Mathematics for Social Justice: Resources for the College Classroom and Focusing on Quantitative Reasoning and Statistics (2-Volume Set)

ISBN-13: 9781470469177 / Miękka / 2022 / 564 str.

Spis treści

• Part :
• Getting started: G. Karaali and L. S. Khadjavi, An invitation to mathematics for social justice
• Essays: K. Hamman, Mathematics in service to democracy
• L. Marano, Preparing for student resistance: Rules of engagement for sensitive topics
• J. Hamilton and T. J. Pfaff, Social justice and sustainability: Two perspectives on the same system
• V. Piercey, Quantitative ethics
• D. Kung, Math for social justice: A last math class for responsible citizens
• Modules: D. Archey, Sea level change and function composition
• J. Beier, Exploring the problem of human trafficking
• G. Buhl and S. Q Kelly, Evaluating fairness in electoral districting
• S. Cohen and M. Pivarski, Modeling the 2010 Gulf of Mexico oil spill
• J. Cullinan and S. Hsiao, Voting with partially-ordered preferences
• J. Curran and A. Ross, Implementing Social Security: A historical role-playing game
• J. Glass and G. Karaali, Matching kids to schools: The school choice problem
• B. Gonzalez-Arevalo and W. Huang, Modeling the 2008 subprime mortgage crisis in the United States
• B. Gonzalez-Arevalo and W. Urbina-Romero, Using calculus to model income inequality
• K. Hamman, What does ""fair"" mean?
• A. Henderson and E. Kose, Social and environmental justice impacts of industrial agriculture
• R. Jaafar, Student loans: Fulfilling the American dream or surviving a financial nightmare?
• A. Vierling-Claassen, Modeling social change: The rise in acceptance of same-sex relationships
• J. Zobitz, T. Bibelnieks, and M. Lester, Sustainability analysis of a rural Nicaraguan coffee cooperative
• G. Karaali and L. S. Khadjavi, Postscript
• Part : G. Karaali and L. S. Khadjavi, Introduction
• J. Belock, Understanding over- and underrepresentation via conditional probability
• A. Brisbin, ""I need a job!"": Analyzing unemployment rates in college algebra and introductory statistics
• T. M. Brown, A three-part module on poverty
• F. Fisher and J. Warner, A gentrification module for quantitative reasoning
• M. M. Franco, Examining human rights issues through the lens of statistics
• T. Galanthay and T. J. Pfaff, Normal isn't ``normal'' when it comes to income
• T. Galanthay and T. J. Pfaff, Get the lead out: The connection between lead and crime
• D. Greenberg, D. Hughes Hallett, and L. S. Khadjavi, Policing and the issue of racial profiling
• A. J. Miller, Measures of income inequality
• K. Piatek-Jimenez, Super Size Me: Exploring the nutrition of fast food
• K. Piatek-Jimenez, Exploring the benefits of recycling
• V. Piercey, The new Jim Crow: A racial checkup for the United States
• K. Simic-Muller, Who makes the minimum wage?
• J. Suzuki, Mandatory drug tests for recipients of public assistance: Mathematical interpretations and implications
• J. Suzuki, The limits of partisan gerrymandering
• Z. Teymuroglu and J. C. Chambliss, Forecasting the past: Teaching regressions
• U. Williams, Partisan politics and central tendencies
• G. Karaali and L. S. Khadjavi, Mathematics for social justice: Closing thoughts and next steps