Index Catalog // Emory Theses and Dissertations

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Filtering by: Department Quantitative Science Year Spring 2023

1 - 8 of 8

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1. Jailbirds: A Machine-Learning Approach to Measuring Racial and Ethnic Disparities in Bail Setting

Student Name:: Saran, Shivam
Date Uploaded:: 04/10/2023
Research Field:: Law and Statistics
Department:: Quantitative Science

2. A Taxonomic Approach to Understanding Diet-Induced Changes in Mouse Fecal and Ileal Immunoglobulin A (IgA) Concentrations

Student Name:: Avila, Walter
Date Uploaded:: 04/10/2023
Research Field:: Biology, Microbiology, Biology, Cell, and Biology, Bioinformatics
Department:: Quantitative Science

3. The Emora College Companion: A Socialbot for College Students

Student Name:: Calvino Pintado, Camila
Date Uploaded:: 04/10/2023
Research Field:: Computer Science and Language, Linguistics
Department:: Quantitative Science

4. Temporal Resolution vs. Accuracy of Rhesus Macaques’ Social Network Based on RFID Tracking Data

Student Name:: Wang, Yizhou
Date Uploaded:: 04/09/2023
Research Field:: Biology, Zoology and Statistics
Department:: Quantitative Science

5. The Case of Digital Redlining: Evaluating whether Broadband Internet Speeds are Disproportionately Accessible in Metro Atlanta

Student Name:: Anantula, Manavi
Date Uploaded:: 04/09/2023
Research Field:: Sociology, Theory and Methods
Department:: Quantitative Science

6. Assessing the Economic Premium of Communist Party Membership

Student Name:: Che, Leng Seong
Date Uploaded:: 04/09/2023
Research Field:: Sociology, General and Statistics
Department:: Quantitative Science

7. Detecting Training Data Biases: MLR And Graphical LASSO Based Methods

Student Name:: Luo, Shuxuan
Date Uploaded:: 04/06/2023
Research Field:: Artificial Intelligence, Law, and Statistics
Department:: Quantitative Science

8. The Paradoxical Influence of Economic Growth on South Korea’s Birth Rate Dilemma

Student Name:: Kim, Yu Jun
Date Uploaded:: 04/05/2023
Research Field:: Economics, General, Economics, Labor, and Engineering, System Science
Department:: Quantitative Science