
Social Science
Title: Who will win the 2020 Presidential election?
Author: Dr. Daniel Braaten.
Department: Political Sci/Sociology/Geography
Abstract: Using previous Presidential election results, polling data, and relevant economic data we will test various models of Presidential election outcomes to offer a prediction on who will win the 2020 Presidential election. This module will introduce students to basic statistical analysis as well as the importance of “fundamentals” in determining election outcomes
Title: What drives policy experimentation is happening in the states?
Author: Dr. Daniel Braaten.
Department: Political Sci/Sociology/Geography
Abstract: The United States is a federal democracy and one of the supposed upsides of federalism is “policy experimentation” - that different states can pursue different policies. In this view states are “laboratories of Democracy.” The purpose of this assignment is for students to see what factors drive policy experimentation in the states? Is policy experimentation driven by political ideology? partisanship? demographic factors? or some other factors? In this assignment students will look at correlations between variables measuring policy experimentation in the states and variables for state level measures of ideology, partisanship and demographics along with others. Although correlation is not causation the purpose of the assignment is for students to see what factors may influence which states pursue what types of public policies and set them up to further study those relationships
You will find modules within the following broad categories:
Each module has two components:
1) A student version which describes the project , sources of data, methodology and other information needed to complete the project.
2) An instructor's notes which includes additional information for the instructors.
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Supplemental Material
Title: No fans, Home advantage lost? Utilizing Covid-19 Data to Explore Fan effect.
Author: Dr. Reza Abbasian
Department: Math Computer Science & Information Systems
Abstract: In this project, we explore home field advantage in sports to study if having fewer or no fans affect home advantage for teams in certain sports. Covid-19 provided us with the data to compare performance of teams at home games versus away matches. Groups of students are assigned to various sports, specifically the British Basketball League (BBL), Major League Baseball (MLB), National Basketball Association (NBA), and Major League Soccer (MLS) to see how COVID-19 affected home field advantage.