance Social Justice |
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| Authors: | Ron Buckmire, Joseph E. Hibdon, Drew Lewis, Omayra Ortega, José L. Pabón, Rachel Roca, Andrés R. Vindas-Meléndez |
| Source: | La Matematica. 4:110-125 |
| Publication Status: | Preprint |
| Publisher Information: | Springer Science and Business Media LLC, 2025. |
| Publication Year: | 2025 |
| Subject Terms: | 4. Education, Mathematics - History and Overview, History and Overview (math.HO), FOS: Mathematics, 10. No inequality, 16. Peace & justice, 00-02, 00A35, 00A69, 97-01, 97A40 |
| Description: | We present and discuss a curated selection of recent literature related to the application of quantitative techniques, tools, and topics from mathematics and data science that have been used to analyze the mathematical sciences community. We engage in this project with a focus on including research that highlights, documents, or quantifies (in)equities that exist in the mathematical sciences, specifically, and STEM (science, technology, engineering, and mathematics) more broadly. We seek to enhance social justice in the mathematics and data science communities by providing numerous examples of the ways in which the mathematical sciences fails to meet standards of equity, equal opportunity and inclusion. We introduce the term ``mathematics of Mathematics" for this project, explicitly building upon the growing, interdisciplinary field known as ``Science of Science" to interrogate, investigate, and identify the nature of the mathematical sciences itself. We aim to promote, provide, and posit sources of productive collaborations and we invite interested researchers to contribute to this developing body of work. 18 pages, comments welcomed |
| Document Type: | Article |
| Language: | English |
| ISSN: | 2730-9657 |
| DOI: | 10.1007/s44007-024-00146-6 |
| DOI: | 10.48550/arxiv.2307.03241 |
| Access URL: | http://arxiv.org/abs/2307.03241 |
| Rights: | Springer Nature TDM CC BY |
| Accession Number: | edsair.doi.dedup.....70126b37d5e75ca301d4bfd44cfcf5d6 |
| Database: | OpenAIRE |
Nájsť tento článok vo Web of Science | Abstract: | We present and discuss a curated selection of recent literature related to the application of quantitative techniques, tools, and topics from mathematics and data science that have been used to analyze the mathematical sciences community. We engage in this project with a focus on including research that highlights, documents, or quantifies (in)equities that exist in the mathematical sciences, specifically, and STEM (science, technology, engineering, and mathematics) more broadly. We seek to enhance social justice in the mathematics and data science communities by providing numerous examples of the ways in which the mathematical sciences fails to meet standards of equity, equal opportunity and inclusion. We introduce the term ``mathematics of Mathematics" for this project, explicitly building upon the growing, interdisciplinary field known as ``Science of Science" to interrogate, investigate, and identify the nature of the mathematical sciences itself. We aim to promote, provide, and posit sources of productive collaborations and we invite interested researchers to contribute to this developing body of work.<br />18 pages, comments welcomed |
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| ISSN: | 27309657 |
| DOI: | 10.1007/s44007-024-00146-6 |