Ayham A G's Senior Project Blog
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Project Title: Shaping Representation: Using statistics to create fair congressional maps BASIS Advisor: Elise Gerard Internship Location: Trinity University Onsite Mentor: Dr. Eduardo Cabral Balreira |
Project Abstract
Gerrymandering refers to the enduring process by which the ruling political party in the state draws boundaries in a way that gives them a disproportionate amount of representation within the congressional and state legislatures. This is a significant issue within our current political system as it diminishes voter power and thus acts as an anti-democratic measure. It has also historically been used to diminish minority representation by splitting their population into multiple districts to dilute their vote share. Dr. Cabral Balreira at Trinity University serves as the best advisor for this project as his work with the “Metric Geometry and Gerrymandering group” has been used to help create the foundation of this senior project and has been used by scholars across the country. Trinity University is also a leading institution for research into electoral geometry and using math to create models meant to improve representation. The methodology for this project primarily focuses on measuring the values of isoperimetry, convexity, and disparity using statistical tests. This requires the conversion of the chosen state into a reduced metagraph that can more effectively represent the drafts of the possible maps through nodes. This would also use tests like the efficiency gap methods, Reock tests, and Polsby-Popper scores. The results of this project will help establish mathematically objective measures that can be used as guidelines for the creation of fair congressional maps. This project will help me expand upon research that I have been partaking in since 9th grade, helping me get a better grasp on partisan and demographic information needed to be successful in political science.
Week 10-The End
Hey everyone! I'm so glad that y'all have decided to join me for my blog on the project! This week, I finally finished my Texas map and I also have a few others that I would like to show. I also just want to reiterate some of the conclusions that we derived from my spreadsheet... Read More
Week 9- Actual Maps and Real Life Clusters!
Hey everyone! I'm so glad that y'all decided to join me again to read about my research, I was finally get into the part of the project that has me dealing with more real data. I also helped with some more of the prep work for the summer project that JJ and Arthur will be... Read More
Week 8- Working on the Final Presentation and More Analysis
Hey y'all, I hope you are all doing well! I'm so excited that y'all joined me again for my blog, this week I just put a couple more of the data sets through the model and started working on the final presentation. The datasets that I used this week, were randomly generated as I wanted... Read More
Week 7- Analysis and Comparison
Hey y’all I’m so excited that y’all decided to join me again for my blog! This week I just ran the program a couple more times with some different datasets, and I also got to meet some new people. To start I ran our program in Matlab this week with some of the datasets that... Read More
Week 6- Technical Issues and the Importance of Starting Points
Hello y’all, I’m so excited that you joined back with me to see what I did this week. I did a lot of the same thing as last week, just creating new numerical datasets using spreadsheets. Most of them were just altered versions of the ones that I created earlier, this was done by just... Read More
Week 5- Fun with Spreadsheets
Hello everyone! I’m so excited that y’all decided to check back in with me this week. This week I worked on creating numerical datasets that a code can easily draw districts based on. To do this I used google sheets, and I would use 1s to represent the green voters and 0s to represent... Read More
Week 4- Creating Datasets
Hey Everyone! Thank you so much for coming back to my blog, we will be discussing random datasets and how we must learn to use data before we apply any real datasets. It’s important that we don’t start off with real data because it becomes much more complicated to get started, and can easily be... Read More
Week 3 Blog: Establishing Statistical Measures
Hello everyone, welcome to week 3 of my Senior Project. This week I did more research into the essential statistical measures needed to effectively research the link between gerrymandering and segregation. I came to discover that there are five main dimensions of these measures. Five main dimensions of segregation: Measures of Evenness Dissimilarity index,... Read More
Week 2: Majority-Minority Districts and Minority-Influence DIstricts
Hey Everyone! Thank you so much for checking back into my project, and welcome to week 2! This week I analyzed past research on the relationship between race and gerrymandering, as well as learning about measures used to calculate segregation. To start, I analyzed majority-minority districts to determine whether they actually lead to better representation... Read More
Senior Project Blog Week 1: School Districts and Segregation, Starting with the Basics
Hey y’all, my name is Ayham Al-Ghoul and I’m so excited to take you along for this project to address the practice of gerrymandering and how we can create more fair maps! This week, I focused specifically on school district lines and how they help to perpetuate systemic inequalities. The biggest issue that came from... Read More