La Matematica - Call for Papers: Quantitative Justice

Submission Deadline: November 1, 2024

Guest Editors:

• Omayra Ortega (Sonoma State University, USA)
• Carrie Diaz-Eaton (Bates College, USA)
• Ron Buckmire (Occidental College, USA)
• Joseph Hibdon, Jr. (Northeastern Illinois University, USA)
• Tian-An Wong (University of Michigan-Dearborn, USA)
• Victor Piercey (Ferris State University, USA)

Overview:

The goal of this volume is to provide examples of contemporary results and research related to quantitative justice and the intersections of data science and social justice. The theme of the volume is work that uses quantitative and qualitative techniques to address contemporary social justice issues.

Quantitative Justice (QJ) is defined as “the application of techniques, tools and topics from various quantitative sciences (e.g., applied mathematics, data science, computer science, etc.) in subject domains that are derived from the social sciences (e.g., political science, law, economics, etc.) with the goal of promoting social justice.” Data Science for Social Justice (DS4SJ) is broadly defined as “data scientific work (broadly construed) that actively challenges systems of inequity and concretely supports the liberation of oppressed and marginalized communities.” We believe that QJ is the more expansive term so we have selected this as the title of the volume, although we will happily accept work firmly characterized as DS4SJ.

The growth in data science has led to the emergence of mathematicians, computer scientists, and many others contributing to data science.  Quantitative justice is a novel interdisciplinary interaction between mathematicians/computer scientists/data scientists with members of community organizations or other disciplines in pursuit of social justice, not just through publications and academic venues, but through activism and political action. 

Submission Instructions:
Papers should be submitted at the La Matematica website:
https://www.editorialmanager.com/lama/default.aspx (this opens in a new tab)

• Select Article Type: Manuscript
• Upload your files: When the system asks, "Are you submitting this manuscript to an Article Collection?" reply: Yes, then choose the option "A.C.: Quantitative Justice”.
• Finally: Complete the submission process as required.

The papers will be reviewed according to the editorial policy & standards of La Matematica. The papers should be original, unpublished, and not currently under consideration for publication elsewhere. Prior to submission, please ensure that your paper adheres to the journal’s author guidelines, which can be found at: https://www.springer.com/journal/44007/submission-guidelines (this opens in a new tab)