Journal of Commerce and Management Thought
  • Year: 2017
  • Volume: 8
  • Issue: 1

Mathematics for social and behavioral sciences

  • Author:
  • Deanna Haunsperger1, Jonathan Hodge2, Michael Jones3, Donald Saari4
  • Total Page Count: 8
  • Page Number: 10 to 17

1Carleton College, Chair

2Grand Valley State University

3American Mathematical Society

4University of California, Irvine

Online published on 18 July, 2017.

Abstract

Mathematics for the Social and Behavioral Sciences is a very broadfield of study, including applications in the social sciences (anthropology,demography, economics, education, geography, history, linguistics, politicalscience, sociology) and in the behavioral sciences (psychology and cognitivesciences). This area is tightly allied with other program areas in the CUPM, including Financial Mathematics, Applied Mathematics, Statistics, as well asthe areas of Mathematical Economics and Mathematical Modeling. Some ofthe same types of analysis, on similar or related problems, are used forunderstanding social and behavioral sciences.

The exciting aspect of this area is that despite the hundreds of years of development of mathematical tools to study the sciences, and, for a shorter period of time, mathematical economics, many of the mathematical tools,models, approaches, and frameworks to study social and behavioral sciences have only been studied for the past thirty years and many have yet to bedeveloped. Mathematical analysis has been used to study demography, votingtheory, the fair division of goods, game theory, social networks, analysis ofconflict, social choice, measurement and learning (from mathematical psychology), and other topics. This area can expect to see tremendous growth as professionals from a number of fields realize the value of mathematical analysis.